Index (AutoML: Models 10.2.0.12 API)

A B C D E F G H I J K L M N O P Q R S T U V W Y

A

A - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter
accuracy(double) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ModelEvaluationResult.Builder: Set accuracy.
AdaBoostClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.adaboost: The type Ada boost classifier.
AdaBoostClassifier(AdaBoostClassifier.Builder) - Constructor for class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier
AdaBoostClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.adaboost: The type Builder.
AdaBoostClassifierSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.adaboost: The type Ada Boost classifier serializer.
AdaBoostClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifierSerializer
AdaBoostConstants - Class in com.workfusion.vds.sdk.ml.sklearn.adaboost.constant: Constant for AdaBoost with Python-based implementation via sklearn.
AdaBoostParamGridClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.adaboost: AdaBoost param grid classifier to select best param values from provided for tuning params.
AdaBoostParamGridClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.adaboost
add(Dimension) - Method in class com.workfusion.vds.sdk.api.hpo.ParameterSpace.Builder
add(Element.ElementDescriptor) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Creates element from its description.
addToken(Document, String, int, int) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.MatcherTokenAnnotator
addToken(Document, String, int, int) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.SplitterTokenAnnotator
addToken(Document, int, int) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.TokenAnnotator
AhoCorasickDictionaryNerAnnotator - Class in com.workfusion.vds.sdk.nlp.component.annotator.ner: Base class for dictionary based NER annotator that uses Aho Corasick algorithm to label named entities.
AhoCorasickDictionaryNerAnnotator(String, DictionaryProvider<String>) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.ner.AhoCorasickDictionaryNerAnnotator
algorithm(AlgorithmType) - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier.Builder: Sets boosting algorithm.
algorithm(AlgorithmType) - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier.Builder: Sets algorithm used to compute the nearest neighbors.
AlgorithmType - Enum in com.workfusion.vds.sdk.ml.sklearn.adaboost.parameters: The enum Algorithm type.
AlgorithmType - Enum in com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters: The enum Algorithm type.
alpha(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifier.Builder: Sets the alpha parameter.
alpha(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets the constant that multiplies the regularization term.
AmountFormatNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization: The AmountFormatNormalizer class provides amount formatting based on format pattern and locale.
AmountFormatNormalizer(Resource) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.AmountFormatNormalizer
AmountFormatNormalizer(Resource, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.AmountFormatNormalizer
anchorDate(LocalDate) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatNormalizer.Builder
Annotator<T extends Document> - Interface in com.workfusion.vds.sdk.api.nlp.annotator: The Annotator interface represents component that process document and creates elements on document data.
AnnotatorException - Exception in com.workfusion.vds.sdk.api.nlp.annotator: Thrown to indicate that there is an error due to annotator processing.
AnnotatorException() - Constructor for exception com.workfusion.vds.sdk.api.nlp.annotator.AnnotatorException
AnnotatorException(String, Throwable) - Constructor for exception com.workfusion.vds.sdk.api.nlp.annotator.AnnotatorException
AnnotatorException(String) - Constructor for exception com.workfusion.vds.sdk.api.nlp.annotator.AnnotatorException
AnnotatorException(Throwable) - Constructor for exception com.workfusion.vds.sdk.api.nlp.annotator.AnnotatorException
AreFollowingTokensCapitalizedBeforeNerFE<F extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe.ner: Determines if tokens between the focus and the first following NER with the given type are an all uppercase on the first letter.
AreFollowingTokensCapitalizedBeforeNerFE() - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.ner.AreFollowingTokensCapitalizedBeforeNerFE
AreFollowingTokensCapitalizedBeforeNerFE(String) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.ner.AreFollowingTokensCapitalizedBeforeNerFE
attributes(Map<String, String>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField.Builder: Set field attributes.
AutoMlKeepAllNegativeExamplesFilter<S extends Element,F extends Element,C extends com.workfusion.nlp.automl.chunking.Chunk> - Class in com.workfusion.vds.sdk.nlp.component.filter: Keeps all positive and negative elements different then gold values.
AutoMlKeepAllNegativeExamplesFilter(Class<F>, Class<C>) - Constructor for class com.workfusion.vds.sdk.nlp.component.filter.AutoMlKeepAllNegativeExamplesFilter
AutoMlKeepAllNegativeExamplesFilter(Class<F>, Class<C>, double) - Constructor for class com.workfusion.vds.sdk.nlp.component.filter.AutoMlKeepAllNegativeExamplesFilter
average(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets the average.
average(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets whether computes the averaged SGD weights.

B

BaggingClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.bagging: The type Bagging classifier.
BaggingClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.bagging: The type Builder.
BaggingClassifierSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.bagging: The type Bagging classifier serializer.
BaggingClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifierSerializer
BALANCE_WEIGHTS - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration: Parameter to enable "balanced" mode.
BaseConfigurationContext - Class in com.workfusion.vds.sdk.nlp.component.pipeline: Abstract class for pipeline configuration context.
BaseConfigurationContext(Map<String, Object>) - Constructor for class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext
BaseDpLinearClassifier - Class in com.workfusion.vds.sdk.ml.dp.bolton.linear: The base class for Bolton Differential Privacy Linear classifiers.
BaseDpLinearClassifier(BaseDpLinearClassifier.Builder) - Constructor for class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier
BaseDpLinearClassifier.Builder<T extends BasePythonClassifier> - Class in com.workfusion.vds.sdk.ml.dp.bolton.linear: The type Builder.
BaseDpLinearClassifierSerializer<T extends BaseDpLinearClassifier> - Class in com.workfusion.vds.sdk.ml.dp.bolton.linear: The base class for Bolton DP classifier serializer.
BaseDpLinearClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifierSerializer
BaseFieldResultMapper<T extends ElementResult<E>,E extends StatisticsElement> - Class in com.workfusion.vds.sdk.nlp.component.statistics.mapper: Base class to map field DTO's representation over gold and extracted fields for one field for one document to create required instance of ElementResult.
BaseFieldResultMapper(StatisticsEvaluationType) - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseFieldResultMapper: Create an instance with specified strategy of mapping.
BaseGroupingProcessor - Class in com.workfusion.vds.sdk.nlp.component.processing.grouping: The BaseGroupingProcessor is base class for grouping processors.
BaseGroupingProcessor() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.grouping.BaseGroupingProcessor
BaseGroupingProcessor(Collection<String>) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.grouping.BaseGroupingProcessor
BaseIeGoldVsExtractedPrinter - Class in com.workfusion.vds.sdk.nlp.component.statistics.printer: Base class for Information Extraction gold vs extracted statistics printers.
BaseIeGoldVsExtractedPrinter() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIeGoldVsExtractedPrinter
BaseIePerFieldCSVPrinter - Class in com.workfusion.vds.sdk.nlp.component.statistics.printer: Base class for Information Extraction per field statistics printers.
BaseIePerFieldCSVPrinter() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter
BaseKeywordsInElementFE<SEARCH extends Element,FOCUS extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe: Base class to extract features from SEARCH element, that covered/covering target FOCUS element.
BaseKeywordsInElementFE(Collection<String>, Class<SEARCH>, boolean) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.BaseKeywordsInElementFE
BaseLocalTrainingConfiguration - Class in com.workfusion.vds.sdk.run.config
BaseLocalTrainingConfiguration(BaseLocalTrainingConfiguration.Builder) - Constructor for class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration
BaseLocalTrainingConfiguration.Builder<B,T> - Class in com.workfusion.vds.sdk.run.config: Builder class used to build instance of LocalTrainingConfiguration.
BaseNerAnnotator - Class in com.workfusion.vds.sdk.nlp.component.annotator.ner: Abstract class for named entity annotators.
BaseNerAnnotator(String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator
BaseNerAnnotator.ElementDTO - Class in com.workfusion.vds.sdk.nlp.component.annotator.ner
BaseNerInFocusElementFE<SEARCH extends Element,FOCUS extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe.ner
BaseNerInFocusElementFE(String, Class<SEARCH>) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.ner.BaseNerInFocusElementFE
BaseNumberFormatNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization: Base class for number format normalizers.
BaseNumberFormatNormalizer(Resource) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.BaseNumberFormatNormalizer
BaseNumberFormatNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.BaseNumberFormatNormalizer
BasePythonClassifier - Class in com.workfusion.vds.sdk.ml.python: The abstract class for python classifiers.
BasePythonClassifier(BasePythonClassifier.Builder) - Constructor for class com.workfusion.vds.sdk.ml.python.BasePythonClassifier: Creates new BasePythonClassifier instance.
BasePythonClassifier.Builder,T extends BasePythonClassifier> - Class in com.workfusion.vds.sdk.ml.python: The base class for python classifier builders.
BasePythonClassifierSerializer<C extends BasePythonClassifier> - Class in com.workfusion.vds.sdk.ml.python: The abstract class for python serializers.
BasePythonClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.python.BasePythonClassifierSerializer
BasePythonFeaturesExtractor - Class in com.workfusion.automl.ml.python: The abstract class for python features extractors.
BasePythonFeaturesExtractor(BasePythonFeaturesExtractor.Builder) - Constructor for class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor: Creates new BasePythonFeaturesExtractor instance.
BasePythonFeaturesExtractor.Builder,T extends BasePythonFeaturesExtractor> - Class in com.workfusion.automl.ml.python: The base class for python classifier builders.
BaseRegexNerAnnotator - Class in com.workfusion.vds.sdk.nlp.component.annotator.ner: This annotator extracts named entities based on regular expression.
BaseRegexNerAnnotator(String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator
BaseRegexNerAnnotator(String, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator
BaseResultMapper<T extends ElementResult<E>,E extends StatisticsElement> - Class in com.workfusion.vds.sdk.nlp.component.statistics.mapper: Base class to map StatisticsElement DTO's over gold and extracted values for one document to create required instance of ElementResult.
BaseResultMapper() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseResultMapper
BaseResultMapper.MappingResult<E extends StatisticsElement> - Class in com.workfusion.vds.sdk.nlp.component.statistics.mapper: Internal class to represent mapping results.
BaseRunnerConfiguration - Class in com.workfusion.vds.sdk.run.config: Base class for model run configurations.
BaseRunnerConfiguration() - Constructor for class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration
BaseStatisticsCalculator> - Class in com.workfusion.vds.sdk.nlp.component.statistics: Base class for statistic implementation.
BaseStatisticsCalculator() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.BaseStatisticsCalculator
batchSize(int) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets the number of samples in one batch.
begin(int) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField.Builder: Set field begin position.
BIAS - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants: If bias >= 0, instance x becomes [x; bias]; if < 0, no bias term added.
bias(double) - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Builder
BIAS_ARG - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants
bidirectional(Class<? extends Element>, Class<? extends Element>) - Method in interface com.workfusion.vds.sdk.api.nlp.cache.CacheBuilder: Creates a bidirectional index.
bootstrap(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets whether features are drawn with replacement.
bootstrap(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets whether bootstrap samples are used when building trees.
bootstrap(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets whether bootstrap samples are used when building trees.
bootstrapFeatures(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets whether features are drawn with replacement.
build() - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder: Check bridge and build classifier.
build() - Method in class com.workfusion.vds.sdk.api.hpo.Dimension.Builder: Build dimension based on provided items.
build() - Method in class com.workfusion.vds.sdk.api.hpo.ParameterSpace.Builder
build() - Method in class com.workfusion.vds.sdk.api.hypermodel.pipeline.PipelineConfiguration.Builder
build() - Method in class com.workfusion.vds.sdk.api.ml.dataset.Record.Builder: Construct record instance.
build() - Method in class com.workfusion.vds.sdk.api.ml.Prediction.Builder: Construct prediction instance.
build() - Method in class com.workfusion.vds.sdk.api.ml.PredictionResult.Builder: Construct prediction result instance.
build() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression.DpLogisticRegressionClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.svm.DpSvmClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearParamGridClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier.Builder: Build classifier.
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostParamGridClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorParamGridClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionParamGridClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestParamGridClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
build() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatNormalizer.Builder
build() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder
build() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ClassificationDocumentResult.Builder: Build ClassificationDocumentResult
build() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult.Builder: Build element result.
build() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.FieldResult.Builder
build() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.GroupFieldResult.Builder
build() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.IeDocumentResult.Builder: Build IeDocumentResult
build() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.LabelResult.Builder
build() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ModelEvaluationResult.Builder: Build model evaluation result.
build() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField.Builder: Build field DTO.
build() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField.Builder: Build StatisticGroupField DTO.
build() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsLabel.Builder: Build StatisticLabel DTO.
build() - Method in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder: Builds T.
build() - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Build cluster (BEP) training configuration.
build() - Method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration.Builder: Builds LocalExecutionConfiguration.
build() - Method in class com.workfusion.vds.sdk.run.config.LocalTrainingConfiguration.Builder: Builds LocalTrainingConfiguration.
Builder() - Constructor for class com.workfusion.automl.ml.fe.GenericPythonFE.Builder
Builder() - Constructor for class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder
Builder(Dimension.Type) - Constructor for class com.workfusion.vds.sdk.api.hpo.Dimension.Builder
Builder(String) - Constructor for class com.workfusion.vds.sdk.api.hpo.ParameterSpace.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.api.hpo.ParameterSpace.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.api.hypermodel.pipeline.PipelineConfiguration.Builder
builder() - Static method in class com.workfusion.vds.sdk.api.ml.dataset.Record: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.api.ml.dataset.Record.Builder
builder() - Static method in class com.workfusion.vds.sdk.api.ml.Prediction: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.api.ml.Prediction.Builder
builder() - Static method in class com.workfusion.vds.sdk.api.ml.PredictionResult: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.api.ml.PredictionResult.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Instantiates a new Builder.
builder() - Static method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression.DpLogisticRegressionClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression.DpLogisticRegressionClassifier.Builder: Instantiates a new Builder.
builder() - Static method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.svm.DpSvmClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.dp.bolton.linear.svm.DpSvmClassifier.Builder: Instantiates a new Builder.
builder() - Static method in class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifier.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.ml.liblinear.LiblinearParamGridClassifier.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.ml.python.BasePythonClassifier.Builder
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier.Builder: Instantiates a new Builder.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostParamGridClassifier.Builder
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Instantiates a new Builder.
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Instantiates a new Builder.
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Instantiates a new Builder.
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Instantiates a new Builder.
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Instantiates a new Builder.
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier.Builder: Instantiates a new Builder.
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Instantiates a new Builder.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorParamGridClassifier.Builder
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Instantiates a new Builder.
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Instantiates a new Builder.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionParamGridClassifier.Builder
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifier
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifier.Builder: Instantiates a new Builder.
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Instantiates a new Builder.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestParamGridClassifier.Builder
builder() - Static method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Construct new builder instance.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Instantiates a new Builder.
Builder() - Constructor for class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatNormalizer.Builder
builder() - Static method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer
Builder() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.model.ClassificationDocumentResult.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.model.FieldResult.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.model.GroupFieldResult.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.model.IeDocumentResult.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.model.LabelResult.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.model.ModelEvaluationResult.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsLabel.Builder
Builder() - Constructor for class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder
builder() - Static method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration: Builder utility class for Configuration instantiation.
builder() - Static method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration
builder() - Static method in class com.workfusion.vds.sdk.run.config.LocalTrainingConfiguration
buildModel() - Method in class com.workfusion.automl.ml.fe.GenericPythonFE.Builder
buildModel() - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder: Build classifier.
buildResult(E, E) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseResultMapper: Build ElementResult based on gold and extracted values.
buildResult(StatisticsField, StatisticsField) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.FieldResultMapper
buildResult(StatisticsGroupField, StatisticsGroupField) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.GroupFieldResultMapper
buildResult(StatisticsLabel, StatisticsLabel) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.LabelResultMapper
buildTokens(Document, String, int) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.MatcherTokenAnnotator
buildTokens(Document, String, int) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.SplitterTokenAnnotator
buildTokens(Document, String, int) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.TokenAnnotator: Build tokens from text
buildTrie(Collection<String>) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.AhoCorasickDictionaryNerAnnotator

C

CacheBuilder - Interface in com.workfusion.vds.sdk.api.nlp.cache: The CacheBuilder represents an interface that should be used to dynamically add indexes into document cache.
calculate(Collection<O>) - Method in interface com.workfusion.vds.sdk.api.nlp.statistics.StatisticsCalculator: Accepts a collection of of results for all documents that was produced in {StatisticsCalculator.process(Document) method.
calculate(Collection<O>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.BaseStatisticsCalculator
calculateModelEvaluationMetrics(long, long, long, long) - Static method in class com.workfusion.vds.sdk.nlp.component.util.PrinterUtils: Calculates model evaluation metrics: precision, recall, f1, accuracy.
capitalize() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder: Provides capitalization of all space-separated words in text.
CapitalizeNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: Capitalizes all the whitespace separated words in a string.
CapitalizeNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.CapitalizeNormalizer
CASE_SENSITIVE - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration
Cell - Interface in com.workfusion.vds.sdk.api.nlp.model: The Cell interface represents atomic table element formed by the intersection of a column and a row.
Cell.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
centuryShift(int) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatNormalizer.Builder: Sets century's shift to convert 3- or 2-digit years into 4-digit format.
charsetName - Variable in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider
CHECKER_MODEL_ENABLED - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration: Enable checker model
CHECKER_MODEL_PRECISION_THRESHOLD - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration: Checker model precision validation threshold
CheckerModelPostProcessor - Class in com.workfusion.vds.sdk.nlp.component.processing: The CheckerModelPostProcessor could be applied to filter fields.
CheckerModelPostProcessor() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.CheckerModelPostProcessor
ClassificationDocument - Interface in com.workfusion.vds.sdk.api.nlp.model: The ClassificationDocument interface represents the document that is used in Classification.
ClassificationDocumentResult - Class in com.workfusion.vds.sdk.nlp.component.statistics.model: This class represent result of one Document processing by classification statistic.
ClassificationDocumentResult.Builder - Class in com.workfusion.vds.sdk.nlp.component.statistics.model
ClassificationGoldVsExtractedCSVPrinter - Class in com.workfusion.vds.sdk.nlp.component.statistics.printer: Classification statistics printer implementation.
ClassificationGoldVsExtractedCSVPrinter() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationGoldVsExtractedCSVPrinter
ClassificationPerLabelCSVPrinter - Class in com.workfusion.vds.sdk.nlp.component.statistics.printer: Classification statistics printer implementation.
ClassificationPerLabelCSVPrinter() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationPerLabelCSVPrinter
ClassificationStatisticsCalculator - Class in com.workfusion.vds.sdk.nlp.component.statistics: Classification statistic implementation.
ClassificationStatisticsCalculator() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.ClassificationStatisticsCalculator
Classifier - Interface in com.workfusion.vds.sdk.api.ml: Marker interface for classifiers.
classPriority(List<Double>) - Method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifier.Builder: Sets class priorities
classWeight(ClassWeightType) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets class weight.
classWeight(ClassWeightType) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets class weight.
classWeight(ClassWeightType) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets class weight.
classWeight(ClassWeightType) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets class weight.
classWeight(ClassWeightType) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets class weight.
classWeight(ClassWeightType) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets class weight.
classWeight(ClassWeightType) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets class weight.
classWeight(ClassWeightType) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets class weight.
ClassWeightType - Enum in com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters: The enum Class weight preset.
ClassWeightType - Enum in com.workfusion.vds.sdk.ml.sklearn.extratree.parameters: The enum Class weight preset.
ClassWeightType - Enum in com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters: The enum Class weight preset.
ClassWeightType - Enum in com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters: The enum Class weight preset.
ClassWeightType - Enum in com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters: The enum Class weight preset.
ClassWeightType - Enum in com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters: The enum Class weight preset.
ClassWeightType - Enum in com.workfusion.vds.sdk.ml.sklearn.sgd.parameters: The enum Class weight preset.
close() - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor
close() - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier
close() - Method in interface com.workfusion.vds.sdk.ml.python.PythonClassifier
ClusterTrainingConfiguration - Class in com.workfusion.vds.sdk.run.config: Configuration class for model training launch in cluster (BEP).
ClusterTrainingConfiguration.Builder - Class in com.workfusion.vds.sdk.run.config: Builder class used to build instance of ClusterTrainingConfiguration.
com.workfusion.automl.ml.fe - package com.workfusion.automl.ml.fe
com.workfusion.automl.ml.python - package com.workfusion.automl.ml.python
com.workfusion.vds.sdk.api.exception - package com.workfusion.vds.sdk.api.exception
com.workfusion.vds.sdk.api.hpo - package com.workfusion.vds.sdk.api.hpo
com.workfusion.vds.sdk.api.hypermodel - package com.workfusion.vds.sdk.api.hypermodel
com.workfusion.vds.sdk.api.hypermodel.annotation - package com.workfusion.vds.sdk.api.hypermodel.annotation
com.workfusion.vds.sdk.api.hypermodel.pipeline - package com.workfusion.vds.sdk.api.hypermodel.pipeline
com.workfusion.vds.sdk.api.ml - package com.workfusion.vds.sdk.api.ml
com.workfusion.vds.sdk.api.ml.dataset - package com.workfusion.vds.sdk.api.ml.dataset
com.workfusion.vds.sdk.api.ml.serialize - package com.workfusion.vds.sdk.api.ml.serialize
com.workfusion.vds.sdk.api.nlp.annotation - package com.workfusion.vds.sdk.api.nlp.annotation
com.workfusion.vds.sdk.api.nlp.annotator - package com.workfusion.vds.sdk.api.nlp.annotator
com.workfusion.vds.sdk.api.nlp.cache - package com.workfusion.vds.sdk.api.nlp.cache
com.workfusion.vds.sdk.api.nlp.configuration - package com.workfusion.vds.sdk.api.nlp.configuration
com.workfusion.vds.sdk.api.nlp.fe - package com.workfusion.vds.sdk.api.nlp.fe
com.workfusion.vds.sdk.api.nlp.fe.annotation - package com.workfusion.vds.sdk.api.nlp.fe.annotation
com.workfusion.vds.sdk.api.nlp.filter - package com.workfusion.vds.sdk.api.nlp.filter
com.workfusion.vds.sdk.api.nlp.model - package com.workfusion.vds.sdk.api.nlp.model
com.workfusion.vds.sdk.api.nlp.normalization - package com.workfusion.vds.sdk.api.nlp.normalization
com.workfusion.vds.sdk.api.nlp.processing - package com.workfusion.vds.sdk.api.nlp.processing
com.workfusion.vds.sdk.api.nlp.statistics - package com.workfusion.vds.sdk.api.nlp.statistics
com.workfusion.vds.sdk.ml.dp.bolton.linear - package com.workfusion.vds.sdk.ml.dp.bolton.linear
com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression - package com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression
com.workfusion.vds.sdk.ml.dp.bolton.linear.parameters - package com.workfusion.vds.sdk.ml.dp.bolton.linear.parameters
com.workfusion.vds.sdk.ml.dp.bolton.linear.svm - package com.workfusion.vds.sdk.ml.dp.bolton.linear.svm
com.workfusion.vds.sdk.ml.generic - package com.workfusion.vds.sdk.ml.generic
com.workfusion.vds.sdk.ml.liblinear - package com.workfusion.vds.sdk.ml.liblinear
com.workfusion.vds.sdk.ml.liblinear.constant - package com.workfusion.vds.sdk.ml.liblinear.constant
com.workfusion.vds.sdk.ml.python - package com.workfusion.vds.sdk.ml.python
com.workfusion.vds.sdk.ml.sklearn.adaboost - package com.workfusion.vds.sdk.ml.sklearn.adaboost
com.workfusion.vds.sdk.ml.sklearn.adaboost.constant - package com.workfusion.vds.sdk.ml.sklearn.adaboost.constant
com.workfusion.vds.sdk.ml.sklearn.adaboost.parameters - package com.workfusion.vds.sdk.ml.sklearn.adaboost.parameters
com.workfusion.vds.sdk.ml.sklearn.bagging - package com.workfusion.vds.sdk.ml.sklearn.bagging
com.workfusion.vds.sdk.ml.sklearn.decisiontree - package com.workfusion.vds.sdk.ml.sklearn.decisiontree
com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters - package com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters
com.workfusion.vds.sdk.ml.sklearn.extratree - package com.workfusion.vds.sdk.ml.sklearn.extratree
com.workfusion.vds.sdk.ml.sklearn.extratree.parameters - package com.workfusion.vds.sdk.ml.sklearn.extratree.parameters
com.workfusion.vds.sdk.ml.sklearn.extratrees - package com.workfusion.vds.sdk.ml.sklearn.extratrees
com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters - package com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters
com.workfusion.vds.sdk.ml.sklearn.gradientboosting - package com.workfusion.vds.sdk.ml.sklearn.gradientboosting
com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters - package com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters
com.workfusion.vds.sdk.ml.sklearn.kneighbors - package com.workfusion.vds.sdk.ml.sklearn.kneighbors
com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters - package com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters
com.workfusion.vds.sdk.ml.sklearn.linearsvc - package com.workfusion.vds.sdk.ml.sklearn.linearsvc
com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant - package com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant
com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters - package com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters
com.workfusion.vds.sdk.ml.sklearn.logisticregression - package com.workfusion.vds.sdk.ml.sklearn.logisticregression
com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants - package com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants
com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters - package com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters
com.workfusion.vds.sdk.ml.sklearn.mnb - package com.workfusion.vds.sdk.ml.sklearn.mnb
com.workfusion.vds.sdk.ml.sklearn.randomforest - package com.workfusion.vds.sdk.ml.sklearn.randomforest
com.workfusion.vds.sdk.ml.sklearn.randomforest.constant - package com.workfusion.vds.sdk.ml.sklearn.randomforest.constant
com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters - package com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters
com.workfusion.vds.sdk.ml.sklearn.sgd - package com.workfusion.vds.sdk.ml.sklearn.sgd
com.workfusion.vds.sdk.ml.sklearn.sgd.parameters - package com.workfusion.vds.sdk.ml.sklearn.sgd.parameters
com.workfusion.vds.sdk.ml.vw - package com.workfusion.vds.sdk.ml.vw
com.workfusion.vds.sdk.model.nlp.generic - package com.workfusion.vds.sdk.model.nlp.generic
com.workfusion.vds.sdk.nlp.component.annotator - package com.workfusion.vds.sdk.nlp.component.annotator
com.workfusion.vds.sdk.nlp.component.annotator.ner - package com.workfusion.vds.sdk.nlp.component.annotator.ner
com.workfusion.vds.sdk.nlp.component.annotator.tokenizer - package com.workfusion.vds.sdk.nlp.component.annotator.tokenizer
com.workfusion.vds.sdk.nlp.component.dictionary - package com.workfusion.vds.sdk.nlp.component.dictionary
com.workfusion.vds.sdk.nlp.component.fe - package com.workfusion.vds.sdk.nlp.component.fe
com.workfusion.vds.sdk.nlp.component.fe.ner - package com.workfusion.vds.sdk.nlp.component.fe.ner
com.workfusion.vds.sdk.nlp.component.filter - package com.workfusion.vds.sdk.nlp.component.filter
com.workfusion.vds.sdk.nlp.component.pipeline - package com.workfusion.vds.sdk.nlp.component.pipeline
com.workfusion.vds.sdk.nlp.component.pipeline.task - package com.workfusion.vds.sdk.nlp.component.pipeline.task
com.workfusion.vds.sdk.nlp.component.processing - package com.workfusion.vds.sdk.nlp.component.processing
com.workfusion.vds.sdk.nlp.component.processing.grouping - package com.workfusion.vds.sdk.nlp.component.processing.grouping
com.workfusion.vds.sdk.nlp.component.processing.normalization - package com.workfusion.vds.sdk.nlp.component.processing.normalization
com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip - package com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip
com.workfusion.vds.sdk.nlp.component.processing.normalization.lookup - package com.workfusion.vds.sdk.nlp.component.processing.normalization.lookup
com.workfusion.vds.sdk.nlp.component.processing.normalization.text - package com.workfusion.vds.sdk.nlp.component.processing.normalization.text
com.workfusion.vds.sdk.nlp.component.statistics - package com.workfusion.vds.sdk.nlp.component.statistics
com.workfusion.vds.sdk.nlp.component.statistics.mapper - package com.workfusion.vds.sdk.nlp.component.statistics.mapper
com.workfusion.vds.sdk.nlp.component.statistics.model - package com.workfusion.vds.sdk.nlp.component.statistics.model
com.workfusion.vds.sdk.nlp.component.statistics.printer - package com.workfusion.vds.sdk.nlp.component.statistics.printer
com.workfusion.vds.sdk.nlp.component.util - package com.workfusion.vds.sdk.nlp.component.util
com.workfusion.vds.sdk.run - package com.workfusion.vds.sdk.run
com.workfusion.vds.sdk.run.config - package com.workfusion.vds.sdk.run.config
com.workfusion.vds.sdk.util - package com.workfusion.vds.sdk.util
compareTo(Feature) - Method in class com.workfusion.vds.sdk.api.nlp.fe.Feature
compareTo(Position) - Method in class com.workfusion.vds.sdk.nlp.component.util.Position
Component - Interface in com.workfusion.vds.sdk.api.hypermodel: Configuration component.
ComponentRegistry - Interface in com.workfusion.vds.sdk.api.hypermodel: Interface to provide access to configuration components from Named annotated methods as an java-objects.
components(String...) - Method in class com.workfusion.vds.sdk.api.hpo.Dimension.Builder: Init objects for built dimension by using component names.
components(Component...) - Method in class com.workfusion.vds.sdk.api.hpo.Dimension.Builder: Init objects for built dimension by using components.
components - Variable in class com.workfusion.vds.sdk.api.hpo.Dimension
CompositeNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization
CompositeNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.CompositeNormalizer
CompositeNormalizer(Normalizer...) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.CompositeNormalizer
ConfigurationContext - Interface in com.workfusion.vds.sdk.api.hypermodel: Configuration context.
confusionMatrices - Variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModelBase
ConfusionMatrixCSVPrinter - Class in com.workfusion.vds.sdk.nlp.component.statistics.printer: Classification statistics printer implementation.
ConfusionMatrixCSVPrinter() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.printer.ConfusionMatrixCSVPrinter
CONSTANT_TAG_NUMBER_PATTERN - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.IeStatisticsCalculator
Content - Interface in com.workfusion.vds.sdk.api.nlp.model: The Content interface represents a full content of the document.
convertToFlatList(List<FieldInfo>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldInfoUtils: Returns all fields as flat list.
correctCusip(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModel
correctCusip(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrector
COST - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants: Cost of constraints violation.
cost(double) - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Builder
cost(RealMultipliedRange) - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearParamGridClassifier.Builder
COST_ARG - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants
covered(Class<? extends Element>, Class<? extends Element>) - Method in interface com.workfusion.vds.sdk.api.nlp.cache.CacheBuilder: Creates a covered index.
covering(Class<? extends Element>, Class<? extends Element>) - Method in interface com.workfusion.vds.sdk.api.nlp.cache.CacheBuilder: Creates a covering index.
createClassificationDocument(String, String) - Static method in class com.workfusion.vds.sdk.nlp.component.util.DocumentFactory: Creates classification document.
createDefaultClassifierBridge() - Method in class com.workfusion.automl.ml.fe.GenericPythonFE.Builder
createDefaultClassifierBridge() - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder: Create default python features extractor bridge.
createDefaultClassifierBridge() - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier.Builder: Create default python classifier bridge.
createElement(Document, BaseNerAnnotator.ElementDTO, String) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator
createElement(Document, BaseNerAnnotator.ElementDTO, String, Double) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator
createIeDocument(String, String) - Static method in class com.workfusion.vds.sdk.nlp.component.util.DocumentFactory: Creates ie document with content and text.
createIeDocument(String, String, List<FieldInfo>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.DocumentFactory: Creates ie document with provided Field info.
createMappingResult(List<E>, List<E>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseFieldResultMapper
createMappingResult(List<E>, List<E>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseResultMapper: Generate an instance of BaseResultMapper.MappingResult to represent a result of mapping between golds and extracts.
createMappingResult(List<StatisticsLabel>, List<StatisticsLabel>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.LabelResultMapper
createTask(TaskDescriptor<T>, Map<String, Object>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.TestingUtils: Create task instance, fill all variables annotated as Parameter and invoke method annotated as OnInit.
createTask(TaskDescriptor<T>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.TestingUtils: The same as {#createTask(TaskDescriptor, Object...) but to pass parameters from descriptor to OnInit method.
criterion(CriterionType) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the function to measure the quality of a split.
criterion(CriterionType) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets the function to measure the quality of a split.
criterion(CriterionType) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets the function to measure the quality of a split.
criterion(CriterionType) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the function to measure the quality of a split.
criterion(CriterionType) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the function to measure the quality of a split.
CriterionType - Enum in com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters: The enum Criterion type.
CriterionType - Enum in com.workfusion.vds.sdk.ml.sklearn.extratree.parameters: The enum Criterion type.
CriterionType - Enum in com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters: The enum Criterion type.
CriterionType - Enum in com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters: The enum Criterion type.
CriterionType - Enum in com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters: The enum Criterion type.
csvColumnsToCollect - Variable in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider
csvColumnsToModify - Variable in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider
CsvDictionaryKeywordProvider - Class in com.workfusion.vds.sdk.nlp.component.dictionary: DictionaryProvider implementation that read dictionary from CSV files and aggregate it in common keyword collection.
CsvDictionaryKeywordProvider(Resource) - Constructor for class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider
CsvDictionaryProvider - Class in com.workfusion.vds.sdk.nlp.component.dictionary
CsvDictionaryProvider(File) - Constructor for class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryProvider
csvFileFormat - Variable in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider
csvToHtml(Path, Path, String) - Static method in class com.workfusion.vds.sdk.nlp.component.util.TrainingSetUtils: Converts input csv file (usually snapshot form BP/HT) to separate html files, to be used as training set for IE model.
csvToMatchingJsons(Path, Collection<String>, Collection<String>, String, Path) - Static method in class com.workfusion.vds.sdk.nlp.component.util.TrainingSetUtils: Converts input csv file to separate json files with selected columns as attributes of two objects, to be used as training set for matching model.
csvToTxt(Path, Path, String...) - Static method in class com.workfusion.vds.sdk.nlp.component.util.TrainingSetUtils: Converts input csv file (usually snapshot form BP/HT) to separate txt files with selected columns, to be used as training set for classification model.
CurrencyRemoveNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization: This class provides currency symbols and codes removal if presented.
CurrencyRemoveNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.CurrencyRemoveNormalizer
CusipChar2V(char, int) - Static method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionUtils
CusipCheckDigit(String) - Static method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionUtils
CusipCheckLastChar(char, int) - Static method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionUtils
CusipCorrectionModel - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip
CusipCorrectionModel() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModel
CusipCorrectionModelBase - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip
CusipCorrectionModelBase() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModelBase
CusipCorrectionUtils - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip
CusipCorrectionUtils() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionUtils
CusipCorrector - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip
CusipCorrector() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrector
cvFolds(int) - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Builder: Not supported in current version.
cvFolds(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets the number of used folds.

D

DatasetFormatType - Enum in com.workfusion.vds.sdk.api.ml.dataset: The enum of supported data set(test/training) formats.
DataValueNormalizationProcessor - Class in com.workfusion.vds.sdk.nlp.component.processing: The DataValueNormalizationProcessor could be applied for normalizing data value.
DataValueNormalizationProcessor() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.DataValueNormalizationProcessor
DateFormatNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization: This normalizer is intended for date format normalization.
DateFormatNormalizer.Builder - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization
DateFormatPriority - Enum in com.workfusion.vds.sdk.nlp.component.processing.normalization: This enumeration is needed to detect the order of day and month entries in string date.
DateNormalizationPostProcessor - Class in com.workfusion.vds.sdk.nlp.component.processing: The DateNormalizationPostProcessor uses to format dates according to pattern.
DateNormalizationPostProcessor(String) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.DateNormalizationPostProcessor
DateNormalizationPostProcessor(String, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.DateNormalizationPostProcessor
dateNormalizer - Variable in class com.workfusion.vds.sdk.nlp.component.processing.DateNormalizationPostProcessor
decayLearningRate(Double) - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
DecimalNumberFormatNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization: The DecimalNumberFormatNormalizer class provides decimal number formatting based on format pattern and locale.
DecimalNumberFormatNormalizer(Resource) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.DecimalNumberFormatNormalizer
DecimalNumberFormatNormalizer(Resource, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.DecimalNumberFormatNormalizer
DecisionTreeClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.decisiontree: The type Decision tree classifier.
DecisionTreeClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.decisiontree: The type Builder.
DecisionTreeClassifierSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.decisiontree: The type Decision tree classifier serializer.
DecisionTreeClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifierSerializer
deleteCache() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
DependsOn - Annotation Type in com.workfusion.vds.sdk.api.nlp.annotation: Define a list of required element types that need to be defined in document before ML-SDK element usage.
depsResources - Variable in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder: The list of python dependencies paths in resources directory to unpack on initialization stage.
depsResources(List<String>) - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder: Set paths to python dependencies in resources.
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.Cell
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.EntityBoundary
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.Field
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.GoldField
Descriptor() - Constructor for class com.workfusion.vds.sdk.api.nlp.model.GoldField.Descriptor
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.GoldLabel
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.Label
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.LayoutBlock
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.Line
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.MatchingElement
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.NamedEntity
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.Page
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.Row
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.Sentence
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.Table
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.Tag
descriptor() - Static method in interface com.workfusion.vds.sdk.api.nlp.model.Token
dictionary - Variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.lookup.DictionaryLookup
DictionaryBasedNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: Text normalizer based on provided dictionary.
DictionaryBasedNormalizer(Resource) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.DictionaryBasedNormalizer
DictionaryBasedNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.DictionaryBasedNormalizer
dictionaryKeyToValue - Variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.DictionaryBasedNormalizer
DictionaryLookup<T> - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.lookup
DictionaryLookup(DictionaryProvider<T>) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.lookup.DictionaryLookup
DictionaryLookup(DictionaryProvider<T>, StringSimilarity, double) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.lookup.DictionaryLookup
dictionaryProvider - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.ner.AhoCorasickDictionaryNerAnnotator
DictionaryProvider<T> - Interface in com.workfusion.vds.sdk.nlp.component.dictionary: Provide a collection that contains dictionary data and can be used in components.
DictionaryReplacementNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization: The normalizer provides dictionary based text correction.
DictionaryReplacementNormalizer(Resource) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.DictionaryReplacementNormalizer
dictionaryResource - Variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.DictionaryBasedNormalizer
Dimension - Class in com.workfusion.vds.sdk.api.hpo: Dimension will be used by HPO to define selection settings for components in configuration.
Dimension(Dimension.Builder) - Constructor for class com.workfusion.vds.sdk.api.hpo.Dimension
Dimension.Builder - Class in com.workfusion.vds.sdk.api.hpo: Builder class to produce different types of hpo dimension.
Dimension.Type - Enum in com.workfusion.vds.sdk.api.hpo: Supported dimension types.
Dimensions - Class in com.workfusion.vds.sdk.api.hpo: Utility class to produce different types of hpo dimension.
Dimensions() - Constructor for class com.workfusion.vds.sdk.api.hpo.Dimensions
disable(StatisticsEvaluationType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.IeStatisticsCalculator: Disable mode of statistic evaluation.
distanceMetric(DistanceMetricType) - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier.Builder: Sets the distance metric to use for the tree.
DistanceMetricType - Enum in com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters: The enum Distance metric to use for the tree.
Document - Interface in com.workfusion.vds.sdk.api.nlp.model: The Document interface represents text document.
documentComplete() - Method in class com.workfusion.vds.sdk.nlp.component.fe.FocusElementKeywordsFE
DocumentFactory - Class in com.workfusion.vds.sdk.nlp.component.util: Document factory for creating Document.
DocumentFactory() - Constructor for class com.workfusion.vds.sdk.nlp.component.util.DocumentFactory
DocumentGoldData - Class in com.workfusion.vds.sdk.nlp.component.pipeline.task: DTO to aggregate gold data for document.
DocumentGoldData(List<GoldData>) - Constructor for class com.workfusion.vds.sdk.nlp.component.pipeline.task.DocumentGoldData
documentId(String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ClassificationDocumentResult.Builder: Add document id
documentId(String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.IeDocumentResult.Builder: Add document id
DocumentResult - Interface in com.workfusion.vds.sdk.api.nlp.statistics: The DocumentResult interface represents object that was created by StatisticsCalculator and contains statistics results for one Document.
documentStart(Document, Class<FOCUS>) - Method in class com.workfusion.vds.sdk.nlp.component.fe.FocusElementKeywordsFE
dpEpsilon(double) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets the DP epsilon.
DpLogisticRegressionClassifier - Class in com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression: The type Bolton Differential Privacy Logistic Regression classifier.
DpLogisticRegressionClassifier.Builder - Class in com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression: The type Builder.
DpLogisticRegressionClassifierSerializer - Class in com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression: The type Bolton DP Logistic Regression classifier serializer.
DpLogisticRegressionClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression.DpLogisticRegressionClassifierSerializer
DpSvmClassifier - Class in com.workfusion.vds.sdk.ml.dp.bolton.linear.svm: The type Bolton Differential Privacy SVM classifier.
DpSvmClassifier.Builder - Class in com.workfusion.vds.sdk.ml.dp.bolton.linear.svm: The type Builder.
DpSvmClassifierSerializer - Class in com.workfusion.vds.sdk.ml.dp.bolton.linear.svm: The type Bolton DP SVM classifier serializer.
DpSvmClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.dp.bolton.linear.svm.DpSvmClassifierSerializer
dual(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets the algorithm to either solve the dual or primal optimization problem.
dual(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets the algorithm to either solve the dual or primal optimization problem.
dual(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets the algorithm to either solve the dual or primal optimization problem.

E

Element - Interface in com.workfusion.vds.sdk.api.nlp.model: The Element interface represents object that could be stored in document.
Element.ElementDescriptor<T extends Element,D extends Element.ElementDescriptor<T,D>> - Class in com.workfusion.vds.sdk.api.nlp.model: The ElementDescriptor represents description of an element.
ElementDescriptor() - Constructor for class com.workfusion.vds.sdk.api.nlp.model.Element.ElementDescriptor
ElementDTO(String, int, int) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator.ElementDTO
ElementDTO(int, int) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator.ElementDTO
ElementExtractorUtil - Class in com.workfusion.vds.sdk.nlp.component.util
ElementFilter<S extends Element,F extends Element> - Interface in com.workfusion.vds.sdk.api.nlp.filter: The interface for Element Filter.
ElementResult<T extends StatisticsElement> - Class in com.workfusion.vds.sdk.nlp.component.statistics.model: This class represents result of one mapping between extracted and gold element of the document.
ElementResult(ElementResult.Builder<T, E, D>) - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult
ElementResult.Builder<T extends StatisticsElement,E extends ElementResult<T>,D extends ElementResult.Builder<T,E,D>> - Class in com.workfusion.vds.sdk.nlp.component.statistics.model
EMPTY_FIELD - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField
EMPTY_FIELD - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField
EMPTY_LABEL - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsLabel
enable(StatisticsEvaluationType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.IeStatisticsCalculator: Enable mode of statistic evaluation.
end(int) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField.Builder: Set field end position.
endpoint(String) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Endpoint of autoMl service.
EntityBoundary - Interface in com.workfusion.vds.sdk.api.nlp.model: The EntityBoundary represents some portions of of XML/HTML text, for example, paragraph, headers, cells and some others inside Document.
EntityBoundary.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
EntityBoundaryAnnotator - Class in com.workfusion.vds.sdk.nlp.component.annotator: Annotator to create EntityBoundary elements in document.
EntityBoundaryAnnotator() - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.EntityBoundaryAnnotator
epsilon(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets epsilon in the epsilon-insensitive loss functions.
equals(Object) - Method in class com.workfusion.vds.sdk.api.ml.Prediction
equals(Object) - Method in class com.workfusion.vds.sdk.api.ml.PredictionResult
equals(Object) - Method in class com.workfusion.vds.sdk.api.nlp.fe.Feature
equals(Object) - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
equals(Object) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult
equals(Object) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.FieldResult
equals(Object) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.GroupFieldResult
equals(Object) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.LabelResult
equals(Object) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField
equals(Object) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField
equals(Object) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsLabel
equals(Object) - Method in class com.workfusion.vds.sdk.nlp.component.util.Position
escape(String) - Static method in class com.workfusion.vds.sdk.nlp.component.util.HtmlCharacterUtils
estimators(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier.Builder: Sets the number of estimators in the forest.
estimators(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets the number of estimators in the ensemble.
estimators(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Set the number of estimators(trees) in the forest.
estimators(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the number of boosting stages to perform.
estimators(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the number of estimators(trees) in the forest.
estimatorsRange(DiscreteMultipliedRange) - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostParamGridClassifier.Builder
estimatorsRange(DiscreteMultipliedRange) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestParamGridClassifier.Builder
eta0(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets the initial learning rate.
evaluationType - Variable in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseFieldResultMapper
evaluationType(StatisticsEvaluationType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.FieldResult.Builder: Set statistic evaluation type to define a strategy of mapping.
evaluationType(StatisticsEvaluationType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.GroupFieldResult.Builder: Set statistic evaluation type to define a strategy of mapping.
extract(Document, F) - Method in class com.workfusion.automl.ml.fe.GenericPythonFE
extract(Document) - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor: Extract features.
extract(Document, T) - Method in interface com.workfusion.vds.sdk.api.nlp.fe.FeatureExtractor: Analyze giving document structure and extract feature for specified element.
extract(Document, FOCUS) - Method in class com.workfusion.vds.sdk.nlp.component.fe.FocusElementKeywordsFE
extract(Document, FOCUS) - Method in class com.workfusion.vds.sdk.nlp.component.fe.FocusElementKeywordsFrequencyFE
extract(Document, FOCUS) - Method in class com.workfusion.vds.sdk.nlp.component.fe.LowerCaseWordshapeFE: Analyzes giving document structure and extracts features for specified element.
extract(Document, F) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.AreFollowingTokensCapitalizedBeforeNerFE
extract(Document, FOCUS) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.BaseNerInFocusElementFE
extract(Document, FOCUS) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFocusElementExactSameToNerFE
extract(Document, FOCUS) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFocusElementWithNerFE
extract(Document, FOCUS) - Method in class com.workfusion.vds.sdk.nlp.component.fe.PositionInCoveringFE
extract(Document, FOCUS) - Method in class com.workfusion.vds.sdk.nlp.component.fe.PreviousElementSameLineKeywordsMatchFE
extract(Document, T) - Method in class com.workfusion.vds.sdk.nlp.component.fe.SimilarityToKeywordsFE
extracted - Variable in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult.Builder
extracted(T) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult.Builder: Add extracted element DTO.
ExtraTreeClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.extratree: The type Extra tree classifier.
ExtraTreeClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.extratree: The type Builder.
ExtraTreeClassifierSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.extratree: The type Extra tree classifier serializer.
ExtraTreeClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifierSerializer
ExtraTreesClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.extratrees: The type Random forest classifier.
ExtraTreesClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.extratrees: The type Builder.
ExtraTreesClassifierSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.extratrees: The type Random forest classifier serializer.
ExtraTreesClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifierSerializer

F

f1(double) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ModelEvaluationResult.Builder: Set f1.
F1 - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter
FEARTURE_NAME - Static variable in class com.workfusion.vds.sdk.nlp.component.fe.FocusElementKeywordsFrequencyFE
Feature - Class in com.workfusion.vds.sdk.api.nlp.fe: The Feature class represents the NLP component that was converted from raw or annotated text.
Feature(String, double) - Constructor for class com.workfusion.vds.sdk.api.nlp.fe.Feature
FEATURE_NAME - Static variable in class com.workfusion.vds.sdk.nlp.component.fe.FocusElementKeywordsFE
FEATURE_NAME - Static variable in class com.workfusion.vds.sdk.nlp.component.fe.LowerCaseWordshapeFE
FEATURE_NAME - Static variable in class com.workfusion.vds.sdk.nlp.component.fe.ner.AreFollowingTokensCapitalizedBeforeNerFE
FEATURE_NAME - Static variable in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFirstNerInFocusElementFE
FEATURE_NAME - Static variable in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFocusElementExactSameToNerFE
FEATURE_NAME - Static variable in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFocusElementWithNerFE
FEATURE_NAME - Static variable in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsLastNerInFocusElementFE
FEATURE_NAME - Static variable in class com.workfusion.vds.sdk.nlp.component.fe.PositionInCoveringFE
FEATURE_NAME - Static variable in class com.workfusion.vds.sdk.nlp.component.fe.PreviousElementSameLineKeywordsMatchFE
FEATURE_NAME - Static variable in class com.workfusion.vds.sdk.nlp.component.fe.SimilarityToKeywordsFE
FeatureExtractor<T extends Element> - Interface in com.workfusion.vds.sdk.api.nlp.fe: The FeatureExtractor interface represents the component that performs feature extraction.
FeatureName - Annotation Type in com.workfusion.vds.sdk.api.nlp.fe.annotation: Annotation to define feature name.
features(List<Feature>) - Method in class com.workfusion.vds.sdk.api.ml.dataset.Record.Builder: Sets features.
Field - Interface in com.workfusion.vds.sdk.api.nlp.model: The Field interface represents the field that was extracted during Information Extraction.
Field.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
fieldEquals(StatisticsField, StatisticsField) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseFieldResultMapper: Return 'true' if two StatisticsField are equal in terms of current {BaseFieldResultMapper.evaluationType statistic strategy.
FieldInfoUtils - Class in com.workfusion.vds.sdk.nlp.component.util: Utility class for converting and information extraction from FieldInfo.
fieldName - Variable in class com.workfusion.vds.sdk.nlp.component.processing.DateNormalizationPostProcessor
FieldResult - Class in com.workfusion.vds.sdk.nlp.component.statistics.model: This class represents result of mapping between Field and GoldField elements in document.
FieldResult.Builder - Class in com.workfusion.vds.sdk.nlp.component.statistics.model
FieldResultMapper - Class in com.workfusion.vds.sdk.nlp.component.statistics.mapper: Class to map field DTO's StatisticsField representation over gold and extracted fields for one field for one document to create required instance of FieldResult.
FieldResultMapper(StatisticsEvaluationType) - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.mapper.FieldResultMapper
FIELDS - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration
fields(Map<String, StatisticsField>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField.Builder: Add children fields.
fields - Variable in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder
fields(List<FieldInfo>) - Method in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder: Fields configuration for IE use-case.
fields - Variable in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration
fields(List<FieldInfo>) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Fields configuration for IE use-case.
fields(List<FieldInfo>) - Method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration.Builder: Fields configuration for statistics calculation during local model execution.
fields(List<FieldInfo>) - Method in class com.workfusion.vds.sdk.run.config.LocalTrainingConfiguration.Builder: Fields configuration for IE use-case.
FieldUtils - Class in com.workfusion.vds.sdk.nlp.component.util
filePerField - Variable in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIeGoldVsExtractedPrinter
filePerField(boolean) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIeGoldVsExtractedPrinter: Configure printing into one file per field or one file for all fields.
Filter - Annotation Type in com.workfusion.vds.sdk.api.hypermodel.annotation: Inner annotation that uses in Import.
filter(Document, S) - Method in interface com.workfusion.vds.sdk.api.nlp.filter.ElementFilter: Returns filtered focus elements covered by search element in document.
filter(Document, S) - Method in class com.workfusion.vds.sdk.nlp.component.filter.AutoMlKeepAllNegativeExamplesFilter
filter(Document, S) - Method in class com.workfusion.vds.sdk.nlp.component.filter.IgnorePageWithoutGoldsFilter
filter(Document, S) - Method in class com.workfusion.vds.sdk.nlp.component.filter.IgnorePageWithoutGoldsInGoldDocumentsFilter
filter(Document, S) - Method in class com.workfusion.vds.sdk.nlp.component.filter.IgnoreSameDocumentFilter
filter(Document, S) - Method in class com.workfusion.vds.sdk.nlp.component.filter.SkipEqualToGoldValuesFilter
filter(Document, S) - Method in class com.workfusion.vds.sdk.nlp.component.filter.UseElementsOnlyAroundGoldAndNerFilter
filterAndGroupFields(Collection<FieldInfo>, int, String[]) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldInfoUtils: Group answer based on max field per-group and parent-child relationship (child must be in group n+1 or later).
find(String, Function<T, String>) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.lookup.DictionaryLookup
FIND_C - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants: Find parameter cost (-c).
FIND_C_ARG - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants
findAll() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Finds all element in the document.
findAll(Class<T>) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Finds elements by its type.
findAll(String, Function<T, String>) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.lookup.DictionaryLookup
findAllCovered(Class<? extends T>, Class<? extends S>) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: This method returns a map with all relations between covering element and collection of covered elements specified by type.
findAllCovering(Class<? extends T>, Class<? extends S>) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: This method returns a map with all relations between covered element and collection of covering elements specified by type.
findAllFocusElements(Document, Class<F>, S) - Static method in class com.workfusion.vds.sdk.nlp.component.util.ElementExtractorUtil: Find elements covered or covering by the specified element or element itself if focusClass is searchClass
findC() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Builder: Not supported in current version.
findCovered(Class<T>, Element) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Get a list of elements of the given element type overlapped by a 'covering' element.
findCovered(Class<T>, int, int) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Get a list of elements of the given element type which are completely located within the given interval.
findCovering(Class<T>, Element) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Get a list of elements of the given element type that 'cover' a certain element.
findCovering(Class<T>, int, int) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Get a list of elements of the given element type that a completely overlap the given interval.
findEntities(String) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator
findField(String) - Method in interface com.workfusion.vds.sdk.api.nlp.model.IeDocument: Find field by its name.
findFieldByCode(Collection<FieldInfo>, String) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldInfoUtils: Find FieldInfo with corresponding code recursively in all subfields
findFields() - Method in interface com.workfusion.vds.sdk.api.nlp.model.IeDocument: Find all fields in the document.
findFields(String) - Method in interface com.workfusion.vds.sdk.api.nlp.model.IeDocument: Find fields by its name.
findFirst(String, Function<T, String>) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.lookup.DictionaryLookup
findGroups(IeDocument, Set<String>) - Method in class com.workfusion.vds.sdk.nlp.component.processing.grouping.BaseGroupingProcessor: Finds groups in document.
findGroups(IeDocument, Set<String>) - Method in class com.workfusion.vds.sdk.nlp.component.processing.grouping.PositionBasedGroupingProcessor: Finds groups of fields from document according their position.
findGroups(IeDocument, Set<String>) - Method in class com.workfusion.vds.sdk.nlp.component.processing.grouping.RowBasedGroupingProcessor: Finds fields in table rows and set group numbers.
findIdioms(String, LocalDate) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToDateNormalizer
findLabel(String) - Method in interface com.workfusion.vds.sdk.api.nlp.model.ClassificationDocument: Find label by its name.
findLabels() - Method in interface com.workfusion.vds.sdk.api.nlp.model.ClassificationDocument: Find all labels in the document.
findNERs(Document) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.AhoCorasickDictionaryNerAnnotator
findNERs(Document) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator
findNERs(Document) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator
findNext(Class<T>, Element, int) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Returns the n elements next to the given element.
findPrevious(Class<T>, Element, int) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Returns the n elements previous to the given element.
firstDayOfMonth(boolean) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatNormalizer.Builder
fit(Path, DatasetFormatType) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier: Fit the classifier.
fit(Path, DatasetFormatType) - Method in interface com.workfusion.vds.sdk.ml.python.PythonClassifier
fitIntercept(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets whether to calculate the intercept for this model.
fitIntercept(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets whether to calculate the intercept for this model.
fitIntercept(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets whether to calculate the intercept for this model.
fitIntercept(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets whether to calculate the intercept for this model.
fitPriority(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifier.Builder: Sets whether fit priorities or not
fixOCRErrors(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrAmountNormalizer
FN - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter
FocusElementKeywordsFE<SEARCH extends Element,FOCUS extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe: Produce a feature if search element that covered(or covering) current focus element contains at least one of the keywords.
FocusElementKeywordsFE(Collection<String>, Class<SEARCH>, boolean) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.FocusElementKeywordsFE
FocusElementKeywordsFrequencyFE<SEARCH extends Element,FOCUS extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe: Finds count of keywords inside search element that covered(or covering) current focus element.
FocusElementKeywordsFrequencyFE(Collection<String>, Class<SEARCH>, boolean) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.FocusElementKeywordsFrequencyFE
formatPattern(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatNormalizer.Builder
formatResource(Resource) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatNormalizer.Builder
FP - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter
ftrl() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder

G

GenericPipelineConfiguration - Class in com.workfusion.vds.sdk.model.nlp.generic: Generic models pipeline configuration constants.
GenericPythonClassifier - Class in com.workfusion.vds.sdk.ml.generic: The generic customizable classifier.
GenericPythonClassifier(GenericPythonClassifier.Builder) - Constructor for class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifier: Instantiates a new Generic classifier (GenericPythonClassifier).
GenericPythonClassifier.Builder - Class in com.workfusion.vds.sdk.ml.generic: The type Builder.
GenericPythonClassifierSerializer - Class in com.workfusion.vds.sdk.ml.generic: The generic classifier serializer.
GenericPythonClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifierSerializer
GenericPythonFE<F extends Element> - Class in com.workfusion.automl.ml.fe: The generic python features extractor.
GenericPythonFE(BasePythonFeaturesExtractor.Builder) - Constructor for class com.workfusion.automl.ml.fe.GenericPythonFE: Creates new PythonFeaturesExtractor instance.
GenericPythonFE.Builder<F extends Element> - Class in com.workfusion.automl.ml.fe: The type Builder.
get(String) - Static method in enum com.workfusion.vds.sdk.ml.dp.bolton.linear.parameters.SampleWeightsType: Convert code to ClassWeightType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.adaboost.parameters.AlgorithmType: Convert code to AlgorithmType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.ClassWeightType: Convert code to ClassWeightType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.CriterionType: Convert code to CriterionType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.MaxFeaturesType: Convert code to MaxFeaturesType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.SplitterType: Convert code to SplitterType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.ClassWeightType: Convert code to ClassWeightType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.CriterionType: Convert code to CriterionType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.MaxFeaturesType: Convert code to MaxFeaturesType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.SplitterType: Convert code to SplitterType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.ClassWeightType: Convert code to ClassWeightType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.CriterionType: Convert code to CriterionType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.MaxFeaturesType: Convert code to MaxFeaturesType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.CriterionType: Convert code to CriterionType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.LossFunctionType: Convert code to LossFunctionType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.MaxFeaturesType: Convert code to MaxFeaturesType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.PresortType: Convert code to PresortType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.AlgorithmType: Convert code to AlgorithmType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.DistanceMetricType: Convert code to DistanceMetricType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.WeightFunctionType: Convert code to WightFunctionType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.ClassWeightType: Convert code to ClassWeightType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.LossFunctionType: Convert code to LossFunctionType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.MultiClassType: Convert code to MultiClassType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.PenaltyType: Convert code to PenaltyType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.ClassWeightType: Convert code to ClassWeightType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.MultiClassType: Convert code to MultiClassType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.PenaltyType: Convert code to PenaltyType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.ScoringFunctionType: Convert code to ScoringFunctionType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.SolverType: Convert code to SolverType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.ClassWeightType: Convert code to ClassWeightType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.CriterionType: Convert code to CriterionType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.MaxFeaturesType: Convert code to MaxFeaturesType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.ClassWeightType: Convert code to ClassWeightType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.LearningRateType: Convert code to LearningRateType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.LossFunctionType: Convert code to LossFunctionType instance
get(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.PenaltyType: Convert code to PenaltyType instance
getAccuracy() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ModelEvaluationResult: Get accuracy metric value.
getAlgorithm() - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier: Gets boosting algorithm.
getAlgorithm() - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier: Gets algorithm used to compute the nearest neighbors.
getAllChildren(FieldInfo) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldInfoUtils: Gets all sub-fields from information extraction field info.
getAllChildren(List<FieldInfo>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldInfoUtils: Gets all sub-fields from information extraction field info.
getAllFieldCodes(Collection<FieldInfo>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldInfoUtils: Recursively collect answer codes (current + all children)
getAlpha() - Method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifier
getAlpha() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: GSets the constant that multiplies the regularization term.
getAttributes() - Method in class com.workfusion.vds.sdk.api.nlp.model.Field.Descriptor
getAttributes() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Field: Gets custom field attributes.
getAttributes() - Method in class com.workfusion.vds.sdk.api.nlp.model.GoldField.Descriptor
getAttributes() - Method in interface com.workfusion.vds.sdk.api.nlp.model.GoldField: Gets gold field attributes.
getAttributes() - Method in class com.workfusion.vds.sdk.api.nlp.model.Tag.Descriptor
getAttributes() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Tag: Gets an xml tag attributes.
getAttributes() - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.task.GoldData: Ged gold data tag attributes.
getAttributes() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField: Gets custom field attributes.
getAverage() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets the average weights.
getBatchSize() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Gets the number of samples in one batch.
getBegin() - Method in class com.workfusion.vds.sdk.api.nlp.model.Element.ElementDescriptor
getBegin() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Element: Gets begin index of getText() in the document.
getBegin() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField: Gets begin index of getText() in the document.
getBegin() - Method in class com.workfusion.vds.sdk.nlp.component.util.Position
getBestResult() - Method in class com.workfusion.vds.sdk.api.ml.Prediction: Gets best classification result.
getBias() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
getBottom() - Method in class com.workfusion.vds.sdk.api.nlp.model.LayoutBlock.Descriptor
getBottomPosition() - Method in interface com.workfusion.vds.sdk.api.nlp.model.LayoutBlock: Get bottom position.
getClassPriority() - Method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifier
getClassWeight() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Gets class weight.
getClassWeight() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Gets class weight.
getClassWeight() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets class weight.
getClassWeight() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Gets class weight.
getClassWeight() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Gets class weight.
getClassWeight() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets class weight.
getClassWeight() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets class weight.
getClassWeight() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets class weight.
getClassWeights() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
getCode() - Method in enum com.workfusion.vds.sdk.ml.dp.bolton.linear.parameters.SampleWeightsType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.adaboost.parameters.AlgorithmType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.ClassWeightType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.CriterionType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.MaxFeaturesType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.SplitterType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.ClassWeightType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.CriterionType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.MaxFeaturesType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.SplitterType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.ClassWeightType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.CriterionType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.MaxFeaturesType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.CriterionType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.LossFunctionType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.MaxFeaturesType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.PresortType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.AlgorithmType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.DistanceMetricType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.WeightFunctionType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.ClassWeightType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.LossFunctionType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.MultiClassType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.PenaltyType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.ClassWeightType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.MultiClassType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.PenaltyType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.ScoringFunctionType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.SolverType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.ClassWeightType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.CriterionType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.MaxFeaturesType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.ClassWeightType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.LearningRateType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.LossFunctionType: Gets code.
getCode() - Method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.PenaltyType: Gets code.
getColumnIndex() - Method in class com.workfusion.vds.sdk.api.nlp.model.Cell.Descriptor
getColumnIndex() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Cell: Gets column index of the cell.
getComponent(String) - Method in interface com.workfusion.vds.sdk.api.hypermodel.ComponentRegistry: Get a single component based on unique component id.
getComponents() - Method in class com.workfusion.vds.sdk.api.hpo.Dimension: Get dimension data.
getComponents(Class<?>) - Method in interface com.workfusion.vds.sdk.api.hypermodel.ComponentRegistry: Get a collection of components annotated with Named annotation based on return type.
getConfusionMatrices() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModelBase
getContent() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Gets original content of the document.
getCost() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
getCriterion() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Gets criterion.
getCriterion() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Gets criterion.
getCriterion() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets criterion.
getCriterion() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets criterion.
getCriterion() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets criterion.
getCvFolds() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
getCvFolds() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets the number of used folds.
getDecayLearningRate() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier
getDefinedEvaluationTypes(Collection<IeDocumentResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter: Returns a set of StatisticsEvaluationType defined for IeStatisticsCalculator.
getDefinedEvaluationTypes(Collection<IeDocumentResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerFieldCSVPrinter
getDefinedEvaluationTypes(Collection<IeDocumentResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerGroupFieldCSVPrinter
getDictionary() - Method in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider
getDictionary() - Method in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryProvider
getDictionary() - Method in interface com.workfusion.vds.sdk.nlp.component.dictionary.DictionaryProvider
getDictionary() - Method in class com.workfusion.vds.sdk.nlp.component.dictionary.MultiDictionaryDataProvider
getDictionary() - Method in class com.workfusion.vds.sdk.nlp.component.dictionary.StringDictionaryProvider
getDimensions() - Method in class com.workfusion.vds.sdk.api.hpo.ParameterSpace: Get configured dimensions.
getDistanceMetric() - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier: Gets the distance metric to use for the tree.
getDocument() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Element: The Document associated with the element.
getDocumentId() - Method in interface com.workfusion.vds.sdk.api.nlp.statistics.DocumentResult: Gets unique identifier of the document.
getDocumentId() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ClassificationDocumentResult
getDocumentId() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.IeDocumentResult
getDocumentName(DocumentResult) - Static method in class com.workfusion.vds.sdk.nlp.component.util.PrinterUtils: Returns document name for DocumentResult.
getDpEpsilon() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Gets the value that controls the strength of the privacy guarantees.
getEnd() - Method in class com.workfusion.vds.sdk.api.nlp.model.Element.ElementDescriptor
getEnd() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Element: Gets end index of getText() in the document.
getEnd() - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator.ElementDTO
getEnd() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField: Gets end index of getText() in the document.
getEnd() - Method in class com.workfusion.vds.sdk.nlp.component.util.Position
getEndpoint() - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration: Gets auto ml service endpoint.
getEpsilon() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets epsilon in the epsilon-insensitive loss functions.
getEstimators() - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier: Gets the number of estimators(trees) in the forest.
getEstimators() - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier: Gets the number of estimators in the ensemble.
getEstimators() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets the number of estimators(trees) in the forest.
getEstimators() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets the number of boosting stages.
getEstimators() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets the number of estimators(trees) in the forest.
getEta0() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets the initial learning rate for the LearningRateType.CONSTANT or LearningRateType.INVSCALING schedules.
getEvaluationType() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.FieldResult: Get evaluationType to define a strategy of mapping.
getEvaluationType() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.GroupFieldResult: Get evaluationType to define a strategy of mapping.
getEvaluationTypes(Collection<IeDocumentResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIeGoldVsExtractedPrinter: Returns a set of StatisticsEvaluationType defined for IeStatisticsCalculator.
getEvaluationTypes(Collection<IeDocumentResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedCSVPrinter
getEvaluationTypes(Collection<IeDocumentResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedPerGroupCSVPrinter
getExtracted() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseResultMapper.MappingResult: Get extracted that not mapped to any gold.
getExtracted() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult: Get extracted element DTO.
getExtractedWithContext(String, int, int, int) - Static method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionUtils
getF1() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ModelEvaluationResult: Get f1 score metric value.
getFeatures() - Method in class com.workfusion.vds.sdk.api.ml.dataset.Record: Gets record features.
getField() - Method in interface com.workfusion.vds.sdk.api.nlp.configuration.IeConfigurationContext: Gets field info associated with the current sub-model configuration.
getFieldEvaluationTypes(Collection<IeDocumentResult>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.PrinterUtils: Returns a set of StatisticsEvaluationType defined for each FieldResult in IeDocumentResult.
getFieldInfo(String) - Method in interface com.workfusion.vds.sdk.api.nlp.model.IeDocument: Get field info by its code.
getFieldNames(Collection<IeDocumentResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter: Returns a set of field names.
getFieldNames(Collection<IeDocumentResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerFieldCSVPrinter
getFieldNames(Collection<IeDocumentResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerGroupFieldCSVPrinter
getFieldNames(Collection<IeDocumentResult>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.PrinterUtils: Returns a set of field names.
getFieldResult(StatisticsField, StatisticsEvaluationType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIeGoldVsExtractedPrinter: Returns StatisticsField value/text/position depending on StatisticsEvaluationType.
getFields() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField: Get inner StatisticsField DTO represented as map, where key is a name of field DTO.
getFields() - Method in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration: Gets list of FieldInfo representing IE configuration.
getFields() - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration: Gets fields configuration for IE models.
getFields() - Method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration: Gets configured fields for local run.
getFields() - Method in class com.workfusion.vds.sdk.run.config.LocalTrainingConfiguration: Gets list of FieldInfo representing IE configuration.
getFieldScore(StatisticsField, StatisticsField) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseFieldResultMapper: Get similarity score between two StatisticsField based on BaseFieldResultMapper.evaluationType.
getFieldsInfo() - Method in interface com.workfusion.vds.sdk.api.nlp.model.IeDocument: Gets all fields info.
getFileName() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter: Returns file name to use for statistics printing.
getFileName() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationGoldVsExtractedCSVPrinter: Returns file name to use for statistics printing.
getFileName() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationPerLabelCSVPrinter: Returns file name to use for statistics printing.
getFileName() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ConfusionMatrixCSVPrinter
getFileName() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedCSVPrinter: Returns file name to use for statistics printing.
getFileName() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedPerGroupCSVPrinter: Returns file name to use for statistics printing.
getFileName() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerFieldCSVPrinter
getFileName() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerGroupFieldCSVPrinter: Returns file name to use for statistics printing.
getGold() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult: Get gold element DTO.
getGoldData() - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.task.DocumentGoldData
getGolds() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseResultMapper.MappingResult: Get golds that not mapped to any extract.
getGroupFieldEvaluationTypes(Collection<IeDocumentResult>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.PrinterUtils: Returns a set of StatisticsEvaluationType defined for each GroupFieldResult in IeDocumentResult.
getGroupFieldNames(Collection<IeDocumentResult>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.PrinterUtils: Returns a set of group field names.
getGroupFields(Collection<FieldInfo>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldInfoUtils: Gets all sub-fields inside group field from information extraction field info.
getGroupResults() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.IeDocumentResult: Get group field mapping results
getHeader() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter: Returns header record for CSV printer.
getHeader() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationGoldVsExtractedCSVPrinter: Returns header record for CSV printer.
getHeader() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationPerLabelCSVPrinter: Returns header record for CSV printer.
getHeader(Set<String>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ConfusionMatrixCSVPrinter: Returns header record for CSV printer.
getHeader() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedCSVPrinter: Returns header record for CSV printer.
getHeader() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedPerGroupCSVPrinter: Returns header record for CSV printer.
getHeader() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerFieldCSVPrinter
getHeader() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerGroupFieldCSVPrinter
getId() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Gets unique identifier of the document.
getId() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Element: Gets unique identifier of the element.
getId() - Method in enum com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Solver
getId() - Method in class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration: Gets identifier for the training.
getInputDir() - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext: Return an input directory that contains a training set.
getInputDir() - Method in class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration: Gets path to input directory.
getInterceptScaling() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Gets the scaling coefficient of the synthetic features.
getInterceptScaling() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Gets the scaling coefficient of the synthetic features.
getInterceptScaling() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets the scaling coefficient of the synthetic features.
getJavaPatternRegexNerAnnotator(String, String) - Static method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator: Creates an instance of BaseRegexNerAnnotator that uses java pattern.
getJobs() - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier: Gets the number of jobs to run in parallel for both fit and predict.
getJobs() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets the number of jobs to run in parallel for both fit and predict.
getJobs() - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier: Gets the number of jobs to run in parallel for both fit and predict.
getJobs() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Gets the number of jobs to run in parallel for both fit and predict.
getJobs() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets the number of jobs to run in parallel for both fit and predict.
getJobs() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets the number of jobs to run in parallel for both fit and predict.
getJobs() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets the number of jobs to run in parallel for both fit and predict.
getKeywords() - Method in class com.workfusion.vds.sdk.nlp.component.fe.BaseKeywordsInElementFE
getL1() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier
getL1Ratio() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets the elastic net mixing parameter.
getL2() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier
getLabel() - Method in class com.workfusion.vds.sdk.api.ml.dataset.Record: Gets record category label
getLabel() - Method in class com.workfusion.vds.sdk.api.ml.PredictionResult: Gets label of the category.
getLabel() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsLabel: Get label.
getLabels() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ClassificationDocumentResult: Return classification labels mapping results
getLeafSize() - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier: Gets the leaf size.
getLearningRate() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Gets learning rate.
getLearningRate() - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier: Gets the learning rate.
getLearningRate() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets the learning rate.
getLearningRate() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets learning rate schedule.
getLearningRate() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier
getLeft() - Method in class com.workfusion.vds.sdk.api.nlp.model.LayoutBlock.Descriptor
getLeftContext() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModelBase
getLeftPosition() - Method in interface com.workfusion.vds.sdk.api.nlp.model.LayoutBlock: Get left position.
getLineIndex() - Method in class com.workfusion.vds.sdk.api.nlp.model.Line.Descriptor
getLineIndex() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Line: Gets the number of lines directly preceding the current line in the same block.
getLossEpsilon() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
getLossFunction() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets loss function type (LossFunctionType).
getLossFunction() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Gets the loss function.
getLossFunction() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets the loss function.
getLossFunction() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier
getMargin() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.svm.DpSvmClassifier: Gets value of the point where the Huber loss function changes from a quadratic to linear loss.
getMaxDepth() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Gets the maximum depth of the tree.
getMaxDepth() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Gets the maximum depth of the tree.
getMaxDepth() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets the maximum depth of the tree.
getMaxDepth() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets the maximum depth of the tree.
getMaxDepth() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets the maximum depth of the tree.
getMaxEpochs() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Gets the number of epochs to run for training.
getMaxFeatures() - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier: Gets number of features to consider when looking for the best split.
getMaxFeatures() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Gets number of features to consider when looking for the best split.
getMaxFeatures() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Gets number of features to consider when looking for the best split.
getMaxFeatures() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets number of features to consider when looking for the best split.
getMaxFeatures() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets number of features to consider when looking for the best split.
getMaxFeatures() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets number of features to consider when looking for the best split.
getMaxFeatureSize() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier
getMaxIterations() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Gets the maximum number of iterations to be run.
getMaxIterations() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Gets the maximum number of iterations to be run.
getMaxIterations() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets the maximum number of iterations to be run.
getMaxIterations() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets the maximum number of iterations to be run.
getMaxLeafNodes() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Gets max leaf nodes.
getMaxLeafNodes() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Gets max leaf nodes.
getMaxLeafNodes() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets max leaf nodes.
getMaxLeafNodes() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets max leaf nodes.
getMaxLeafNodes() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets max leaf nodes.
getMaxSamples() - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier: Gets the number/fraction of samples to draw from data set to train each base estimator.
getMentionType() - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator
getMinImpurityDecrease() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Gets min impurity decrease.
getMinImpurityDecrease() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Gets min impurity decrease.
getMinImpurityDecrease() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets min impurity decrease.
getMinImpurityDecrease() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets min impurity decrease.
getMinImpurityDecrease() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets min impurity decrease.
getMinSamplesLeaf() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Gets the minimum number of samples required to be at a leaf node.
getMinSamplesLeaf() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Gets the minimum number of samples required to be at a leaf node.
getMinSamplesLeaf() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets the minimum number of samples required to be at a leaf node.
getMinSamplesLeaf() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets the minimum number of samples required to be at a leaf node.
getMinSamplesLeaf() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets the minimum number of samples required to be at a leaf node.
getMinSamplesSplit() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Gets the minimum number of samples required to split an internal node.
getMinSamplesSplit() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Gets the minimum number of samples required to split an internal node.
getMinSamplesSplit() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets the minimum number of samples required to split an internal node.
getMinSamplesSplit() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets the minimum number of samples required to split an internal node.
getMinSamplesSplit() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets the minimum number of samples required to split an internal node.
getMinWeightFractionLeaf() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Gets the minimum weighted fraction of the sum total of weights (of all the input samples) required to be at a leaf node.
getMinWeightFractionLeaf() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Gets the minimum weighted fraction of the sum total of weights (of all the input samples) required to be at a leaf node.
getMinWeightFractionLeaf() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets the minimum weighted fraction of the sum total of weights (of all the input samples) required to be at a leaf node.
getMinWeightFractionLeaf() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets the minimum weighted fraction of the sum total of weights (of all the input samples) required to be at a leaf node.
getMinWeightFractionLeaf() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets the minimum weighted fraction of the sum total of weights (of all the input samples) required to be at a leaf node.
getModelName() - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor: Gets model name.
getModelName() - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier: Gets model name.
getMomentum() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Gets optimization coefficient.
getMultiClass() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Gets the multi-class strategy if y contains more than two classes.
getMultiClass() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Gets the multi-class strategy if y contains more than two classes.
getMultiClass() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets the multi-class strategy if y contains more than two classes.
getName() - Method in class com.workfusion.vds.sdk.api.hpo.Dimension: Get dimension name.
getName() - Method in class com.workfusion.vds.sdk.api.hpo.ParameterSpace: Get name that is used to define on which pipeline step components need to be applied.
getName() - Method in interface com.workfusion.vds.sdk.api.hypermodel.Component: Get component name.
getName() - Method in class com.workfusion.vds.sdk.api.nlp.fe.Feature: Get feature name.
getName() - Method in class com.workfusion.vds.sdk.api.nlp.model.Field.Descriptor
getName() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Field: Gets unique name of the field in the document.
getName() - Method in class com.workfusion.vds.sdk.api.nlp.model.GoldField.Descriptor
getName() - Method in interface com.workfusion.vds.sdk.api.nlp.model.GoldField: Gets unique name of the gold field in the document.
getName() - Method in class com.workfusion.vds.sdk.api.nlp.model.GoldLabel.Descriptor
getName() - Method in interface com.workfusion.vds.sdk.api.nlp.model.GoldLabel: Gets gold label name.
getName() - Method in class com.workfusion.vds.sdk.api.nlp.model.Label.Descriptor
getName() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Label: Gets label name.
getName() - Method in class com.workfusion.vds.sdk.api.nlp.model.MatchingElement.Descriptor
getName() - Method in interface com.workfusion.vds.sdk.api.nlp.model.MatchingElement
getName() - Method in class com.workfusion.vds.sdk.api.nlp.model.Tag.Descriptor
getName() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Tag: Gets an xml tag name.
getName() - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.task.GoldData: Get filed name of gold data.
getName() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField: Gets unique name of the field in the document.
getName() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField: Get group field name.
getNeighbors() - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier: Gets number of neighbors to use by default for kneighbors queries.
getNonGroupFields(Collection<FieldInfo>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldInfoUtils: Gets all sub-fields expect field with type group from information extraction field info.
getNumberOfExtractedLabelsForResultType(Collection<ClassificationDocumentResult>, ResultType, String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationPerLabelCSVPrinter: Returns total count of specified ResultType for specified extracted label.
getNumberOfFieldForResultType(Collection<IeDocumentResult>, ResultType, StatisticsEvaluationType, String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter: Returns total count of specified ResultType for specified field.
getNumberOfFieldForResultType(Collection<IeDocumentResult>, ResultType, StatisticsEvaluationType, String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerFieldCSVPrinter
getNumberOfFieldForResultType(Collection<IeDocumentResult>, ResultType, StatisticsEvaluationType, String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerGroupFieldCSVPrinter
getNumberOfGoldLabelsForResultType(Collection<ClassificationDocumentResult>, ResultType, String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationPerLabelCSVPrinter: Returns total count of specified ResultType for specified gold label.
getOutputDir() - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext: Return output directory where tasks can store a data that will be available on execute pipeline.
getOutputDir() - Method in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration: Gets output dir.
getOutputDir() - Method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration: Gets output dir.
getOutputDir() - Method in class com.workfusion.vds.sdk.run.config.LocalTrainingConfiguration: Gets output dir.
getPageIndex() - Method in class com.workfusion.vds.sdk.api.nlp.model.Page.Descriptor
getPageIndex() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Page: Gets the page number in the document.
getParameter(String) - Method in interface com.workfusion.vds.sdk.api.hypermodel.ConfigurationContext: Get configuration parameter by name.
getParameter(String, T) - Method in interface com.workfusion.vds.sdk.api.hypermodel.ConfigurationContext: Gets configuration parameter by name, or defaultValue if parameter doesn't exist.
getParameter(String) - Method in class com.workfusion.vds.sdk.api.hypermodel.pipeline.PipelineConfiguration: Returns a parameter defined for the pipeline by name.
getParameter(String, T) - Method in class com.workfusion.vds.sdk.api.hypermodel.pipeline.PipelineConfiguration: Returns a parameter defined for the pipeline by name.
getParameter(String) - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext
getParameter(String, T) - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext
getParameterAsBoolean(String) - Method in interface com.workfusion.vds.sdk.api.hypermodel.ConfigurationContext: Get configuration parameter as Boolean by name.
getParameterAsBoolean(String) - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext
getParameterAsDouble(String) - Method in interface com.workfusion.vds.sdk.api.hypermodel.ConfigurationContext: Get configuration parameter as Double by name.
getParameterAsDouble(String) - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext
getParameterAsInteger(String) - Method in interface com.workfusion.vds.sdk.api.hypermodel.ConfigurationContext: Get configuration parameter as Integer by name.
getParameterAsInteger(String) - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext
getParameterAsLong(String) - Method in interface com.workfusion.vds.sdk.api.hypermodel.ConfigurationContext: Get configuration parameter as Long by name.
getParameterAsLong(String) - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext
getParameterAsString(String) - Method in interface com.workfusion.vds.sdk.api.hypermodel.ConfigurationContext: Get configuration parameter as String by name.
getParameterAsString(String) - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext
getParameterAsType(Map<String, Object>, String, Class<T>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.ParameterUtils: Find parameter value by name and cast it to the required type.
getParameterOrDefault(Map<String, Object>, String, T) - Static method in class com.workfusion.vds.sdk.nlp.component.util.ParameterUtils: Find parameter value in parameters map.
getParameters() - Method in class com.workfusion.vds.sdk.api.hypermodel.pipeline.PipelineConfiguration: Returns all parameters defined for the pipeline.
getParameters() - Method in class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifier: Gets parameters of the model.
getParameters() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier
getParameters() - Method in class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration: Gets map with additional parameters.
getParametersFileName() - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifierSerializer: Gets parameters file name.
getParamGridCombinations() - Method in interface com.workfusion.vds.sdk.api.ml.ParamGridClassifier: Get all grid algorithm param combinations.
getParamGridCombinations() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearParamGridClassifier: Grab all tuning params and convert it to combinations
getParamGridCombinations() - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostParamGridClassifier
getParamGridCombinations() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorParamGridClassifier
getParamGridCombinations() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionParamGridClassifier
getParamGridCombinations() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestParamGridClassifier
getPasses() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier
getPath() - Method in interface com.workfusion.vds.sdk.api.hypermodel.Resource: Returns Path to read data from the resource.
getPathToFile(Path, String, String...) - Static method in class com.workfusion.vds.sdk.nlp.component.util.PrinterUtils: Resolves all subFolders and fileName against the given path, creates subFolders if don't exist, returns Path to file.
getPattern(String) - Static method in class com.workfusion.vds.sdk.nlp.component.annotator.PatternCache
getPattern(String, int) - Static method in class com.workfusion.vds.sdk.nlp.component.annotator.PatternCache
getPenalty() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Gets the norm used in the penalization.
getPenalty() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Gets the norm used in the penalization.
getPenalty() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets the norm used in the penalization.
getPenalty() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets the norm used in the penalization.
getPenaltyCoefficient() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Gets the value for the penalty parameter C of the error term.
getPenaltyCoefficient() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Gets penalty parameter C of the error term.
getPenaltyCoefficient() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Gets penalty coefficient of the error term.
getPenaltyCoefficientsGrid() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets penalty coefficients grid.
getPower() - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier: Gets the power parameter for the Minkowski metric.
getPowerT() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets the exponent for inverse scaling learning rate.
getPrecision() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ModelEvaluationResult: Get precision metric value.
getPresort() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Whether presort is used.
getRadiusConstant() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Gets the value for the radius factor on which to project the weight parameters.
getRe2JPattern(String) - Static method in class com.workfusion.vds.sdk.nlp.component.annotator.PatternCache
getRe2JPattern(String, int) - Static method in class com.workfusion.vds.sdk.nlp.component.annotator.PatternCache
getRe2jPatternRegexNerAnnotator(String, String) - Static method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator: Creates an instance of BaseRegexNerAnnotator that uses re2j pattern.
getReason() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.FieldResult: Get reason of particular mapping result.
getReason() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.LabelResult: Get reason of particular mapping result.
getRecall() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ModelEvaluationResult: Get recall metric value.
getRecordForPrinting(Collection<IeDocumentResult>, StatisticsEvaluationType, String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter: Returns record for printing.
getRegLambda() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Gets the value for the L2 regularization parameter.
getResource(String) - Method in interface com.workfusion.vds.sdk.api.hypermodel.ConfigurationContext: Provide Resource instance for specified path: classpath resource, e.g.
getResource(String) - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext
getResources() - Method in class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration: Gets multi map with additional inputs e.g.
getResult(String) - Method in class com.workfusion.vds.sdk.api.ml.Prediction: Gets the classification result by the label.
getResult() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseResultMapper.MappingResult: Get a map that represents all gold-extracted mapped pairs.
getResults() - Method in class com.workfusion.vds.sdk.api.ml.Prediction: Gets classification results (one per category).
getResults() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.IeDocumentResult: Get field mapping results
getResultTypes() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult: Get results of mapping.
getRight() - Method in class com.workfusion.vds.sdk.api.nlp.model.LayoutBlock.Descriptor
getRightContext() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModelBase
getRightPosition() - Method in interface com.workfusion.vds.sdk.api.nlp.model.LayoutBlock: Get right position.
getRowIndex() - Method in class com.workfusion.vds.sdk.api.nlp.model.Cell.Descriptor
getRowIndex() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Cell: Gets row index of the cell.
getRowIndex() - Method in class com.workfusion.vds.sdk.api.nlp.model.Row.Descriptor
getRowIndex() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Row: Gets the number of rows directly preceding the current row in the same table.
getSampleWeights() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Gets sample weights (SampleWeightsType or list of sample weights for each class type).
getScore() - Method in class com.workfusion.vds.sdk.api.ml.PredictionResult: Gets score of the category.
getScore() - Method in class com.workfusion.vds.sdk.api.nlp.model.Field.Descriptor
getScore() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Field: Gets score of field.
getScore() - Method in class com.workfusion.vds.sdk.api.nlp.model.Label.Descriptor
getScore() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Label: Gets score of this label.
getScore() - Method in class com.workfusion.vds.sdk.api.nlp.model.NamedEntity.Descriptor
getScore() - Method in interface com.workfusion.vds.sdk.api.nlp.model.NamedEntity: Get a score value.
getScore() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrector
getScore() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField: Gets score of field.
getScore() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsLabel: Get score.
getScoringFunction() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets the scoring function.
getSearchClass() - Method in class com.workfusion.vds.sdk.nlp.component.fe.BaseKeywordsInElementFE
getSearchElement(Document, FOCUS) - Method in class com.workfusion.vds.sdk.nlp.component.fe.BaseKeywordsInElementFE
getSearchElementNers(Document, SEARCH) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.BaseNerInFocusElementFE
getSearchElementNers(Document, SEARCH) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFirstNerInFocusElementFE
getSearchElementNers(Document, SEARCH) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsLastNerInFocusElementFE
getSeed() - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier: Gets the seed used by the random number generator.
getSeed() - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier: Gets the seed used by the random number generator.
getSeed() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Gets the seed used by the random number generator.
getSeed() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Gets the seed used by the random number generator.
getSeed() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Gets the seed used by the random number generator.
getSeed() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets the seed used by the random number generator.
getSeed() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Gets the seed used by the random number generator.
getSeed() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Gets the seed used by the random number generator.
getSeed() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets the seed used by the random number generator.
getSeed() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Gets the seed used by the random number generator.
getSeed() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets the seed used by the random number generator.
getSerializableModel() - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier
getSerializableModel() - Method in interface com.workfusion.vds.sdk.ml.python.PythonClassifier
getSharedWorkerDir() - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration: Gets cluster shared worker dir.
getSimilarityScore(E, E) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseFieldResultMapper: Get similarity score between two fields DTO's of parameterized type of field.
getSimilarityScore(StatisticsField, StatisticsField) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.FieldResultMapper
getSimilarityScore(StatisticsGroupField, StatisticsGroupField) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.GroupFieldResultMapper
getSolver() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
getSolver() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Gets the algorithm to use in the optimization problem.
getSolver() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets the algorithm to use in the optimization problem.
getSplitter() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Gets the strategy used to choose the split at each node.
getSplitter() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier: Gets the strategy used to choose the split at each node.
getSshHost() - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration: Gets host.
getSshKey() - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration: Gets ssh key.
getSshKeyPassphrase() - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration: Gets ssh key passphrase.
getSshPort() - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration: Gets ssh port.
getSshUsername() - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration: Gets ssh username.
getStart() - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator.ElementDTO
getSubsample() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Gets the fraction of samples to be used for fitting the individual base learners.
getTabNumber() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField: Get tabnumber of group field.
getTestSetDir() - Method in class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration: Gets path to test set directory.
getText() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Gets plain text of the document.
getText() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Element: Gets text of the field.
getText() - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator.ElementDTO
getText(SEARCH) - Method in class com.workfusion.vds.sdk.nlp.component.fe.BaseKeywordsInElementFE
getText() - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.task.GoldData: Get gold data text from original document.
getText() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField: Gets text of the field.
getThreadsNumber() - Method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration: Gets threads number for local run.
getTolerance() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
getTolerance() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Gets the tolerance for stopping criteria.
getTolerance() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Gets the tolerance for stopping criteria.
getTolerance() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Gets the tolerance for stopping criteria.
getTolerance() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Gets the tolerance for stopping criteria.
getTop() - Method in class com.workfusion.vds.sdk.api.nlp.model.LayoutBlock.Descriptor
getTopPosition() - Method in interface com.workfusion.vds.sdk.api.nlp.model.LayoutBlock: Get top position.
getTrainedModelDir() - Method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration: Gets Path to directory with trained model.
getType() - Method in class com.workfusion.vds.sdk.api.hpo.Dimension: Get dimension type.
getType() - Method in class com.workfusion.vds.sdk.api.nlp.model.MatchingElement.Descriptor
getType() - Method in interface com.workfusion.vds.sdk.api.nlp.model.MatchingElement
getType() - Method in class com.workfusion.vds.sdk.api.nlp.model.NamedEntity.Descriptor
getType() - Method in interface com.workfusion.vds.sdk.api.nlp.model.NamedEntity: Get a type of mentioned entity.
getValue() - Method in class com.workfusion.vds.sdk.api.nlp.fe.Feature: Get feature value.
getValue() - Method in class com.workfusion.vds.sdk.api.nlp.model.Field.Descriptor
getValue() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Field: Gets corrected value from text.
getValue() - Method in class com.workfusion.vds.sdk.api.nlp.model.GoldField.Descriptor
getValue() - Method in interface com.workfusion.vds.sdk.api.nlp.model.GoldField: Gets corrected value from text.
getValue() - Method in class com.workfusion.vds.sdk.nlp.component.pipeline.task.GoldData: Get data-value attribute of gold data.
getValue() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField: Gets corrected value from text.
getVerbose() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Gets verbose level.
getWeightFunction() - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier: Gets the weight function used in prediction.
getWorkingDir() - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor: Gets working directory.
getWorkingDir() - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier: Gets working directory.
getWorkingDir() - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration: Gets cluster working dir.
gold - Variable in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult.Builder
gold(T) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult.Builder: Add gold element DTO.
GoldData - Class in com.workfusion.vds.sdk.nlp.component.pipeline.task: DTO to aggregate gold data.
GoldData(String, String, String, Map<String, String>) - Constructor for class com.workfusion.vds.sdk.nlp.component.pipeline.task.GoldData
GoldField - Interface in com.workfusion.vds.sdk.api.nlp.model: The GoldField interface represents the gold field assigned from expected outputs for training process.
GoldField.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
GoldLabel - Interface in com.workfusion.vds.sdk.api.nlp.model: The GoldLabel interface represents the gold label assigned from expected outputs for training process.
GoldLabel.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
gpu(boolean) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets whether gpu is used.
GradientBoostingClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.gradientboosting: The type Random forest classifier.
GradientBoostingClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.gradientboosting: The type Builder.
GradientBoostingClassifierSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.gradientboosting: The type Gradient boosting classifier serializer.
GradientBoostingClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifierSerializer
Group - Annotation Type in com.workfusion.vds.sdk.api.hypermodel.annotation: Class-level annotation that is used to define single grouping model configuration.
groupField(Collection<FieldInfo>, int) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldInfoUtils: See FieldInfoUtils.filterAndGroupFields(Collection, int, String[])
GroupFieldResult - Class in com.workfusion.vds.sdk.nlp.component.statistics.model: This class represents result of mapping between extracted and gold group field.
GroupFieldResult.Builder - Class in com.workfusion.vds.sdk.nlp.component.statistics.model
GroupFieldResultMapper - Class in com.workfusion.vds.sdk.nlp.component.statistics.mapper: Class to map group field DTO's StatisticsGroupField representation over gold and extracted fields for one group field for one document to create required instance of GroupFieldResult.
GroupFieldResultMapper(StatisticsEvaluationType) - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.mapper.GroupFieldResultMapper
GroupMapping - Annotation Type in com.workfusion.vds.sdk.api.hypermodel.annotation: Class-level annotation that is used to define grouping configuration for hypermodel.
groupResults(Collection<GroupFieldResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.IeDocumentResult.Builder: Add group mapping results

H

hashCode() - Method in class com.workfusion.vds.sdk.api.ml.Prediction
hashCode() - Method in class com.workfusion.vds.sdk.api.ml.PredictionResult
hashCode() - Method in class com.workfusion.vds.sdk.api.nlp.fe.Feature
hashCode() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
hashCode() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult
hashCode() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.FieldResult
hashCode() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.GroupFieldResult
hashCode() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.LabelResult
hashCode() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField
hashCode() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField
hashCode() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsLabel
hashCode() - Method in class com.workfusion.vds.sdk.nlp.component.util.Position
HIGH_CONFIDENCE - Static variable in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator
highMemory(boolean) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets whether high memory mode is used.
HISTORICAL_TASKS_OUTPUT_DIR - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration
HistoricalTaskConfigurationContext - Class in com.workfusion.vds.sdk.model.nlp.generic: This configuration context should be used in composers to configure task on initial step.
HistoricalTaskConfigurationContext(Map<String, Object>) - Constructor for class com.workfusion.vds.sdk.model.nlp.generic.HistoricalTaskConfigurationContext
HtmlCharacterUtils - Class in com.workfusion.vds.sdk.nlp.component.util: Utility to escape string is containing HTML4 special characters code points.
HtmlSpecialCharactersRemoverNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: Text normalizer with capability to preserve only non-special HTML symbols.
HtmlSpecialCharactersRemoverNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.HtmlSpecialCharactersRemoverNormalizer
htmlToCsv(Path, Path, String) - Static method in class com.workfusion.vds.sdk.nlp.component.util.TrainingSetUtils: Build training set file from html files.
HypermodelConfiguration - Annotation Type in com.workfusion.vds.sdk.api.hypermodel.annotation: Class-level annotation that is used to define main configuration class ModelConfiguration for hypermodel.

I

id - Variable in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder
id(String) - Method in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder: Optional training identifier, default is 'training'.
id - Variable in class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration
id(String) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Training identifier, must be unique in scope of cluster.
id(String) - Method in class com.workfusion.vds.sdk.run.config.LocalTrainingConfiguration.Builder: Optional training identifier, default is 'training'.
IeConfigurationContext - Interface in com.workfusion.vds.sdk.api.nlp.configuration: Configuration context for information extraction models.
IeDocument - Interface in com.workfusion.vds.sdk.api.nlp.model: The IeDocument interface represents the document that is used in Information Extraction.
IeDocumentResult - Class in com.workfusion.vds.sdk.nlp.component.statistics.model: This class represent result of one Document processing by InformationExtraction statistic.
IeDocumentResult.Builder - Class in com.workfusion.vds.sdk.nlp.component.statistics.model
IeGoldVsExtractedCSVPrinter - Class in com.workfusion.vds.sdk.nlp.component.statistics.printer: Information Extraction statistics printer implementation.
IeGoldVsExtractedCSVPrinter() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedCSVPrinter
IeGoldVsExtractedPerGroupCSVPrinter - Class in com.workfusion.vds.sdk.nlp.component.statistics.printer: Information Extraction statistics printer implementation.
IeGoldVsExtractedPerGroupCSVPrinter() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedPerGroupCSVPrinter
IePerFieldCSVPrinter - Class in com.workfusion.vds.sdk.nlp.component.statistics.printer: Information Extraction statistics printer implementation.
IePerFieldCSVPrinter() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerFieldCSVPrinter
IePerGroupFieldCSVPrinter - Class in com.workfusion.vds.sdk.nlp.component.statistics.printer: Information Extraction statistics printer implementation.
IePerGroupFieldCSVPrinter() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.printer.IePerGroupFieldCSVPrinter
IeStatisticsCalculator - Class in com.workfusion.vds.sdk.nlp.component.statistics: Information Extraction statistic implementation.
IeStatisticsCalculator() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.IeStatisticsCalculator
IgnorePageWithoutGoldsFilter<S extends Element,F extends Element,C extends com.workfusion.nlp.automl.chunking.Chunk> - Class in com.workfusion.vds.sdk.nlp.component.filter: Ignores all focus elements in pages without gold.
IgnorePageWithoutGoldsFilter(Class<F>, Class<C>) - Constructor for class com.workfusion.vds.sdk.nlp.component.filter.IgnorePageWithoutGoldsFilter
IgnorePageWithoutGoldsInGoldDocumentsFilter<S extends Element,F extends Element,C extends com.workfusion.nlp.automl.chunking.Chunk> - Class in com.workfusion.vds.sdk.nlp.component.filter: Ignores all focus elements in pages without gold and do that only for document where at least one gold occurs.
IgnorePageWithoutGoldsInGoldDocumentsFilter(Class<F>, Class<C>) - Constructor for class com.workfusion.vds.sdk.nlp.component.filter.IgnorePageWithoutGoldsInGoldDocumentsFilter
IgnoreSameDocumentFilter<S extends Element,F extends Element,C extends com.workfusion.nlp.automl.chunking.Chunk> - Class in com.workfusion.vds.sdk.nlp.component.filter: Ignores documents if it contains the golds the same as in previous documents.
IgnoreSameDocumentFilter(Class<F>, Class<C>, Set<String>) - Constructor for class com.workfusion.vds.sdk.nlp.component.filter.IgnoreSameDocumentFilter
IllegalConfigurationException - Exception in com.workfusion.vds.sdk.api.nlp.configuration: Thrown to indicate that there is an error due to configuration building process.
IllegalConfigurationException() - Constructor for exception com.workfusion.vds.sdk.api.nlp.configuration.IllegalConfigurationException
IllegalConfigurationException(String, Throwable) - Constructor for exception com.workfusion.vds.sdk.api.nlp.configuration.IllegalConfigurationException
IllegalConfigurationException(String) - Constructor for exception com.workfusion.vds.sdk.api.nlp.configuration.IllegalConfigurationException
IllegalConfigurationException(Throwable) - Constructor for exception com.workfusion.vds.sdk.api.nlp.configuration.IllegalConfigurationException
Import - Annotation Type in com.workfusion.vds.sdk.api.hypermodel.annotation: Class-level annotation that should be used together with ModelConfiguration.
Import.Configuration - Annotation Type in com.workfusion.vds.sdk.api.hypermodel.annotation: Inner annotation to declare a reference to the another ModelConfiguration class.
Import.Resource - Annotation Type in com.workfusion.vds.sdk.api.hypermodel.annotation: Inner annotation that is used to define fix hyper-model configuration (i.e.
Index - Annotation Type in com.workfusion.vds.sdk.api.nlp.fe.annotation: Define an index for feature extractor performance optimization.
Indexes - Annotation Type in com.workfusion.vds.sdk.api.nlp.fe.annotation: Define an array of indexes that need to be created for annotated feature extractor.
IndexType - Enum in com.workfusion.vds.sdk.api.nlp.fe.annotation: Enum to specify a type of relation for Index covered and covering classes.
init() - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor: Initialize the features extractor for the proper work.
init() - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier: Initialize the classifier for the proper work.
init() - Method in interface com.workfusion.vds.sdk.ml.python.PythonClassifier
init(CacheBuilder, Class<FOCUS>) - Method in class com.workfusion.vds.sdk.nlp.component.fe.BaseKeywordsInElementFE
init(CacheBuilder, Class<FOCUS>) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.BaseNerInFocusElementFE
init(CacheBuilder, Class<FOCUS>) - Method in class com.workfusion.vds.sdk.nlp.component.fe.PositionInCoveringFE
init(CacheBuilder, Class<FOCUS>) - Method in class com.workfusion.vds.sdk.nlp.component.fe.PreviousElementSameLineKeywordsMatchFE
init() - Method in class com.workfusion.vds.sdk.nlp.component.processing.SelectedNormalizersProcessor
init(Map<String, Object>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.BaseStatisticsCalculator
init(Map<String, Object>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.IeStatisticsCalculator
initialize() - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.AhoCorasickDictionaryNerAnnotator
initialize() - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator
initialize() - Method in class com.workfusion.vds.sdk.nlp.component.processing.DateNormalizationPostProcessor
INPUT_DIR - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration
inputDir - Variable in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder
inputDir(Path) - Method in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder: Path to directory with input files.
inputDir - Variable in class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration
inputDir(Path) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Input dir path to folder with training set.
inputDir(String) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Input dir path to folder with training set.
inputDir(Path) - Method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration.Builder: Path to directory with input files.
inputDir(Path) - Method in class com.workfusion.vds.sdk.run.config.LocalTrainingConfiguration.Builder: Path to directory with input files.
insertGroupIndices(Collection<Field>, int...) - Method in class com.workfusion.vds.sdk.nlp.component.processing.grouping.BaseGroupingProcessor: Insert group indices values into fields
insertGroupIndices(Field, int...) - Method in class com.workfusion.vds.sdk.nlp.component.processing.grouping.BaseGroupingProcessor: Insert group indices values into field.
interceptScaling(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets the scaling coefficient of the synthetic features.
interceptScaling(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets the scaling coefficient of the synthetic features.
interceptScaling(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets the scaling coefficient of the synthetic features.
isBootstrap() - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier: Whether samples are drawn with replacement.
isBootstrap() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Whether bootstrap samples are used when building trees.
isBootstrap() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Whether bootstrap samples are used when building trees.
isBootstrapFeatures() - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier: Whether features are drawn with replacement.
isCaseSensitive - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.ner.AhoCorasickDictionaryNerAnnotator
isCheckerModelEnabled(FieldInfo) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldInfoUtils: Checks if checker model is enabled for this field
isDeleteCache() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier
isDual() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Select the algorithm to either solve the dual or primal optimization problem.
isDual() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Select the algorithm to either solve the dual or primal optimization problem.
isDual() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Select the algorithm to either solve the dual or primal optimization problem.
isFindC() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
IsFirstNerInFocusElementFE<SEARCH extends Element,FOCUS extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe.ner: Determines if the first NER in the search class is in the user-defined focus.
IsFirstNerInFocusElementFE(Class<SEARCH>) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFirstNerInFocusElementFE
isFitIntercept() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Whether to calculate the intercept for this model.
isFitIntercept() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Whether to calculate the intercept for this model.
isFitIntercept() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Whether to calculate the intercept for this model.
isFitIntercept() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Whether to calculate the intercept for this model.
isFitPriority() - Method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifier
IsFocusElementExactSameToNerFE<SEARCH extends Element,FOCUS extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe.ner: Determines if the covering focus Element (searchClass) has the same content with the covering NER.
IsFocusElementExactSameToNerFE(Class<SEARCH>, boolean) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFocusElementExactSameToNerFE
IsFocusElementWithNerFE<SEARCH extends Element,FOCUS extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe.ner: Determines if the search Element covering focus Element contains NER/NERs.
IsFocusElementWithNerFE(Class<SEARCH>, boolean) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFocusElementWithNerFE
isFtrl() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier
isGpu() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Whether the gpu is used during training.
isHighMemory() - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier: Wheather high memory mode is enabled (gpu only) where training data is kept on CPU memory and only the mini-batch data is sent.
IsLastNerInFocusElementFE<SEARCH extends Element,FOCUS extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe.ner: Determines if the last NER in the search class is in the user-defined focus.
IsLastNerInFocusElementFE(Class<SEARCH>) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.ner.IsLastNerInFocusElementFE
IsoCurrencyNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization
IsoCurrencyNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.IsoCurrencyNormalizer
IsoCurrencyNormalizer(List<String>) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.IsoCurrencyNormalizer
IsoCurrencyNormalizer(StringSimilarity, double) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.IsoCurrencyNormalizer
IsoCurrencyNormalizer(List<String>, StringSimilarity, double) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.IsoCurrencyNormalizer
isOobScore() - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier: Whether to use out-of-bag samples to estimate the generalization error.
isOobScore() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Whether to use out-of-bag samples to estimate the generalization accuracy.
isOobScore() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Whether to use out-of-bag samples to estimate the generalization accuracy.
isParamGridAvailable() - Method in interface com.workfusion.vds.sdk.api.ml.ParamGridClassifier: Verify is hpoTuning is available for classifier.
isParamGridAvailable() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearParamGridClassifier
isParamGridAvailable() - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostParamGridClassifier
isParamGridAvailable() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorParamGridClassifier
isParamGridAvailable() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionParamGridClassifier
isParamGridAvailable() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestParamGridClassifier
isPresort() - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier: Whether to presort the data to speed up the finding of best splits in fitting.
isQuietMode() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
isReadOnly() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Checks permission for document modification.
isRefit() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Whether the final refit is needed.
isShuffle() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Whether or not the training data should be shuffled after each epoch.
isUseCache() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier
isVerbose() - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier: Whether the verbosity of the tree building process are used.
isVerbose() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Whether the verbosity of the tree building process are used.
isVerbose() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Whether the verbosity of the tree building process are used.
isVerbose() - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier: Whether the verbosity of the tree building process are used.
isVerbose() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Whether the verbosity of the tree building process are used.
isVerbose() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV: Whether the verbosity of the tree building process are used.
isVerbose() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Whether the verbosity of the tree building process are used.
isVerbose() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Whether the verbosity of the tree building process are used.
isWarmStart() - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier: Whether warm start is used.
isWarmStart() - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier: Whether warm start is used.
isWarmStart() - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier: Whether warm start is used.
isWarmStart() - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression: Whether warm start is used.
isWarmStart() - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier: Whether warm start is used.
isWarmStart() - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier: Whether warm start is used.

J

jobs(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets the number of jobs to run in parallel for both fit and predict.
jobs(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets the number of jobs to run in parallel for both fit and predict.
jobs(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier.Builder: Sets the number of jobs to run in parallel for both fit and predict.
jobs(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets the number of jobs to run in parallel for both fit and predict.
jobs(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets the number of jobs to run in parallel for both fit and predict.
jobs(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the number of jobs to run in parallel for both fit and predict.
jobs(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets the number of jobs to run in parallel for both fit and predict.
JSON_ID_LEFT_CONTEXT - Static variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionUtils
JSON_ID_MATRICIES - Static variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionUtils
JSON_ID_RIGHT_CONTEXT - Static variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionUtils
jsonTextPartsToCsv(Path, Path) - Static method in class com.workfusion.vds.sdk.nlp.component.util.TrainingSetUtils: Assemble separate JSON with textParts files into single csv file.

K

KeywordActionType - Enum in com.workfusion.vds.sdk.nlp.component.dictionary: Enum to specify action to modify CSV column value in CsvDictionaryKeywordProvider.
keywords - Variable in class com.workfusion.vds.sdk.nlp.component.fe.BaseKeywordsInElementFE
KNeighborsClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.kneighbors: The type KNeighbor classifier.
KNeighborsClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.kneighbors: The type Builder.
KNeighborsClassifierSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.kneighbors: The type KNeighbor classifier serializer.
KNeighborsClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifierSerializer

L

l1(Double) - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
l1Ratio(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets the Elastic Net mixing parameter [0, 1].
l2(Double) - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
label(String) - Method in class com.workfusion.vds.sdk.api.ml.dataset.Record.Builder: Sets category label.
label(String) - Method in class com.workfusion.vds.sdk.api.ml.PredictionResult.Builder: Sets category label.
Label - Interface in com.workfusion.vds.sdk.api.nlp.model: The Label interface represents the label that was assigned during Classification.
label(String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsLabel.Builder: Add label.
Label.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
LabelResult - Class in com.workfusion.vds.sdk.nlp.component.statistics.model: This class represents result of mapping between Label and GoldLabel elements in document for classification.
LabelResult.Builder - Class in com.workfusion.vds.sdk.nlp.component.statistics.model
LabelResultMapper - Class in com.workfusion.vds.sdk.nlp.component.statistics.mapper: Class to map label DTO's StatisticsLabel representation over gold and extracted labels for one classification document to create instance of LabelResult.
LabelResultMapper() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.mapper.LabelResultMapper
labels(Collection<LabelResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ClassificationDocumentResult.Builder: Add mapping labels
LayoutBlock - Interface in com.workfusion.vds.sdk.api.nlp.model: The LayoutBlock interface represents a block of text based on OCR pixel positions.
LayoutBlock.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
leafSize(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier.Builder: Sets the leaf size.
learningRate(double) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets the learning rate.
learningRate(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier.Builder: Sets the learning rate.
learningRate(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the learning rate.
learningRate(LearningRateType) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets learning rate schedule.
learningRate(Double) - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
LearningRateType - Enum in com.workfusion.vds.sdk.ml.sklearn.sgd.parameters: The enum Learning rate schedule.
leftContext - Variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModelBase
LiblinearClassifier - Class in com.workfusion.vds.sdk.ml.liblinear: Utility class to store possible training arguments for Java version of Liblinear classifier.
LiblinearClassifier(LiblinearClassifier.Builder) - Constructor for class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier
LiblinearClassifier.Builder,T extends LiblinearClassifier> - Class in com.workfusion.vds.sdk.ml.liblinear
LiblinearClassifier.Solver - Enum in com.workfusion.vds.sdk.ml.liblinear
LiblinearConstants - Class in com.workfusion.vds.sdk.ml.liblinear.constant: Constant for Liblinear.
LiblinearParamGridClassifier - Class in com.workfusion.vds.sdk.ml.liblinear: HPO params for liblinear setting to select best param values.
LiblinearParamGridClassifier.Builder - Class in com.workfusion.vds.sdk.ml.liblinear
Line - Interface in com.workfusion.vds.sdk.api.nlp.model: The Line interface represents line element in the Document.
Line.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
LinearSupportVectorClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.linearsvc: The type Linear support vector classifier.
LinearSupportVectorClassifier(LinearSupportVectorClassifier.Builder) - Constructor for class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier
LinearSupportVectorClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.linearsvc: The type Builder.
LinearSupportVectorClassifierSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.linearsvc: The type Linear support vector classifier serializer.
LinearSupportVectorClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifierSerializer
LinearSupportVectorConstants - Class in com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant: Constant for LinearSupportVector with Python-based implementation via sklearn.
LinearSupportVectorParamGridClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.linearsvc: Linear support vector param grid classifier to select best param values from provided for tuning params.
LinearSupportVectorParamGridClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.linearsvc
load(Path) - Method in interface com.workfusion.vds.sdk.api.ml.serialize.ModelSerializer: Load classifier.
load(Path) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifierSerializer
load(Reader) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModel
load(Path) - Static method in class com.workfusion.vds.sdk.util.SerializeUtils: Load a classifier by a string path and use default working dir.
load(InputStream) - Static method in class com.workfusion.vds.sdk.util.SerializeUtils: Load a classifier by a string path.
loadConfiguration(Path) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Loads configuration from file.
loadFromMap(BaseDpLinearClassifier.Builder, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression.DpLogisticRegressionClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.svm.DpSvmClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifierSerializer: Build classifier instance from the parameters map.
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCVSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifierSerializer
loadFromMap(Path, Map<String, String>) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifierSerializer
loadModel(C, Path) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifierSerializer: Loads model by bridge.
loadParameters(Path) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifierSerializer: Load parameters list.
localeResource - Variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.BaseNumberFormatNormalizer
localeSupplier - Variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.BaseNumberFormatNormalizer
LocalExecutionConfiguration - Class in com.workfusion.vds.sdk.run.config: Configuration class for model local extraction run.
LocalExecutionConfiguration.Builder - Class in com.workfusion.vds.sdk.run.config: Builder class used to build instance of LocalExecuteConfiguration.
LocalTrainingConfiguration - Class in com.workfusion.vds.sdk.run.config: Configuration class for model training local run.
LocalTrainingConfiguration.Builder - Class in com.workfusion.vds.sdk.run.config: Builder class used to build instance of LocalTrainingConfiguration.
logger - Static variable in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider
LogisticRegression - Class in com.workfusion.vds.sdk.ml.sklearn.logisticregression: The type Logistic regression.
LogisticRegression(LogisticRegression.Builder) - Constructor for class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression
LogisticRegression.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.logisticregression: The type Builder.
LogisticRegressionConstants - Class in com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants: Constant for LogisticRegression with Python-based implementation via sklearn.
LogisticRegressionCV - Class in com.workfusion.vds.sdk.ml.sklearn.logisticregression: The type Logistic regression with cross validation.
LogisticRegressionCV.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.logisticregression: The type Builder.
LogisticRegressionCVSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.logisticregression: The type Logistic regression with cross validation serializer.
LogisticRegressionCVSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCVSerializer
LogisticRegressionParamGridClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.logisticregression: Logistic regression param grid classifier to select best param values from provided for tuning params.
LogisticRegressionParamGridClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.logisticregression
LogisticRegressionSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.logisticregression: The type Logistic regression serializer.
LogisticRegressionSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionSerializer
LOSS_EPSILON - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants: Sets the epsilon in loss function of epsilon-SVR.
LOSS_EPSILON_ARG - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants
lossEpsilon(double) - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Builder
lossFunction(LossFunctionType) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the loss function to be optimized.
lossFunction(LossFunctionType) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets the loss function.
lossFunction(LossFunctionType) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets the loss function.
lossFunction(VowpalWabbitClassifier.LossFunction) - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
LossFunctionType - Enum in com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters: The enum Loss function types.
LossFunctionType - Enum in com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters: The enum Loss function types.
LossFunctionType - Enum in com.workfusion.vds.sdk.ml.sklearn.sgd.parameters: The enum Loss function types.
lossFunctionTypes(List<LossFunctionType>) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorParamGridClassifier.Builder
lowerCase() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder: Provides conversion of text to lower-case.
LowerCaseNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: Text normalizer with capability to modify text to contain only lower-case letters for the specified locale.
LowerCaseNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.LowerCaseNormalizer
LowerCaseNormalizer(Locale) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.LowerCaseNormalizer
LowerCaseWordshapeFE<FOCUS extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe: Finds wordshape of covered text, removing leading/trailing whitespace and making all characters lower case and digits '1'.
LowerCaseWordshapeFE() - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.LowerCaseWordshapeFE

M

mandatorySearch - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator
mapBySimilarity(Table<E, E, Double>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseFieldResultMapper: Generate an instance of MappingResult to represent a result of mapping between golds and extracts based on similarity matrix.
MapDocumentTextToValueNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: Text normalized based on dictionary provided from resources.
MapDocumentTextToValueNormalizer(Resource) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.MapDocumentTextToValueNormalizer
MapDocumentTextToValueNormalizer(Resource, StringSimilarity) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.MapDocumentTextToValueNormalizer
MapDocumentTextToValueNormalizer(Resource, double) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.MapDocumentTextToValueNormalizer
MapDocumentTextToValueNormalizer(Resource, StringSimilarity, double) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.MapDocumentTextToValueNormalizer
MappingResult() - Constructor for class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseResultMapper.MappingResult
mapResults(List<E>, List<E>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.mapper.BaseResultMapper: This method analyze gold and extracted elements DTO's to find positive and negative results of extracted-gold elements pairs and create statistic results to describe such mapping results.
margin(double) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.svm.DpSvmClassifier.Builder: Sets the margin value.
MatcherTokenAnnotator - Class in com.workfusion.vds.sdk.nlp.component.annotator.tokenizer: Tokenizer implementation that perform match operation on text using pattern.
MatcherTokenAnnotator(Class<? extends Element>, Class<? extends Element>, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.MatcherTokenAnnotator
MatcherTokenAnnotator(Class<? extends Element>, Class<? extends Element>, String, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.MatcherTokenAnnotator
MatcherTokenAnnotator(String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.MatcherTokenAnnotator
MatcherTokenAnnotator(String, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.MatcherTokenAnnotator
MatchingElement - Interface in com.workfusion.vds.sdk.api.nlp.model: The MatchingElement interface represents object that is intended for Matching classification model
MatchingElement.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
maxDepth(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the maximum depth of the tree.
maxDepth(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets the maximum depth of the tree.
maxDepth(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Set the maximum depth of the tree.
maxDepth(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets maximum depth of the individual regression estimators.
maxDepth(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the maximum depth of the tree.
maxEpochs(int) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets the number of epochs.
maxFeatures(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets the maximum number of features to draw from data set to train each base estimator.
maxFeatures(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets the fraction of features to draw from data set to train each base estimator.
maxFeatures(MaxFeaturesType) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the maximum number of features to consider when looking for the best split.
maxFeatures(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the maximum number of features to consider when looking for the best split.
maxFeatures(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the fraction of features to consider when looking for the best split.
maxFeatures(MaxFeaturesType) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets the maximum number of features to consider when looking for the best split.
maxFeatures(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets the maximum number of features to consider when looking for the best split.
maxFeatures(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets the fraction of features to consider when looking for the best split.
maxFeatures(MaxFeaturesType) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets the maximum number of features to consider when looking for the best split.
maxFeatures(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets the maximum number of features to consider when looking for the best split.
maxFeatures(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets the fraction of features to consider when looking for the best split.
maxFeatures(MaxFeaturesType) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the maximum number of features to consider when looking for the best split.
maxFeatures(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the maximum number of features to consider when looking for the best split.
maxFeatures(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the fraction of features to consider when looking for the best split.
maxFeatures(MaxFeaturesType) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the maximum number of features to consider when looking for the best split.
maxFeatures(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the maximum number of features to consider when looking for the best split.
maxFeatures(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the fraction of features to consider when looking for the best split.
maxFeatureSize(Integer) - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
MaxFeaturesType - Enum in com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters: The enum Max features preset.
MaxFeaturesType - Enum in com.workfusion.vds.sdk.ml.sklearn.extratree.parameters: The enum Max features preset.
MaxFeaturesType - Enum in com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters: The enum Max features preset.
MaxFeaturesType - Enum in com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters: The enum Max features preset.
MaxFeaturesType - Enum in com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters: The enum Max features preset.
maxIterations(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets the maximum number of iterations to be run.
maxIterations(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets the maximum number of iterations to be run.
maxIterations(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets the maximum number of iterations to be run.
maxIterations(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets the maximum number of iterations to be run.
maxIterationsRange(DiscreteMultipliedRange) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorParamGridClassifier.Builder
maxLeafNodes(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets max leaf nodes.
maxLeafNodes(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets max leaf nodes.
maxLeafNodes(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets max leaf nodes.
maxLeafNodes(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets max leaf nodes.
maxLeafNodes(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets max leaf nodes.
maxSamples(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets the fraction of samples to draw from data set to train each base estimator.
maxSamples(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets the maximum number of samples to draw from data set to train each base estimator.
mentionType - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator
MIN_FEATURES_FREQUENCY - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration: Parameter to define the minimum frequency of the feature required to include it to the model.
minImpurityDecrease(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets min impurity decrease.
minImpurityDecrease(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets min impurity decrease.
minImpurityDecrease(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets min impurity decrease.
minImpurityDecrease(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets min impurity decrease.
minImpurityDecrease(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets min impurity decrease.
minSamplesLeaf(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the minimum number of samples required to be at a leaf node.
minSamplesLeaf(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the minimum number of samples required to be at a leaf node (the fraction of the samples).
minSamplesLeaf(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Set the minimum number of samples required to be at a leaf node.
minSamplesLeaf(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets the minimum number of samples required to be at a leaf node (the fraction of the samples).
minSamplesLeaf(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Set the minimum number of samples required to be at a leaf node.
minSamplesLeaf(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets the minimum number of samples required to be at a leaf node (the fraction of the samples).
minSamplesLeaf(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the minimum number of samples required to be at a leaf node.
minSamplesLeaf(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the minimum fraction of samples required to be at a leaf node.
minSamplesLeaf(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the minimum number of samples required to be at a leaf node.
minSamplesLeaf(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the minimum number of samples required to be at a leaf node (the fraction of the samples).
minSamplesLeafRange(DiscreteMultipliedRange) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestParamGridClassifier.Builder
minSamplesSplit(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the minimum number of samples required to split an internal node (the fraction of the samples).
minSamplesSplit(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the minimum number of samples required to split an internal node.
minSamplesSplit(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets the minimum number of samples required to split an internal node (the fraction of the samples).
minSamplesSplit(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets the minimum number of samples required to split an internal node.
minSamplesSplit(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets the minimum number of samples required to split an internal node (the fraction of the samples).
minSamplesSplit(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets the minimum number of samples required to split an internal node.
minSamplesSplit(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the minimum fraction of samples required to split an internal node.
minSamplesSplit(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the minimum number of samples required to split an internal node.
minSamplesSplit(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the minimum number of samples required to split an internal node (the fraction of the samples).
minSamplesSplit(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the minimum number of samples required to split an internal node.
minWeightFractionLeaf(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the minimum weighted fraction of the sum total of weights (of all the input samples) required to be at a leaf node.
minWeightFractionLeaf(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets the minimum weighted fraction of the sum total of weights (of all the input samples) required to be at a leaf node.
minWeightFractionLeaf(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets the minimum weighted fraction of the sum total of weights (of all the input samples) required to be at a leaf node.
minWeightFractionLeaf(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the minimum weighted fraction of the sum total of weights (of all the input samples) required to be at a leaf node.
minWeightFractionLeaf(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the minimum weighted fraction of the sum total of weights (of all the input samples) required to be at a leaf node.
ModelConfiguration - Annotation Type in com.workfusion.vds.sdk.api.hypermodel.annotation: Class-level annotation to declare a class as a part of hyper-model configuration.
ModelDescription - Annotation Type in com.workfusion.vds.sdk.api.hypermodel.annotation: Class-level annotation that is used to define model description: code, version, title, description etc.
ModelEvaluationResult - Class in com.workfusion.vds.sdk.nlp.component.statistics.model: This class represents result of model evaluation.
ModelEvaluationResult.Builder - Class in com.workfusion.vds.sdk.nlp.component.statistics.model
modelName - Variable in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder: The Model name.
modelName(String) - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder: Set a model name.
modelName(String) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder
modelName - Variable in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier.Builder: The Model name.
modelName(String) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier.Builder: Set a model name.
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifier.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder
modelName(String) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder
ModelRunner - Class in com.workfusion.vds.sdk.run: Model runner for training and execution.
ModelRunner() - Constructor for class com.workfusion.vds.sdk.run.ModelRunner
ModelSerializer<C extends Classifier> - Interface in com.workfusion.vds.sdk.api.ml.serialize: The general interface for python classifier serializers.
momentum(double) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets the momentum.
MULTI_CLASS - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration
multiClass(MultiClassType) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets the multi-class strategy if y contains more than two classes.
multiClass(MultiClassType) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets the multi-class strategy if y contains more than two classes.
multiClass(MultiClassType) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets the multi-class strategy if y contains more than two classes.
MultiClassType - Enum in com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters: The enum Multi class.
MultiClassType - Enum in com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters: The enum Multi class.
MultiDictionaryDataProvider - Class in com.workfusion.vds.sdk.nlp.component.dictionary: This dictionary provider aggregates more than one CsvDictionaryKeywordProvider keywords.
MultiDictionaryDataProvider(CsvDictionaryKeywordProvider...) - Constructor for class com.workfusion.vds.sdk.nlp.component.dictionary.MultiDictionaryDataProvider
MultinomialNaiveBayesClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.mnb: The type Naive Bayes classifier for multinomial models.
MultinomialNaiveBayesClassifier(MultinomialNaiveBayesClassifier.Builder) - Constructor for class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifier: Creates new BasePythonClassifier instance.
MultinomialNaiveBayesClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.mnb: The type Builder.
MultinomialNaiveBayesClassifierSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.mnb: The type Naive Bayes classifier for multinomial models serializer.
MultinomialNaiveBayesClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifierSerializer

N

name(String) - Method in class com.workfusion.vds.sdk.api.hpo.Dimension.Builder: Init name for for built dimension.
name - Variable in class com.workfusion.vds.sdk.api.hpo.Dimension
name - Variable in class com.workfusion.vds.sdk.api.nlp.fe.Feature
name(String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField.Builder: Set field name.
name(String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField.Builder: Add group field name.
Named - Annotation Type in com.workfusion.vds.sdk.api.hypermodel.annotation: Method-level annotation to declare a component of configuration.
NamedEntity - Interface in com.workfusion.vds.sdk.api.nlp.model: The NamedEntity represents some real object inside Document, like person, location, bank code, etc.
NamedEntity.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
neighbors(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier.Builder: Sets number of neighbors to use by default for kneighbors queries.
normalize(String) - Method in interface com.workfusion.vds.sdk.api.nlp.normalization.Normalizer: Normalization function to be applied.
normalize(String, String) - Method in interface com.workfusion.vds.sdk.api.nlp.normalization.NumberNormalizer: Normalization function to be applied.
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.filter.AutoMlKeepAllNegativeExamplesFilter
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.AmountFormatNormalizer
normalize(String, String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.AmountFormatNormalizer
normalize(String, String, Locale) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.AmountFormatNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.CompositeNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.CurrencyRemoveNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DecimalNumberFormatNormalizer
normalize(String, String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DecimalNumberFormatNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DictionaryReplacementNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.IsoCurrencyNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrAmountNormalizer
normalize(String, String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrAmountNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrCusipNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrDateNormalizer: Deprecated.
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrErrorsDateNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrWhitespaceNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.CapitalizeNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.HtmlSpecialCharactersRemoverNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.LowerCaseNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.MapDocumentTextToValueNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.PatternReplacerNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.TrimmerNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.UpperCaseNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.UsStatesAbbreviationNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToDateNormalizer
normalize(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToIntegerNormalizer
normalize(String, String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToIntegerNormalizer
NORMALIZE_SCORE - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration: Boolean flag to define score normalization behavior
normalizeNumber(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToIntegerNormalizer
Normalizer - Interface in com.workfusion.vds.sdk.api.nlp.normalization: This class provides the method normalize which transforms text into another form.
NormalizerProcessor - Class in com.workfusion.vds.sdk.nlp.component.processing: Field's value processor for Information Extraction model that allows to perform different normalization operations for the specified field name in the entire document.
NormalizerProcessor(String, Normalizer) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.NormalizerProcessor
normalizeSpaces() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder: Provides normalization of multiple sequential spaces, tabs, new lines to a single space symbol of text.
normalizeText(String) - Method in class com.workfusion.vds.sdk.nlp.component.fe.BaseKeywordsInElementFE: Normalize text according case-sensitivity
NumberNormalizer - Interface in com.workfusion.vds.sdk.api.nlp.normalization: This class provides ability to transform textual representations of numbers to a standard numerical string.

O

OcrAmountNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization
OcrAmountNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrAmountNormalizer
OcrAmountNormalizer(List<String>) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrAmountNormalizer
OcrCusipNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization
OcrCusipNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrCusipNormalizer
OcrDateNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization: Deprecated.
use CompositeNormalizer with OcrErrorsDateNormalizer and DateFormatNormalizer
OcrDateNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrDateNormalizer: Deprecated.
OcrDateNormalizer(LocalDate) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrDateNormalizer: Deprecated.
OcrDateNormalizer(String) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrDateNormalizer: Deprecated.
OcrDateNormalizer(String, LocalDate) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrDateNormalizer: Deprecated.
OcrErrorsDateNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization: This class is intended to remove ocr errors from date string.
OcrErrorsDateNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrErrorsDateNormalizer
OcrWhitespaceNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization
OcrWhitespaceNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrWhitespaceNormalizer
of(Element) - Static method in class com.workfusion.vds.sdk.nlp.component.util.Position: Factory method to create position from Element (take begin and end from Element object).
onDestroy() - Method in class com.workfusion.automl.ml.fe.GenericPythonFE
OnDestroy - Annotation Type in com.workfusion.vds.sdk.api.nlp.annotation: Method-level annotation for FeatureExtractor and Annotator that is used to define method that should be invoked after all document processing.
onDestroy() - Method in class com.workfusion.vds.sdk.nlp.component.fe.FocusElementKeywordsFE
onDestroy() - Method in class com.workfusion.vds.sdk.nlp.component.fe.SimilarityToKeywordsFE
OnDocumentComplete - Annotation Type in com.workfusion.vds.sdk.api.nlp.annotation: Method-level annotation for FeatureExtractor that is used to define method that should be invoked after feature extraction for all elements but before OnDestroy annotated methods.
onDocumentComplete() - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.AreFollowingTokensCapitalizedBeforeNerFE
onDocumentComplete() - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.BaseNerInFocusElementFE
onDocumentComplete() - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFocusElementExactSameToNerFE
onDocumentComplete() - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFocusElementWithNerFE
onDocumentComplete() - Method in class com.workfusion.vds.sdk.nlp.component.fe.PositionInCoveringFE
onDocumentComplete() - Method in class com.workfusion.vds.sdk.nlp.component.fe.PreviousElementSameLineKeywordsMatchFE
onDocumentComplete() - Method in class com.workfusion.vds.sdk.nlp.component.fe.SimilarityToKeywordsFE
onDocumentStart(Document) - Method in class com.workfusion.automl.ml.fe.GenericPythonFE
OnDocumentStart - Annotation Type in com.workfusion.vds.sdk.api.nlp.annotation: Method-level annotation for FeatureExtractor that is used to define method that should be invoked before feature extraction for all elements but after constructor and OnInit methods.
onDocumentStart(Document, Class<F>) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.AreFollowingTokensCapitalizedBeforeNerFE
onDocumentStart(Document, Class<FOCUS>) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.BaseNerInFocusElementFE
onDocumentStart(Document, Class<FOCUS>) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFocusElementExactSameToNerFE
onDocumentStart(Document, Class<FOCUS>) - Method in class com.workfusion.vds.sdk.nlp.component.fe.ner.IsFocusElementWithNerFE
onDocumentStart(Document) - Method in class com.workfusion.vds.sdk.nlp.component.fe.PositionInCoveringFE
onDocumentStart(Document, Class<FOCUS>) - Method in class com.workfusion.vds.sdk.nlp.component.fe.PreviousElementSameLineKeywordsMatchFE
onDocumentStart(Document, Class<T>) - Method in class com.workfusion.vds.sdk.nlp.component.fe.SimilarityToKeywordsFE
onInit() - Method in class com.workfusion.automl.ml.fe.GenericPythonFE
OnInit - Annotation Type in com.workfusion.vds.sdk.api.nlp.annotation: Method-level annotation for FeatureExtractor and Annotator that is used to define init method that should be invoked after constructor.
onInit() - Method in class com.workfusion.vds.sdk.nlp.component.fe.SimilarityToKeywordsFE
oobScore(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets whether to use out-of-bag samples to estimate the generalization error.
oobScore(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets whether to use out-of-bag samples to estimate the generalization accuracy.
oobScore(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets whether to use out-of-bag samples to estimate the generalization accuracy.
openInputStream() - Method in interface com.workfusion.vds.sdk.api.hypermodel.Resource: Opens an input stream to read data from the resource.
optional() - Static method in class com.workfusion.vds.sdk.api.hpo.Dimension.Builder: Generate dimension builder for binary dimension.
optional(String...) - Static method in class com.workfusion.vds.sdk.api.hpo.Dimensions: Produce an optional dimension for each component from a set of components names referred by theirs ids from Named annotation.
optional(Component...) - Static method in class com.workfusion.vds.sdk.api.hpo.Dimensions: Produce an optional dimension for each component.
optionalOne() - Static method in class com.workfusion.vds.sdk.api.hpo.Dimension.Builder: Generate dimension builder for optional one dimension.
optionalOne(String...) - Static method in class com.workfusion.vds.sdk.api.hpo.Dimensions: Produce a optional one dimension from a set of components referred by theirs ids from Named annotation.
optionalOne(Component...) - Static method in class com.workfusion.vds.sdk.api.hpo.Dimensions: Produce a optional one dimension from a set of components.
OUTPUT_DIR - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration
outputDir - Variable in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder
outputDir(Path) - Method in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder: Path to directory to store training results.
outputDir - Variable in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration: The path to output directory.
outputDir(Path) - Method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration.Builder: Path to directory to store extraction run results.
outputDir(Path) - Method in class com.workfusion.vds.sdk.run.config.LocalTrainingConfiguration.Builder: Path to directory to store training results.

P

P - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter
Page - Interface in com.workfusion.vds.sdk.api.nlp.model: The Page interface represents a page in the document.
Page.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
PARAM_ALGORITHM - Static variable in class com.workfusion.vds.sdk.ml.sklearn.adaboost.constant.AdaBoostConstants: Real boosting algorithm.
PARAM_APPLY_L2_NORM - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration: Parameter to define to apply or not to apply l2 normalization.
PARAM_BOOTSTRAP - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: Whether bootstrap samples are used when building trees.
PARAM_CLASS_WEIGHT - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: Set the parameter C of class i to class_weight[i]*C for SVC.
PARAM_CLASS_WEIGHT - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: Weights associated with classes in the form {class_label: weight}.
PARAM_CLASS_WEIGHT - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: Weights associated with classes in the form {class_label: weight}.
PARAM_CRITERION - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: The function to measure the quality of a split.
PARAM_DUAL - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: Select the algorithm to either solve the dual or primal optimization problem.
PARAM_DUAL - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: Dual or primal formulation.
PARAM_FIT_INTERCEPT - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: Whether to calculate the intercept for this model.
PARAM_FIT_INTERCEPT - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: Specifies if a constant (a.k.a.
PARAM_INTERCEPT_SCALING - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: When fit_intercept is True, instance vector x becomes [x, intercept_scaling], i.e.
PARAM_INTERCEPT_SCALING - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: Useful only when the solver ‘liblinear’ is used and self.fit_intercept is set to True.
PARAM_JOBS - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: Number of CPU cores used when parallelizing over classes if multi_class=’ovr’”.
PARAM_LEARNING_RATE - Static variable in class com.workfusion.vds.sdk.ml.sklearn.adaboost.constant.AdaBoostConstants: Learning rate shrinks the contribution of each classifier by learning_rate.
PARAM_LOSS - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: Specifies the loss function.
PARAM_MAX_DEPTH - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: The maximum depth of the tree.
PARAM_MAX_FEATURES - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: The number of features to consider when looking for the best split.
PARAM_MAX_ITERATIONS - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: The maximum number of iterations to be run.
PARAM_MAX_ITERATIONS - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: Maximum number of iterations taken for the solvers to converge.
PARAM_MAX_LEAF_NODES - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: Grow trees with max_leaf_nodes in best-first fashion.
PARAM_MIN_IMPURITY_DECREASE - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: A node will be split if this split induces a decrease of the impurity greater than or equal to this value.
PARAM_MIN_SAMPLES_LEAF - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: The minimum number of samples required to be at a leaf node.
PARAM_MIN_SAMPLES_SPLIT - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: The minimum number of samples required to split an internal node.
PARAM_MIN_WEIGHT_FRACTION_LEAF - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: The minimum weighted fraction of the sum total of weights (of all the input samples) required to be at a leaf node.
PARAM_MULTI_CLASS - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: Determines the multi-class strategy if y contains more than two classes.
PARAM_MULTI_CLASS - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: If the option chosen is ‘ovr’, then a binary problem is fit for each label.
PARAM_NORMALIZATION_DICTIONARY_PATH - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration
PARAM_NORMALIZATION_PATTERN - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration
PARAM_NUMBER_OF_ESTIMATORS - Static variable in class com.workfusion.vds.sdk.ml.sklearn.adaboost.constant.AdaBoostConstants: The maximum number of estimators at which boosting is terminated.
PARAM_NUMBER_OF_ESTIMATORS - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: The number of trees in the forest.
PARAM_NUMBER_OF_PARALLEL_JOBS - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: The number of jobs to run in parallel.
PARAM_OOB_SCORE - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: Whether to use out-of-bag samples to estimate the generalization accuracy.
PARAM_PENALTY - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: Specifies the norm used in the penalization.
PARAM_PENALTY - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: Used to specify the norm used in the penalization.
PARAM_PENALTY_COEFFICIENT - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: Regularization parameter.
PARAM_PENALTY_COEFFICIENT - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: Inverse of regularization strength; must be a positive float.
PARAM_PIPELINE_TYPE - Static variable in class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration
PARAM_SEED - Static variable in class com.workfusion.vds.sdk.ml.sklearn.adaboost.constant.AdaBoostConstants: The seed used by the random number generator.
PARAM_SEED - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: The seed of the pseudo random number generator to use when shuffling the data for the dual coordinate descent (if dual=true).
PARAM_SEED - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: The seed of the pseudo random number generator to use when shuffling the data.
PARAM_SEED - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: Controls both the randomness of the bootstrapping of the samples used when building trees (if bootstrap=True) and the sampling of the features to consider when looking for the best split at each node (if max_features < n_features).
PARAM_SOLVER - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: Algorithm to use in the optimization problem.
PARAM_TOLERANCE - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: Tolerance for stopping criteria.
PARAM_TOLERANCE - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: Tolerance for stopping criteria.
PARAM_VERBOSE - Static variable in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.constant.LinearSupportVectorConstants: Enable verbose output.
PARAM_VERBOSE - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: For the liblinear and lbfgs solvers set verbose to any positive number for verbosity.
PARAM_VERBOSE - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: Controls the verbosity when fitting and predicting.
PARAM_WARM_START - Static variable in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.constants.LogisticRegressionConstants: When set to True, reuse the solution of the previous call to fit as initialization, otherwise, just erase the previous solution.
PARAM_WARM_START - Static variable in class com.workfusion.vds.sdk.ml.sklearn.randomforest.constant.RandomForestConstants: When set to True, reuse the solution of the previous call to fit and add more estimators to the ensemble, otherwise, just fit a whole new forest.
parameter(String, Object) - Method in class com.workfusion.vds.sdk.api.hypermodel.pipeline.PipelineConfiguration.Builder: Defines a parameter by its name and value
parameter(String, Object) - Method in class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifier.Builder: Sets custom parameter.
parameter(String, Object) - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
parameters - Variable in class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifier.Builder: Generalized (customizable) model parameters (Map)
parameters - Variable in class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifier: The parameters (Map) of the model.
parameters(Map<String, Object>) - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
parameters - Variable in class com.workfusion.vds.sdk.nlp.component.pipeline.BaseConfigurationContext
parameters - Variable in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder
parameters(Map<String, Object>) - Method in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder: Additional parameters for training run.
parameters - Variable in class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration
parameters(Map<String, Object>) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Training parameters.
parameters(Map<String, Object>) - Method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration.Builder: Additional parameters for extraction run.
parameters(Map<String, Object>) - Method in class com.workfusion.vds.sdk.run.config.LocalTrainingConfiguration.Builder: Additional parameters for training run.
ParameterSpace - Class in com.workfusion.vds.sdk.api.hpo: HPO Parameter space configuration DTO.
ParameterSpace.Builder - Class in com.workfusion.vds.sdk.api.hpo: Builder class to produce ParameterSpace instances.
ParameterUtils - Class in com.workfusion.vds.sdk.nlp.component.util: Utility class that contains methods for convenient usage of parameters represented as Map.
ParamGridClassifier - Interface in com.workfusion.vds.sdk.api.ml
parseDate(String, LocalDate) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToDateNormalizer
parseInteger(String[]) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToIntegerNormalizer
parseKeywords(CSVParser) - Method in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider: Accept an instance of csv parser for one of the dictionary files and collect a list of keywords from that file.
parseNumber(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrAmountNormalizer
passes(Integer) - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
pattern - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator
pattern - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.TokenAnnotator
pattern - Variable in class com.workfusion.vds.sdk.nlp.component.processing.DateNormalizationPostProcessor
PatternCache - Class in com.workfusion.vds.sdk.nlp.component.annotator: Class to store caching data for Java and Re2J patterns.
PatternCache() - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.PatternCache
PatternReplacerNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: Text normalizer with capability to replace N occurrences of provided pattern to the new string segment.
PatternReplacerNormalizer(Pattern, String, int) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.PatternReplacerNormalizer: Initializes a newly created object of PatternReplacerNormalizer.
PatternReplacerNormalizer(Pattern, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.PatternReplacerNormalizer: Initializes a newly created object of PatternReplacerNormalizer with pattern working in replace-all mode.
patternType - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator
PatternType - Enum in com.workfusion.vds.sdk.nlp.component.annotator: Type of regex pattern.
penalty(PenaltyType) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets the norm used in the penalization.
penalty(PenaltyType) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets the norm used in the penalization.
penalty(PenaltyType) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets the norm used in the penalization.
penalty(PenaltyType) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets the norm used in the penalization.
penaltyCoefficient(double) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets the penaltyCoefficient value.
penaltyCoefficient(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets penalty coefficient of the error term.
penaltyCoefficient(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets penalty coefficient of the error term.
penaltyCoefficientRange(RealMultipliedRange) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorParamGridClassifier.Builder
penaltyCoefficientRange(RealMultipliedRange) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionParamGridClassifier.Builder
penaltyCoefficientsGrid(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets penalty coefficients grid.
PenaltyType - Enum in com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters: The enum Penalty.
PenaltyType - Enum in com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters: The enum Penalty.
PenaltyType - Enum in com.workfusion.vds.sdk.ml.sklearn.sgd.parameters: The enum Penalty.
penaltyTypes(List<PenaltyType>) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorParamGridClassifier.Builder
penaltyTypes(List<PenaltyType>) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionParamGridClassifier.Builder
PipelineConfiguration - Class in com.workfusion.vds.sdk.api.hypermodel.pipeline: Parameters that are used to build a pipeline.
PipelineConfiguration.Builder - Class in com.workfusion.vds.sdk.api.hypermodel.pipeline
pkgResources - Variable in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder: The list of python packages paths in resources directory to unpack on initialization stage.
pkgResources(List<String>) - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder: Set paths to python packages in resources.
Position - Class in com.workfusion.vds.sdk.nlp.component.util: Utility class to define position of some span in text: token, line, block etc.
Position(int, int) - Constructor for class com.workfusion.vds.sdk.nlp.component.util.Position: Create position for given begin and end.
PositionBasedGroupingProcessor - Class in com.workfusion.vds.sdk.nlp.component.processing.grouping: The PositionBasedGroupingProcessor could be applied to documents with tables.
PositionBasedGroupingProcessor() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.grouping.PositionBasedGroupingProcessor
PositionBasedGroupingProcessor(Collection<String>) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.grouping.PositionBasedGroupingProcessor
PositionInCoveringFE<SEARCH extends Element,FOCUS extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe: Gets the index of the focus Element in the covering search Element.
PositionInCoveringFE(Class<FOCUS>, Class<SEARCH>) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.PositionInCoveringFE
power(int) - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier.Builder: Sets the power parameter for the Minkowski metric.
powerT(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets the exponent for inverse scaling learning rate.
precision(double) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ModelEvaluationResult.Builder: Set precision.
predict(Record) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier: Apply the python classifier to the data record.
predict(Record) - Method in interface com.workfusion.vds.sdk.ml.python.PythonClassifier
Prediction - Class in com.workfusion.vds.sdk.api.ml: The type Prediction describes results of the classification for the data set record.
Prediction.Builder - Class in com.workfusion.vds.sdk.api.ml: The type Builder.
PredictionResult - Class in com.workfusion.vds.sdk.api.ml: The type PredictionResult describes the result of the category predict.
PredictionResult.Builder - Class in com.workfusion.vds.sdk.api.ml: The type Builder.
preprocessText(SmartReplacer) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.AhoCorasickDictionaryNerAnnotator
presort(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets whether to presort the data to speed up the finding of best splits in fitting
presort(PresortType) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets whether to presort the data to speed up the finding of best splits in fitting.
presort(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets whether to presort the data to speed up the finding of best splits in fitting.
PresortType - Enum in com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters: The enum Presort type.
PreviousElementSameLineKeywordsMatchFE<SEARCH extends Element,FOCUS extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe: Determines if are keywords matches in the same line in the non-empty Element preceding the current Element covering the focus Line.
PreviousElementSameLineKeywordsMatchFE(Class<SEARCH>, Collection<String>) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.PreviousElementSameLineKeywordsMatchFE
print(Collection<IeDocumentResult>, Path) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIeGoldVsExtractedPrinter
print(Collection<IeDocumentResult>, Path) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter
print(Collection<ClassificationDocumentResult>, Path) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationGoldVsExtractedCSVPrinter
print(Collection<ClassificationDocumentResult>, Path) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationPerLabelCSVPrinter
print(Collection<ClassificationDocumentResult>, Path) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ConfusionMatrixCSVPrinter
print(Collection<IeDocumentResult>, Path, UnaryOperator<Collection<FieldResult>>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedCSVPrinter: Prints FieldResult records into statistics file.
print(Collection<IeDocumentResult>, Path, UnaryOperator<Collection<GroupFieldResult>>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedPerGroupCSVPrinter: Prints GroupFieldResult records into statistics file.
print(Collection<D>, Path) - Method in interface com.workfusion.vds.sdk.nlp.component.statistics.printer.StatisticsPrinter: This method accept a collection of DocumentResult over all dataset to perform some calculation actions and print results into final format.
printChildField(GroupFieldResult, String, CSVPrinter) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedPerGroupCSVPrinter: Prints records about all children for group field.
printer(StatisticsPrinter<O>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.BaseStatisticsCalculator: Add statistic printer.
PrinterUtils - Class in com.workfusion.vds.sdk.nlp.component.util: Utility class for statistics printers.
printField(FieldResult, String, CSVPrinter) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedCSVPrinter: Prints information about one mapped field.
printForAllFields(Collection<IeDocumentResult>, Path, StatisticsEvaluationType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIeGoldVsExtractedPrinter: Prints result statistics into file for all fields.
printForAllFields(Collection<IeDocumentResult>, Path, StatisticsEvaluationType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedCSVPrinter
printForAllFields(Collection<IeDocumentResult>, Path, StatisticsEvaluationType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedPerGroupCSVPrinter
printGroupField(GroupFieldResult, String, CSVPrinter) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedPerGroupCSVPrinter: Prints record about group field.
printLabel(LabelResult, String, CSVPrinter) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationGoldVsExtractedCSVPrinter: Prints label data.
printPerField(Collection<IeDocumentResult>, Path, StatisticsEvaluationType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIeGoldVsExtractedPrinter: Prints result statistics into file per field.
printPerField(Collection<IeDocumentResult>, Path, StatisticsEvaluationType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedCSVPrinter
printPerField(Collection<IeDocumentResult>, Path, StatisticsEvaluationType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.IeGoldVsExtractedPerGroupCSVPrinter
printRecord(Collection<ClassificationDocumentResult>, String, CSVPrinter) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ClassificationPerLabelCSVPrinter: Print label results.
printRecord(Collection<ClassificationDocumentResult>, Set<String>, String, CSVPrinter) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.printer.ConfusionMatrixCSVPrinter: Print label results.
process(T) - Method in interface com.workfusion.vds.sdk.api.nlp.annotator.Annotator: Applies custom logic upon document.
process(T) - Method in interface com.workfusion.vds.sdk.api.nlp.processing.Processor: Applies custom logic upon document.
process(I) - Method in interface com.workfusion.vds.sdk.api.nlp.statistics.StatisticsCalculator: Accepts document to process and produces statistic result for that document.
process(Document) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.EntityBoundaryAnnotator
process(Document) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator
process(Document) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.TokenAnnotator
process(IeDocument) - Method in class com.workfusion.vds.sdk.nlp.component.processing.CheckerModelPostProcessor
process(IeDocument) - Method in class com.workfusion.vds.sdk.nlp.component.processing.DataValueNormalizationProcessor
process(IeDocument) - Method in class com.workfusion.vds.sdk.nlp.component.processing.DateNormalizationPostProcessor
process(IeDocument) - Method in class com.workfusion.vds.sdk.nlp.component.processing.grouping.BaseGroupingProcessor
process(IeDocument) - Method in class com.workfusion.vds.sdk.nlp.component.processing.NormalizerProcessor
process(IeDocument) - Method in class com.workfusion.vds.sdk.nlp.component.processing.SelectedNormalizersProcessor
process(ClassificationDocument) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.ClassificationStatisticsCalculator
process(IeDocument) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.IeStatisticsCalculator
ProcessingException - Exception in com.workfusion.vds.sdk.api.nlp.processing: Thrown to indicate that there is an error due to post-processing.
ProcessingException(Throwable) - Constructor for exception com.workfusion.vds.sdk.api.nlp.processing.ProcessingException
ProcessingException(String) - Constructor for exception com.workfusion.vds.sdk.api.nlp.processing.ProcessingException
ProcessingException(String, Throwable) - Constructor for exception com.workfusion.vds.sdk.api.nlp.processing.ProcessingException
Processor<T extends Document> - Interface in com.workfusion.vds.sdk.api.nlp.processing: The Processor interface represents component that is responsible for quality improvement after machine-learning.
Produces - Annotation Type in com.workfusion.vds.sdk.api.nlp.annotation: Define a list of element types that will be produced by ML-SDK component.
PUNCT_INCLUDED - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration
PunctuationRemoveNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: Text normalizer with capability to replace N occurrences of punctuation marks entry in string.
PunctuationRemoveNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.PunctuationRemoveNormalizer
PythonClassifier - Interface in com.workfusion.vds.sdk.ml.python

Q

quietMode() - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Builder
QUITE_MODE - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants: Quiet mode (no outputs).
QUITE_MODE_ARG - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants

R

R - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter
radiusConstant(double) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets the radiusConstant value.
RandomForestClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.randomforest: The type Random forest classifier.
RandomForestClassifier(RandomForestClassifier.Builder) - Constructor for class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier
RandomForestClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.randomforest: The type Builder.
RandomForestClassifierSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.randomforest: The type Random forest classifier serializer.
RandomForestClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifierSerializer
RandomForestConstants - Class in com.workfusion.vds.sdk.ml.sklearn.randomforest.constant: Constant for RandomForest with Python-based implementation via sklearn.
RandomForestParamGridClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.randomforest: Random forest param grid classifier to select best param values from provided for tuning params.
RandomForestParamGridClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.randomforest
readLocale() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.BaseNumberFormatNormalizer
readResourceDictionary() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.DictionaryBasedNormalizer
reason(ReasonType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.FieldResult.Builder: Set a reason of mapping result.
reason(ReasonType) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.LabelResult.Builder: Set a reason of mapping result.
ReasonType - Enum in com.workfusion.vds.sdk.nlp.component.statistics.model: Reason type of particular mapping ResultType
recall(double) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ModelEvaluationResult.Builder: Set recall.
Record - Class in com.workfusion.vds.sdk.api.ml.dataset: The type Record.
Record.Builder - Class in com.workfusion.vds.sdk.api.ml.dataset: The type Builder.
refit(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets Whether the final refit is needed.
regex - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator
regex - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.TokenAnnotator
regLambda(double) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets the regLambda value.
remove(Element) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Removes element from document.
removeAll() - Method in interface com.workfusion.vds.sdk.api.nlp.model.Document: Removes all elements from document.
removeCurrency(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrAmountNormalizer
removeHtmlSpecialCharacters() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder: Removes from text special html symbols: EntityArrays.HTML40_EXTENDED_ESCAPE() and EntityArrays.ISO8859_1_ESCAPE().
removeNonLetters(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.IsoCurrencyNormalizer
removeNonNumberSymbols(String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrAmountNormalizer
removePunctuation() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder: Removes from text punctuation symbols (for US-ASCII only punctuation marks).
replace(String, String, int) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder: Replaces N-occurrences of source in text to the new value target.
replace(Pattern, String, int) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder: Replace N-occurrences are corresponding to the provided pattern with a new string segment.
replaceAll(String, String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder: Replaces all occurrences of source in a string to the new value target.
replaceAll(Pattern, String) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder: Replace all matches are corresponded to the provided pattern with a new string segment.
required() - Static method in class com.workfusion.vds.sdk.api.hpo.Dimension.Builder: Generate dimension builder for required dimension.
required(String...) - Static method in class com.workfusion.vds.sdk.api.hpo.Dimensions: Produce a required dimension from a set of components referred by theirs ids from Named annotation.
required(Component...) - Static method in class com.workfusion.vds.sdk.api.hpo.Dimensions: Produce a required dimension from a set of components.
resolveFieldName(Field) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldUtils
Resource - Interface in com.workfusion.vds.sdk.api.hypermodel: Interface for a resource descriptor that abstracts from the actual type of underlying resource.
resource - Variable in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider
resource(String, Path) - Method in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder: Adds additional resources to configuration like dictionaries, reference data, etc.
resource(String, Path) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Adds additional resources to configuration like dictionaries, reference data, etc.
resource(String, Path) - Method in class com.workfusion.vds.sdk.run.config.LocalTrainingConfiguration.Builder: Adds additional resources to configuration like dictionaries, reference data, etc.
resources - Variable in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder
resources - Variable in class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration
results(List<PredictionResult>) - Method in class com.workfusion.vds.sdk.api.ml.Prediction.Builder: Sets results.
results(Collection<FieldResult>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.IeDocumentResult.Builder: Add field mapping results
ResultType - Enum in com.workfusion.vds.sdk.nlp.component.statistics.model: Element mapping result types.
resultTypes - Variable in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult.Builder
resultTypes(List<ResultType>) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.ElementResult.Builder: Add result types.
rightContext - Variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModelBase
Row - Interface in com.workfusion.vds.sdk.api.nlp.model: The Row interface represents a row table element.
Row.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
RowBasedGroupingProcessor - Class in com.workfusion.vds.sdk.nlp.component.processing.grouping: The RowBasedGroupingProcessor could be applied to any document.
RowBasedGroupingProcessor() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.grouping.RowBasedGroupingProcessor
RowBasedGroupingProcessor(Collection<String>) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.grouping.RowBasedGroupingProcessor
run(Class<?>, BaseRunnerConfiguration) - Static method in class com.workfusion.vds.sdk.run.ModelRunner: Starts model training/extraction based on provided configuration.

S

sampleWeights(SampleWeightsType) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets sample weights.
sampleWeights(List<Double>) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets list of sample weights for each class type.
SampleWeightsType - Enum in com.workfusion.vds.sdk.ml.dp.bolton.linear.parameters: The Sample weights preset.
save(C, Path) - Method in interface com.workfusion.vds.sdk.api.ml.serialize.ModelSerializer: Save classifier.
save(C, Path) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifierSerializer
save(T, Path) - Static method in class com.workfusion.vds.sdk.util.SerializeUtils: Save classifier.
saveModel(C, Path) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifierSerializer: Save model by bridge.
saveParameters(Map<String, String>, Path) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifierSerializer: Save parameters map.
saveToBridgeMap(T) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifierSerializer
saveToBridgeMap(DpLogisticRegressionClassifier) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression.DpLogisticRegressionClassifierSerializer
saveToBridgeMap(DpSvmClassifier) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.svm.DpSvmClassifierSerializer
saveToBridgeMap(GenericPythonClassifier) - Method in class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifierSerializer
saveToBridgeMap(C) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifierSerializer: Gets classifier parameters as a map for the bridge.
saveToBridgeMap(AdaBoostClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifierSerializer
saveToBridgeMap(BaggingClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifierSerializer
saveToBridgeMap(DecisionTreeClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifierSerializer
saveToBridgeMap(ExtraTreeClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifierSerializer
saveToBridgeMap(ExtraTreesClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifierSerializer
saveToBridgeMap(GradientBoostingClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifierSerializer
saveToBridgeMap(KNeighborsClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifierSerializer
saveToBridgeMap(LinearSupportVectorClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifierSerializer
saveToBridgeMap(LogisticRegressionCV) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCVSerializer
saveToBridgeMap(LogisticRegression) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionSerializer
saveToBridgeMap(MultinomialNaiveBayesClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifierSerializer
saveToBridgeMap(RandomForestClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifierSerializer
saveToBridgeMap(StochasticGradientDescentClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifierSerializer
saveToMap(T) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifierSerializer
saveToMap(DpLogisticRegressionClassifier) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.logisticregression.DpLogisticRegressionClassifierSerializer
saveToMap(DpSvmClassifier) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.svm.DpSvmClassifierSerializer
saveToMap(GenericPythonClassifier) - Method in class com.workfusion.vds.sdk.ml.generic.GenericPythonClassifierSerializer
saveToMap(C) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifierSerializer: Gets classifier parameters as a map.
saveToMap(AdaBoostClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifierSerializer
saveToMap(BaggingClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifierSerializer
saveToMap(DecisionTreeClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifierSerializer
saveToMap(ExtraTreeClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifierSerializer
saveToMap(ExtraTreesClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifierSerializer
saveToMap(GradientBoostingClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifierSerializer
saveToMap(KNeighborsClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifierSerializer
saveToMap(LinearSupportVectorClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifierSerializer
saveToMap(LogisticRegressionCV) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCVSerializer
saveToMap(LogisticRegression) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionSerializer
saveToMap(MultinomialNaiveBayesClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.mnb.MultinomialNaiveBayesClassifierSerializer
saveToMap(RandomForestClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifierSerializer
saveToMap(StochasticGradientDescentClassifier) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifierSerializer
score(BigDecimal) - Method in class com.workfusion.vds.sdk.api.ml.PredictionResult.Builder: Sets category score.
score - Variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.lookup.DictionaryLookup
score(BigDecimal) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField.Builder: Set field score.
score(BigDecimal) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsLabel.Builder: Add score.
scoringFunction(ScoringFunctionType) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets the scoring function.
ScoringFunctionType - Enum in com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters: The enum Scoring function.
SdkException - Exception in com.workfusion.vds.sdk.api.exception: SdkException is the superclass of those exceptions that can be thrown during the ML-SDK operations.
SdkException() - Constructor for exception com.workfusion.vds.sdk.api.exception.SdkException
SdkException(String, Throwable) - Constructor for exception com.workfusion.vds.sdk.api.exception.SdkException
SdkException(String) - Constructor for exception com.workfusion.vds.sdk.api.exception.SdkException
SdkException(Throwable) - Constructor for exception com.workfusion.vds.sdk.api.exception.SdkException
searchClass - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator
seed(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.adaboost.AdaBoostClassifier.Builder: Sets the seed used by the random number generator.
seed(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets the seed used by the random number generator.
seed(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the seed used by the random number generator.
seed(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets the seed used by the random number generator.
seed(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets the seed used by the random number generator.
seed(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the seed used by the random number generator.
seed(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets the seed used by the random number generator.
seed(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets the seed used by the random number generator.
seed(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets the seed used by the random number generator.
seed(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets the seed used by the random number generator.
seed(Integer) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets the seed used by the random number generator.
SelectedNormalizersProcessor - Class in com.workfusion.vds.sdk.nlp.component.processing: The SelectedNormalizersProcessor reads list of normalizers from resource and applies specific chain of normalizers to each field.
SelectedNormalizersProcessor(Resource) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.SelectedNormalizersProcessor
selectOne() - Static method in class com.workfusion.vds.sdk.api.hpo.Dimension.Builder: Generate dimension builder for select one dimension.
selectOne(String...) - Static method in class com.workfusion.vds.sdk.api.hpo.Dimensions: Produce a select one dimension from a set of components referred by theirs ids from Named annotation.
selectOne(Component...) - Static method in class com.workfusion.vds.sdk.api.hpo.Dimensions: Produce a select one dimension from a set of components.
Sentence - Interface in com.workfusion.vds.sdk.api.nlp.model: The Sentence interface represents sentence element in the Document.
Sentence.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
SerializableModel - Annotation Type in com.workfusion.vds.sdk.api.ml.serialize: The annotation to link a model with a serializer.
SerializeUtils - Class in com.workfusion.vds.sdk.util: The set of serialize utils.
setAttribute(String, String) - Method in class com.workfusion.vds.sdk.api.nlp.model.Field.Descriptor
setAttribute(String, String) - Method in class com.workfusion.vds.sdk.api.nlp.model.GoldField.Descriptor
setAttribute(String, String) - Method in class com.workfusion.vds.sdk.api.nlp.model.Tag.Descriptor
setBegin(int) - Method in class com.workfusion.vds.sdk.api.nlp.model.Element.ElementDescriptor
setBottom(int) - Method in class com.workfusion.vds.sdk.api.nlp.model.LayoutBlock.Descriptor
setCaseSensitive(boolean) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.AhoCorasickDictionaryNerAnnotator
setCenturyShift(int) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrDateNormalizer: Deprecated.

Sets century's shift to convert 3- or 2-digit years into 4-digit format.
setCharsetName(String) - Method in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider: Set a character set name that will be used for csv parser.
setColumnIndex(int) - Method in class com.workfusion.vds.sdk.api.nlp.model.Cell.Descriptor
setColumnsToModify(KeywordActionType, int) - Method in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider: Allows modifying of particular columns (toUpperCase, toLowerCase, capitalize).
setConfusionMatrices(List<Map<String, Map<Character, MutableInt>>>) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModelBase
setCsvColumnsToCollect(int...) - Method in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider: Indicates the number of columns in csv document that need to be collected.
setCSVFileFormat(CSVFormat.Predefined) - Method in class com.workfusion.vds.sdk.nlp.component.dictionary.CsvDictionaryKeywordProvider: Allows modifying CSV file format (delimiter may be "," or ";" or " " and etc).
setEnd(int) - Method in class com.workfusion.vds.sdk.api.nlp.model.Element.ElementDescriptor
setEnd(int) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator.ElementDTO
setFirstDayOfMonth(boolean) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrDateNormalizer: Deprecated.
setLeft(int) - Method in class com.workfusion.vds.sdk.api.nlp.model.LayoutBlock.Descriptor
setLeftContext(int) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModelBase
setLineIndex(int) - Method in class com.workfusion.vds.sdk.api.nlp.model.Line.Descriptor
setMandatorySearch(boolean) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator: Set mandatory search flag.
setMonthPriorDay(boolean) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrDateNormalizer: Deprecated.
setName(String) - Method in class com.workfusion.vds.sdk.api.nlp.model.Field.Descriptor
setName(String) - Method in class com.workfusion.vds.sdk.api.nlp.model.GoldField.Descriptor
setName(String) - Method in class com.workfusion.vds.sdk.api.nlp.model.GoldLabel.Descriptor
setName(String) - Method in class com.workfusion.vds.sdk.api.nlp.model.Label.Descriptor
setName(String) - Method in class com.workfusion.vds.sdk.api.nlp.model.MatchingElement.Descriptor
setName(String) - Method in class com.workfusion.vds.sdk.api.nlp.model.Tag.Descriptor
setPageIndex(int) - Method in class com.workfusion.vds.sdk.api.nlp.model.Page.Descriptor
setRight(int) - Method in class com.workfusion.vds.sdk.api.nlp.model.LayoutBlock.Descriptor
setRightContext(int) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.cusip.CusipCorrectionModelBase
setRowIndex(int) - Method in class com.workfusion.vds.sdk.api.nlp.model.Cell.Descriptor
setRowIndex(int) - Method in class com.workfusion.vds.sdk.api.nlp.model.Row.Descriptor
setScore(BigDecimal) - Method in class com.workfusion.vds.sdk.api.nlp.model.Field.Descriptor
setScore(Double) - Method in class com.workfusion.vds.sdk.api.nlp.model.Field.Descriptor
setScore(BigDecimal) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Field: Sets field score.
setScore(BigDecimal) - Method in class com.workfusion.vds.sdk.api.nlp.model.Label.Descriptor
setScore(Double) - Method in class com.workfusion.vds.sdk.api.nlp.model.Label.Descriptor
setScore(double) - Method in class com.workfusion.vds.sdk.api.nlp.model.NamedEntity.Descriptor
setSearchClass(Class<? extends Element>) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator: Set search type.
setStart(int) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator.ElementDTO
setText(String) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseNerAnnotator.ElementDTO
setTop(int) - Method in class com.workfusion.vds.sdk.api.nlp.model.LayoutBlock.Descriptor
setType(String) - Method in class com.workfusion.vds.sdk.api.nlp.model.MatchingElement.Descriptor
setType(String) - Method in class com.workfusion.vds.sdk.api.nlp.model.NamedEntity.Descriptor
setUseWholeMatch(boolean) - Method in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator: Set use whole search flag.
setValue(String) - Method in class com.workfusion.vds.sdk.api.nlp.model.Field.Descriptor
setValue(String) - Method in interface com.workfusion.vds.sdk.api.nlp.model.Field: Sets corrected value.
setValue(String) - Method in class com.workfusion.vds.sdk.api.nlp.model.GoldField.Descriptor
setYearPriorDay(boolean) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatNormalizer
setYearPriorDay(boolean) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.OcrDateNormalizer: Deprecated.
sharedWorkerDir(String) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Cluster shared worker dir.
shuffle(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets whether or not the training data should be shuffled after each epoch.
SimilarityToKeywordsFE<T extends Element> - Class in com.workfusion.vds.sdk.nlp.component.fe: Gets similarity of focus Element to provided keywords.
SimilarityToKeywordsFE(List<String>, boolean) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.SimilarityToKeywordsFE
SimilarityToKeywordsFE(List<String>, SimilarityUtilities.SimilarityType, boolean) - Constructor for class com.workfusion.vds.sdk.nlp.component.fe.SimilarityToKeywordsFE
SkipEqualToGoldValuesFilter<S extends Element,F extends Element,C extends com.workfusion.nlp.automl.chunking.Chunk> - Class in com.workfusion.vds.sdk.nlp.component.filter: Skips focus elements with text the same as in golds.
SkipEqualToGoldValuesFilter(Class<F>, Class<C>) - Constructor for class com.workfusion.vds.sdk.nlp.component.filter.SkipEqualToGoldValuesFilter
solver(LiblinearClassifier.Solver) - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Builder
solver(SolverType) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets the algorithm to use in the optimization problem.
solver(SolverType) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets the algorithm to use in the optimization problem.
SOLVER_TYPE - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants: Type of solver.
SOLVER_TYPE_ARG - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants
SolverType - Enum in com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters: The enum Algorithm to use in the optimization problem.
solverTypes(List<LiblinearClassifier.Solver>) - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearParamGridClassifier.Builder
splitter(SplitterType) - Method in class com.workfusion.vds.sdk.ml.sklearn.decisiontree.DecisionTreeClassifier.Builder: Sets the strategy used to choose the split at each node.
splitter(SplitterType) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratree.ExtraTreeClassifier.Builder: Sets the strategy used to choose the split at each node.
SplitterTokenAnnotator - Class in com.workfusion.vds.sdk.nlp.component.annotator.tokenizer: Tokenizer implementation that splits string text around matches of the given regex.
SplitterTokenAnnotator(Class<? extends Element>, Class<? extends Element>, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.SplitterTokenAnnotator
SplitterTokenAnnotator(Class<? extends Element>, Class<? extends Element>, String, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.SplitterTokenAnnotator
SplitterTokenAnnotator(String, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.SplitterTokenAnnotator
SplitterTokenAnnotator(String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.SplitterTokenAnnotator
SplitterType - Enum in com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters: The enum Splitter type.
SplitterType - Enum in com.workfusion.vds.sdk.ml.sklearn.extratree.parameters: The enum Splitter type.
sshHost(String) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Cluster master node host.
sshKey(String) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Ssh key.
sshKeyPassphrase(String) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Ssh key passphrase.
sshPort(int) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Ssh port.
sshUsername(String) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Ssh username.
StatisticsCalculator - Interface in com.workfusion.vds.sdk.api.nlp.statistics: The StatisticsCalculator interface represents a component that performs statistics calculation.
StatisticsElement - Interface in com.workfusion.vds.sdk.nlp.component.statistics.model: Base interface for statistic DTO of Element
StatisticsEvaluationType - Enum in com.workfusion.vds.sdk.nlp.component.statistics: Supported strategies of statistic evaluation.
StatisticsField - Class in com.workfusion.vds.sdk.nlp.component.statistics.model: DTO to represent one Field or GoldField element from Document.
StatisticsField.Builder - Class in com.workfusion.vds.sdk.nlp.component.statistics.model
StatisticsGroupField - Class in com.workfusion.vds.sdk.nlp.component.statistics.model: DTO to represent group field.
StatisticsGroupField.Builder - Class in com.workfusion.vds.sdk.nlp.component.statistics.model
StatisticsLabel - Class in com.workfusion.vds.sdk.nlp.component.statistics.model: DTO to represent Label or GoldLabel element of classification document.
StatisticsLabel.Builder - Class in com.workfusion.vds.sdk.nlp.component.statistics.model
StatisticsPrinter<D extends DocumentResult> - Interface in com.workfusion.vds.sdk.nlp.component.statistics.printer: StatisticPrinter should be configured in ClassificationStatisticsCalculator or IeStatisticsCalculator to calculate statistic results over all document results and print it into files.
StochasticGradientDescentClassifier - Class in com.workfusion.vds.sdk.ml.sklearn.sgd: The type Stochastic gradient descent classifier.
StochasticGradientDescentClassifier.Builder - Class in com.workfusion.vds.sdk.ml.sklearn.sgd: The type Builder.
StochasticGradientDescentClassifierSerializer - Class in com.workfusion.vds.sdk.ml.sklearn.sgd: The type Stochastic gradient descent classifier serializer.
StochasticGradientDescentClassifierSerializer() - Constructor for class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifierSerializer
StringDictionaryProvider - Class in com.workfusion.vds.sdk.nlp.component.dictionary
StringDictionaryProvider(List<String>) - Constructor for class com.workfusion.vds.sdk.nlp.component.dictionary.StringDictionaryProvider
stringSimilarity - Variable in class com.workfusion.vds.sdk.nlp.component.processing.normalization.lookup.DictionaryLookup
subsample(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets the fraction of samples to be used for fitting the individual base learners.

T

TAB_NUMBER_SEPARATOR_PATTERN - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.IeStatisticsCalculator
Table - Interface in com.workfusion.vds.sdk.api.nlp.model: The Table interface represents a table in the document.
Table.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
tabNumber(Integer) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField.Builder: Add tabnumber.
Tag - Interface in com.workfusion.vds.sdk.api.nlp.model: The Tag interface represents a XML tag element in the document.
Tag.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
TestingUtils - Class in com.workfusion.vds.sdk.nlp.component.util: Utility class to create ML-SDK components or execute annotated methods for testing purpose.
testSetDir - Variable in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder
testSetDir(Path) - Method in class com.workfusion.vds.sdk.run.config.BaseLocalTrainingConfiguration.Builder: Path to directory with test set.
testSetDir - Variable in class com.workfusion.vds.sdk.run.config.BaseRunnerConfiguration
testSetDir(Path) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Path to directory with test set.
testSetDir(Path) - Method in class com.workfusion.vds.sdk.run.config.LocalTrainingConfiguration.Builder: Path to directory with test set.
text(String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField.Builder: Set field text.
TextNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization: Text normalizer which provide most-common text cleaning operations: modify letter-case, replace sub-sequence, etc.
TextNormalizer.Builder - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization
TextToDateNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization
TextToDateNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToDateNormalizer
TextToDateNormalizer(String) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToDateNormalizer
TextToDateNormalizer(LocalDate) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToDateNormalizer
TextToDateNormalizer(String, LocalDate) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToDateNormalizer
TextToIntegerNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization
TextToIntegerNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextToIntegerNormalizer
threadsNumber(int) - Method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration.Builder: Threads number configuration for parallel local model execution.
TN - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter
Token - Interface in com.workfusion.vds.sdk.api.nlp.model: The Token interface represents token element in the Document.
Token.Descriptor - Class in com.workfusion.vds.sdk.api.nlp.model
TokenAnnotator - Class in com.workfusion.vds.sdk.nlp.component.annotator.tokenizer: This abstract class implements tokenization logic.
TokenAnnotator(Class<? extends Element>, Class<? extends Element>, String) - Constructor for class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.TokenAnnotator
tokenType - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.TokenAnnotator
TOLERANCE - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants: Tolerance of termination criterion.
tolerance(double) - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Builder
tolerance(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets the tolerance for stopping criteria.
tolerance(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets the tolerance for stopping criteria.
tolerance(double) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets the tolerance for stopping criteria.
tolerance(Double) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets the tolerance for stopping criteria.
TOLERANCE_ARG - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants
toleranceRange(RealMultipliedRange) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionParamGridClassifier.Builder
toString() - Method in class com.workfusion.vds.sdk.api.ml.dataset.Record
toString() - Method in class com.workfusion.vds.sdk.api.ml.Prediction
toString() - Method in class com.workfusion.vds.sdk.api.ml.PredictionResult
toString() - Method in class com.workfusion.vds.sdk.api.nlp.fe.Feature
toString() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.GroupFieldResult
toString() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField
toString() - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsGroupField
toString() - Method in class com.workfusion.vds.sdk.nlp.component.util.Position
TP - Static variable in class com.workfusion.vds.sdk.nlp.component.statistics.printer.BaseIePerFieldCSVPrinter
trainedModelDir(Path) - Method in class com.workfusion.vds.sdk.run.config.LocalExecutionConfiguration.Builder: Path to directory with trained model.
TrainingSetRequirements - Annotation Type in com.workfusion.vds.sdk.api.hypermodel.annotation: Class-level annotation that is used to define Model training set requirements:
TrainingSetUtils - Class in com.workfusion.vds.sdk.nlp.component.util
trie - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.ner.AhoCorasickDictionaryNerAnnotator
trim() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder: Provides trimming of text.
TrimmerNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: The normalizer removes empty spaces from both text ends.
TrimmerNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.TrimmerNormalizer
txtToCsv(Path, Path) - Static method in class com.workfusion.vds.sdk.nlp.component.util.TrainingSetUtils: Assemble separate txt files into single csv file.
type - Variable in class com.workfusion.vds.sdk.api.hpo.Dimension

U

UNDEFINED_SCORE - Static variable in class com.workfusion.vds.sdk.nlp.component.util.PrinterUtils
upperCase() - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.TextNormalizer.Builder: Provides conversion of text to upper-case.
UpperCaseNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: Text normalizer with capability to modify text to contain only upper-case letters for the specified locale.
UpperCaseNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.UpperCaseNormalizer
UpperCaseNormalizer(Locale) - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.UpperCaseNormalizer
useCache() - Method in class com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.Builder
UseElementsOnlyAroundGoldAndNerFilter<S extends Element,F extends Element,C extends com.workfusion.nlp.automl.chunking.Chunk> - Class in com.workfusion.vds.sdk.nlp.component.filter: Use Elements only around golds and ners with specific types in the defined window.
UseElementsOnlyAroundGoldAndNerFilter(Class<F>, Class<C>, int) - Constructor for class com.workfusion.vds.sdk.nlp.component.filter.UseElementsOnlyAroundGoldAndNerFilter
UseElementsOnlyAroundGoldAndNerFilter(Class<F>, Class<C>, int, Set<String>) - Constructor for class com.workfusion.vds.sdk.nlp.component.filter.UseElementsOnlyAroundGoldAndNerFilter
useWholeMatch - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.ner.BaseRegexNerAnnotator
UsStatesAbbreviationNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: Extension of DictionaryBasedNormalizer to apply the following normalization : replace the name of the US state by its abbreviation.
UsStatesAbbreviationNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.UsStatesAbbreviationNormalizer

V

VALIDATION_MODE - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants: Sets amount of folds for cross validation.
VALIDATION_MODE_ARG - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants
value - Variable in class com.workfusion.vds.sdk.api.nlp.fe.Feature
value(String) - Method in class com.workfusion.vds.sdk.nlp.component.statistics.model.StatisticsField.Builder: Set field value.
VALUE_BASED_EVALUATON - Static variable in class com.workfusion.vds.sdk.model.nlp.generic.GenericPipelineConfiguration
valueOf(String) - Static method in enum com.workfusion.vds.sdk.api.hpo.Dimension.Type: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.api.ml.dataset.DatasetFormatType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.api.nlp.fe.annotation.IndexType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.dp.bolton.linear.parameters.SampleWeightsType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Solver: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.adaboost.parameters.AlgorithmType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.ClassWeightType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.CriterionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.MaxFeaturesType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.SplitterType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.ClassWeightType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.CriterionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.MaxFeaturesType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.SplitterType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.ClassWeightType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.CriterionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.MaxFeaturesType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.CriterionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.LossFunctionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.MaxFeaturesType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.PresortType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.AlgorithmType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.DistanceMetricType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.WeightFunctionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.ClassWeightType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.LossFunctionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.MultiClassType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.PenaltyType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.ClassWeightType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.MultiClassType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.PenaltyType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.ScoringFunctionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.SolverType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.ClassWeightType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.CriterionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.MaxFeaturesType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.ClassWeightType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.LearningRateType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.LossFunctionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.PenaltyType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.LossFunction: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.nlp.component.annotator.PatternType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.nlp.component.dictionary.KeywordActionType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatPriority: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.nlp.component.statistics.model.ReasonType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.nlp.component.statistics.model.ResultType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.workfusion.vds.sdk.nlp.component.statistics.StatisticsEvaluationType: Returns the enum constant of this type with the specified name.
values() - Static method in enum com.workfusion.vds.sdk.api.hpo.Dimension.Type: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.api.ml.dataset.DatasetFormatType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.api.nlp.fe.annotation.IndexType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.dp.bolton.linear.parameters.SampleWeightsType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Solver: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.adaboost.parameters.AlgorithmType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.ClassWeightType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.CriterionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.MaxFeaturesType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.decisiontree.parameters.SplitterType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.ClassWeightType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.CriterionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.MaxFeaturesType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratree.parameters.SplitterType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.ClassWeightType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.CriterionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.extratrees.parameters.MaxFeaturesType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.CriterionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.LossFunctionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.MaxFeaturesType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.gradientboosting.parameters.PresortType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.AlgorithmType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.DistanceMetricType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters.WeightFunctionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.ClassWeightType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.LossFunctionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.MultiClassType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.linearsvc.parameters.PenaltyType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.ClassWeightType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.MultiClassType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.PenaltyType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.ScoringFunctionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.logisticregression.parameters.SolverType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.ClassWeightType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.CriterionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.randomforest.parameters.MaxFeaturesType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.ClassWeightType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.LearningRateType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.LossFunctionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.sklearn.sgd.parameters.PenaltyType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.ml.vw.VowpalWabbitClassifier.LossFunction: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.nlp.component.annotator.PatternType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.nlp.component.dictionary.KeywordActionType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatPriority: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.nlp.component.statistics.model.ReasonType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.nlp.component.statistics.model.ResultType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.workfusion.vds.sdk.nlp.component.statistics.StatisticsEvaluationType: Returns an array containing the constants of this enum type, in the order they are declared.
verbose(int) - Method in class com.workfusion.vds.sdk.ml.dp.bolton.linear.BaseDpLinearClassifier.Builder: Sets verbose level.
verbose(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets whether verbose mode is used.
verbose(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets whether verbose mode is used.
verbose(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets whether verbose mode is used.
verbose(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.linearsvc.LinearSupportVectorClassifier.Builder: Sets whether verbose mode is used.
verbose(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets whether verbose mode is used.
verbose(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegressionCV.Builder: Sets whether verbose mode is used.
verbose(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets whether warm start is used.
verbose(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets whether verbose mode is used.
VowpalWabbitClassifier - Class in com.workfusion.vds.sdk.ml.vw: Class to store possible training arguments for Vowpal Wabbit.
VowpalWabbitClassifier.Builder - Class in com.workfusion.vds.sdk.ml.vw
VowpalWabbitClassifier.LossFunction - Enum in com.workfusion.vds.sdk.ml.vw

W

warmStart(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.bagging.BaggingClassifier.Builder: Sets whether warm start is used.
warmStart(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.extratrees.ExtraTreesClassifier.Builder: Sets whether warm start is used.
warmStart(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.gradientboosting.GradientBoostingClassifier.Builder: Sets whether warm start is used.
warmStart(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.logisticregression.LogisticRegression.Builder: Sets whether warm start is used.
warmStart(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.randomforest.RandomForestClassifier.Builder: Sets whether warm start is used.
warmStart(boolean) - Method in class com.workfusion.vds.sdk.ml.sklearn.sgd.StochasticGradientDescentClassifier.Builder: Sets whether warm start is used.
WEIGHT - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants: Defines weights of classes for training algorithm.
weight(String, double) - Method in class com.workfusion.vds.sdk.ml.liblinear.LiblinearClassifier.Builder
WEIGHT_ARG - Static variable in class com.workfusion.vds.sdk.ml.liblinear.constant.LiblinearConstants
weightFunction(WeightFunctionType) - Method in class com.workfusion.vds.sdk.ml.sklearn.kneighbors.KNeighborsClassifier.Builder: Sets the weight function used in prediction.
WeightFunctionType - Enum in com.workfusion.vds.sdk.ml.sklearn.kneighbors.parameters: The enum Weight function used in prediction.
WhitespaceNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: Text normalizer with capability to replace N occurrences of any whitespace symbol.
WhitespaceNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.WhitespaceNormalizer
WhitespaceRemoveNormalizer - Class in com.workfusion.vds.sdk.nlp.component.processing.normalization.text: Text normalizer with capability to remove all whitespace symbol.
WhitespaceRemoveNormalizer() - Constructor for class com.workfusion.vds.sdk.nlp.component.processing.normalization.text.WhitespaceRemoveNormalizer
windowType - Variable in class com.workfusion.vds.sdk.nlp.component.annotator.tokenizer.TokenAnnotator
workingDir - Variable in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder: The working directory of the classifier.
workingDir(Path) - Method in class com.workfusion.automl.ml.python.BasePythonFeaturesExtractor.Builder: Set a working directory.
workingDir - Variable in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier.Builder: The working directory of the classifier.
workingDir(Path) - Method in class com.workfusion.vds.sdk.ml.python.BasePythonClassifier.Builder: Set a working directory.
workingDir(String) - Method in class com.workfusion.vds.sdk.run.config.ClusterTrainingConfiguration.Builder: Cluster working dir.
wrapIntoIE(List<FieldInfo>) - Static method in class com.workfusion.vds.sdk.nlp.component.util.FieldInfoUtils: Wraps provided FieldInfos into IE field.

Y

yearPriorDay(boolean) - Method in class com.workfusion.vds.sdk.nlp.component.processing.normalization.DateFormatNormalizer.Builder

A B C D E F G H I J K L M N O P Q R S T U V W Y