Index (TIBCO Patterns Learn Library Documentation)

A B C D E F G H I L M N O P Q R S T U V W
All Classes All Packages

A

AbstractQlt<T extends com.tibco.patterns.learn.jaxb.model.SearchQueryBaseType> - Class in com.tibco.patterns.learn.api.feature: Stores a single querylet in an XML structure.
add(VectorExample) - Method in class com.tibco.patterns.learn.training.VectorExperiment: Randomly adds the example to one of the datasets, preserving dataset proportions.
add(T) - Method in class com.tibco.patterns.learn.training.RLinkDataSet: Adds the given example to this dataset.
addFeature(Feature<?>) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Adds the newFeature (of any type) to the feature query.
addFeature(String, AbstractQlt<?>) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Creates a new generic feature and adds it to the feature query.
AddPairsResult - Class in com.tibco.patterns.learn.api.project: Contains sets of pairs that were added to each dataset, and collections of pairs that were not added to the project for various reasons.
AddPairsResult() - Constructor for class com.tibco.patterns.learn.api.project.AddPairsResult: Creates object with empty collections of pairs.
addPrediction(RLinkOut, boolean) - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult: Updates all stored statistics based on the additional model prediction.
addRecPair(RecPair) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Adds a new record pair randomly to the training or validation dataset of the active model.
addRecPair(RecPair, DataPartition) - Method in class com.tibco.patterns.learn.api.project.AddPairsResult: Remembers the pair that was added to the given partition.
addRecPair(RecPair, DataPartition) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Adds a new record pair to the specified dataset of the active model.
addRecPairsFromCsv(File) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Adds all record pairs from the specified CSV file to the active model settings.
addThesFile(String) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Adds the thesaurus file to the "thesauri subdirectory of the active model's directory, overwriting any previous file with same name.
addToOverflow(RecPair) - Method in class com.tibco.patterns.learn.api.project.AddPairsResult: Remembers the pair that did not fit within the max size of the Reserve dataset.
addToReserveOrOverflow(List<RecPair>, ModelSettings, int, String, Date) - Method in class com.tibco.patterns.learn.api.project.AddPairsResult: Adds given pairs to the Reserve dataset, or to the overflow list if the size of the Reserve dataset exceeds the maximum.
addToUsedDataset(RecPair, ModelSettings, DataPartition, String, Date) - Method in class com.tibco.patterns.learn.api.project.AddPairsResult: Adds or moves the record pair to a dataset used for training in msDest.
addUsefulRecPairs(DatasetStats, ModelSettings, DataPartition, int, int, String, Date, AddPairsResult) - Method in class com.tibco.patterns.learn.api.hint.SubsetLabelPairMap: Add pairs for each subset in this object, using statistics for each label in the same subset in Training dataset.
addUsefulRecPairs(List<RecPair>, int, int) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Adds each record pair if it is likely to improve model training while limiting the grwth of datasets.
ALL - com.tibco.patterns.learn.rlink.RLink.SubsetTrainMode: Train all subsets with generated examples
annealRate(double) - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig: Sets the annealing rate which defines the speed of learning rate decrease with each training iteration.
ARRAY - com.tibco.patterns.learn.rlink.RLink.ThermometerType: Array-based thermometer (default).
asChar() - Method in enum com.tibco.patterns.learn.api.project.RecPair.Label
asChar(RecPair.Label) - Static method in enum com.tibco.patterns.learn.api.project.RecPair.Label
asJavaCode(String, String, String) - Method in class com.tibco.patterns.learn.api.feature.CognateQlt
asJavaCode(String, String, String) - Method in class com.tibco.patterns.learn.api.feature.DateQlt
asJavaCode(String, String, String) - Method in class com.tibco.patterns.learn.api.feature.PredicateQlt: Builds the predicate query Java source using the predicate expression string.
asJavaCode(String, String, String) - Method in interface com.tibco.patterns.learn.api.feature.Querylet: Converts the querylet to a Java code string.
asJavaCode(String, String, String) - Method in class com.tibco.patterns.learn.api.feature.SimpleQlt
asXmlLabel() - Method in enum com.tibco.patterns.learn.api.project.RecPair.Label

B

beforeFeatureChange() - Method in interface com.tibco.patterns.learn.api.feature.FeatureListener: This method is called when any change that may impact feature scores occurs in the feature query.
beforeFeatureChange() - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Called by FeatureQuery before a feature is added, deleted, replaced.
beginIteration() - Method in class com.tibco.patterns.learn.training.COErrorRate: Remembers result of previous iteration, prepares to accumulate results for the current iteration.
beginIteration() - Method in class com.tibco.patterns.learn.training.COIterationCount: Counts an additional iteration, switches object state.
beginIteration() - Method in class com.tibco.patterns.learn.training.COScoreChange: Prepares to accumulate statistics for a new training iteration.
beginIteration() - Method in interface com.tibco.patterns.learn.training.TrainingObserver: Resets internal state to prepare for a new iteration of evaluating the entire dataset.
beginIteration(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Must be called before each training iteration with the entire training dataset.
beginTraining(ConvergenceObserver, ConvergenceObserver) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Creates model using the model configuration from modelTrainConfig.xml file, or the default configuration if that file is not in the project directory.
beginTraining(ConvergenceObserver, ConvergenceObserver, ModelConfig) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Creates model and prepares training structures to start step-by-step training.
bestRes - Variable in class com.tibco.patterns.learn.training.COErrorRateMin
bools() - Static method in enum com.tibco.patterns.learn.api.project.RecPair.Label
build() - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig: Creates an RLink model using the parameters stored in this object.
build(int) - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig: Creates an RLink model using the parameters stored in this object and the given number of features.

C

calcAllFeatureScores() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Creates a new record pair scorer and recalculates feature scores for pairs in datasets used for model creation and training in ModelSettings.
calcAndScore(RecPairScorer) - Method in class com.tibco.patterns.learn.api.project.RecPair: Calculates the symmetric match score of using all feature querylets (that compute symmetric querylet scores) combined with an AND score combiner.
calcAndScore(List<String>, List<String>) - Method in class com.tibco.patterns.learn.recpair.RecPairScorer: Calculates symmetric match score for the given pair of records using all feature querylets (that compute symmetric querylet scores) combined with an AND score combiner.
calcDatasetResult(DataPartition, double) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Calculates statistics for custom threshold from model predictions stored in one dataset.
calcDatasetSubsets(FeatureQuery, RecPairMap, DataPartition, boolean) - Static method in class com.tibco.patterns.learn.api.hint.DatasetStats: Finds all subsets present in the specified dataset.
calcFeatureScores(RecPair) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Calculates symmetric feature scores and saves them in the given pair.
calcFeatureScores(RecPairScorer) - Method in class com.tibco.patterns.learn.api.project.RecPair: Calculates and saves symmetric feature scores in this object.
calcFeatureScores(List<RecPair>) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Calculates symmetric feature scores for each pair and saves them in the given RecPair objects.
calcMissingFeatureScores() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Calculates any missing feature scores in datasets used for model creation and training, stores them in ModelSettings.
calcQltScore(String, int, RecPairScorer) - Method in class com.tibco.patterns.learn.api.project.RecPair: Calculates score of a single querylet of the given feature.
calcQltScore(String, int, List<String>, List<String>) - Method in class com.tibco.patterns.learn.recpair.RecPairScorer: Calculates score of a single querylet of the given feature.
calcTableSubsets(FeatureQuery, ModelTrainer) - Static method in class com.tibco.patterns.learn.api.hint.HintAddUntrainedInTable: Determines the Rlink subset of each table record (for the given feature query) and adds subset to family.
clear() - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Deletes all features and the list of used thesauri.
clearPredictions() - Method in class com.tibco.patterns.learn.training.RLinkDataSet: Clears stored predictions from all examples.
clearPredictions() - Method in class com.tibco.patterns.learn.training.RLinkExperiment: Clears stored predictions from all examples in both datasets.
clearRecPairs() - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Deletes all record pairs from all datasets.
clearRecPairs(DataPartition) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Deletes all record pairs from the specified dataset.
clone() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult: Performs shallow copy of all simple types.
close() - Method in class com.tibco.patterns.learn.recpair.RecPairScorer: Deletes thesauri and model (if it exists) from server.
close(boolean) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Closes scorer if it was created - deletes thesauri and model (if loaded) from server.
COErrorRate - Class in com.tibco.patterns.learn.training: Stops the training when the error rate over validation dataset during the last iteration is below the given threshold.
COErrorRate() - Constructor for class com.tibco.patterns.learn.training.COErrorRate: Creates object with default target error rate and max iterations.
COErrorRate(double, int) - Constructor for class com.tibco.patterns.learn.training.COErrorRate: Creates object with specified parameters.
COErrorRate.IterationResult - Class in com.tibco.patterns.learn.training: Stores statistics for a full or partial training iteration
COErrorRateMin - Class in com.tibco.patterns.learn.training: Stops the training after a minimum error rate for the validation dataset was found and this result was not improved during the specified number of subsequent iterations.
COErrorRateMin(COErrorRate) - Constructor for class com.tibco.patterns.learn.training.COErrorRateMin: Creates object with default parameters.
COErrorRateMin(COErrorRate, int) - Constructor for class com.tibco.patterns.learn.training.COErrorRateMin: Creates object with specified parameters.
CognateQlt - Class in com.tibco.patterns.learn.api.feature: A Cognate querylet for matching several related text fields where values may be entered into a wrong field.
CognateQlt(int[], double[], double, List<String>) - Constructor for class com.tibco.patterns.learn.api.feature.CognateQlt: Creates cognate querylet with given parameters.
CognateQlt(int[], double, List<String>) - Constructor for class com.tibco.patterns.learn.api.feature.CognateQlt: Default field weights 1.0 are used.
COIterationCount - Class in com.tibco.patterns.learn.training: A simple class that counts iterations and stops training after the given maximum number of iterations has been reached.
COIterationCount() - Constructor for class com.tibco.patterns.learn.training.COIterationCount: Uses the default maximum number of iterations.
COIterationCount(int) - Constructor for class com.tibco.patterns.learn.training.COIterationCount: Creates object with the given max iterations.
com.tibco.patterns.learn.api.autopair - package com.tibco.patterns.learn.api.autopair: Contains functionality for finding and generating new record pairs automatically.
com.tibco.patterns.learn.api.feature - package com.tibco.patterns.learn.api.feature: Manages feature query, features and querylets that are stored in Patterns Learn model.xml file.
com.tibco.patterns.learn.api.hint - package com.tibco.patterns.learn.api.hint: Generation of all types of model training suggestions, filtering of data table for a specific subset in a suggestion, analysis of datasets by subset and label.
com.tibco.patterns.learn.api.project - package com.tibco.patterns.learn.api.project: The main package to support Patterns Learn projects and automated model training.
com.tibco.patterns.learn.modelconfig - package com.tibco.patterns.learn.modelconfig: Configuration and options for creating and using Learn models.
com.tibco.patterns.learn.recpair - package com.tibco.patterns.learn.recpair: Management of datasets of record pairs, calculation of feature scores for record pairs.
com.tibco.patterns.learn.rlink - package com.tibco.patterns.learn.rlink: Creation, loading and saving of RLink models; model training and evaluation using individual feature vectors.
com.tibco.patterns.learn.training - package com.tibco.patterns.learn.training: Functionality to train, validate, monitor statistics and stop the training of RLink models using datasets of feature vectors.
COMBINED - com.tibco.patterns.learn.api.feature.Thesaurus.Type: Combined thesaurus.
compare(RecPair, RecPair) - Method in class com.tibco.patterns.learn.api.project.RecPair.ConfScoreComparator
compareTo(RecPairId) - Method in class com.tibco.patterns.learn.recpair.RecPairId: Compares the two keys.
ConfDefault - Class in com.tibco.patterns.learn.rlink: Settings for the default model confidence measure.
ConfDefault() - Constructor for class com.tibco.patterns.learn.rlink.ConfDefault
ConfFeature - Class in com.tibco.patterns.learn.rlink: Feature based confidence measure.
ConfFeature() - Constructor for class com.tibco.patterns.learn.rlink.ConfFeature: Create an instance with default values.
ConfFeature(int, double) - Constructor for class com.tibco.patterns.learn.rlink.ConfFeature: Create an instance with specific parameter values.
Confidence - Interface in com.tibco.patterns.learn.rlink: Defines a confidence measure and its options.
CONFIDENCE_ORDER - Static variable in class com.tibco.patterns.learn.api.project.RecPair: Provides ascending order by prediction confidence.
ConfNone - Class in com.tibco.patterns.learn.rlink: Turns off calculation of a confidence measure.
ConfNone() - Constructor for class com.tibco.patterns.learn.rlink.ConfNone
ConfQFeature - Class in com.tibco.patterns.learn.modelconfig: Extends the ConfFeature class to provide means to configure a NetricsQuery.
ConfQFeature() - Constructor for class com.tibco.patterns.learn.modelconfig.ConfQFeature: Create an instance with default values.
ConfQFeature(int, double) - Constructor for class com.tibco.patterns.learn.modelconfig.ConfQFeature: Create an instance with specific parameter values.
ConfQNone - Class in com.tibco.patterns.learn.modelconfig: Extends the ConfNone class to provide means to configure a NetricsQuery.
ConfQNone() - Constructor for class com.tibco.patterns.learn.modelconfig.ConfQNone
ConfQuery - Interface in com.tibco.patterns.learn.modelconfig: Defines a confidence measure that can be used in a Patterns server RLink query.
ConfRatio - Class in com.tibco.patterns.learn.rlink: Weighted true/false ratio confidence measure.
ConfRatio() - Constructor for class com.tibco.patterns.learn.rlink.ConfRatio: Create an instance with default values.
ConfRatio(int) - Constructor for class com.tibco.patterns.learn.rlink.ConfRatio: Create an instance with specific parameter values.
ConfRatioLabel - Class in com.tibco.patterns.learn.rlink: Label based confidence measure.
ConfRatioLabel() - Constructor for class com.tibco.patterns.learn.rlink.ConfRatioLabel: Create an instance with default values.
ConfRatioLabel(int, double, double) - Constructor for class com.tibco.patterns.learn.rlink.ConfRatioLabel: Create an instance with specific parameter values.
ConfScoreComparator(double, double) - Constructor for class com.tibco.patterns.learn.api.project.RecPair.ConfScoreComparator: Creates a ConfScoreComparator with given parameters.
ConfStats - Class in com.tibco.patterns.learn.rlink: Confidence measure based on submodel statistics.
ConfStats() - Constructor for class com.tibco.patterns.learn.rlink.ConfStats: Create an instance with default values.
ConfStats(int, double) - Constructor for class com.tibco.patterns.learn.rlink.ConfStats: Create an instance with specific parameter values.
contains(RecPairId) - Method in class com.tibco.patterns.learn.api.project.RecPairMap: Checks if the given ID is already in any dataset.
ConvergenceObserver - Interface in com.tibco.patterns.learn.training: Defines an object that makes decisions when to stop the training.
copy() - Method in class com.tibco.patterns.learn.modelconfig.STAll
copy() - Method in class com.tibco.patterns.learn.modelconfig.STDynamic
copy() - Method in class com.tibco.patterns.learn.modelconfig.STFixed
copy() - Method in class com.tibco.patterns.learn.modelconfig.STNone
copy() - Method in class com.tibco.patterns.learn.modelconfig.STTaper
copy() - Method in class com.tibco.patterns.learn.modelconfig.SubsetTrainConfig: Copies this object to a new object.
copyModelResultsToXml(List<RecPairType>, List<RecPairType>, ObjectFactory) - Method in class com.tibco.patterns.learn.recpair.RecPairExperiment: Copies RLink predictions for all examples to XML datasets.
correctPrediction() - Method in class com.tibco.patterns.learn.api.project.RecPair
correctPrediction() - Method in class com.tibco.patterns.learn.training.VectorExample: Checks if the RLink prediction is correct.
correctPrediction(boolean) - Method in class com.tibco.patterns.learn.rlink.RLinkOut
correctPrediction(boolean, double) - Method in class com.tibco.patterns.learn.rlink.RLinkOut: Do not use custom thresholds for model training!
COScoreChange - Class in com.tibco.patterns.learn.training: Stops the training when the maximum change in prediction scores compared with the previous iteration is below the given threshold.
COScoreChange() - Constructor for class com.tibco.patterns.learn.training.COScoreChange: Creates object with default parameters.
COScoreChange(double, int, int) - Constructor for class com.tibco.patterns.learn.training.COScoreChange: Creates the object with given parameters.
create(FeatureQuery, DatasetStats, RecPair.Label, double) - Static method in class com.tibco.patterns.learn.api.hint.HintAddLabel: Creates a hint object with all subsets where the proportion of pairs with the given label is lower than minProportion.
create(FeatureQuery, SubsetFamily, double, int) - Static method in class com.tibco.patterns.learn.api.hint.HintAddUnderrepr: Creates a hint object with all underrepresented subsets, selecting them from subsets in training dataset.
create(RecPairMap) - Static method in class com.tibco.patterns.learn.api.hint.HintReviewContra: Creates a hint that holds pairs that have contradicting pairs.
create(RecPairMap, double) - Static method in class com.tibco.patterns.learn.api.hint.HintReviewMislabeled: Creates a hint that holds possibly mislabeled pairs.
create(RLink.SubsetTrainMode) - Static method in class com.tibco.patterns.learn.modelconfig.SubsetTrainConfig: Creates a SubsetTrainConfig object of an appropriate subclass that corresponds to the given mode and uses default parameters.
create(String, String) - Static method in class com.tibco.patterns.learn.api.project.ProjectFiles: Creates a new project.
create(Map<DataPartition, SubsetFamily>) - Static method in class com.tibco.patterns.learn.api.hint.HintAddUntrained: Creates a hint object with all subsets that are in validation, but not in training dataset.
create(Map<DataPartition, SubsetFamily>, SubsetFamily) - Static method in class com.tibco.patterns.learn.api.hint.HintAddUntrainedInTable: Creates a hint object with all subsets that are not in any dataset, but are found in the data table.
createCO(Partition, COErrorRate) - Method in class com.tibco.patterns.learn.api.project.ModelTrainConfig: Creates convergence observer for the given partition.
createDataSet() - Method in class com.tibco.patterns.learn.recpair.RecPairSet
createDataSet() - Method in class com.tibco.patterns.learn.training.RLinkDataSet
createDataSet() - Method in class com.tibco.patterns.learn.training.VectorSet
createDftCO(COErrorRate) - Method in enum com.tibco.patterns.learn.training.Partition
createDftObservers() - Static method in class com.tibco.patterns.learn.api.project.ModelTrainConfig: Creates default observers for both datasets (COErrorRate and COErrorRateMin).
createExperiment() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Calculates any missing feature scores in datasets used for model creation and training, saves them to ModelSettings.
createLowConfPairFinder() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Creates and stores an object that finds low confidence pairs in the data table.
createModel(int, double, double, int, RLink.ThermometerType, int, int[]) - Static method in class com.tibco.patterns.learn.rlink.RLink: Creates a new untrained RLink model.
createModelConfig() - Method in class com.tibco.patterns.learn.api.project.ModelTrainConfig: Reads ModelConfig from file.
createModelTrainConfig(ModelConfig, Boolean, Map<Partition, ConvergenceObserver>) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Creates and remembers a new ModelTrainConfig, replacing any previous one.
createObservers() - Method in class com.tibco.patterns.learn.api.project.ModelTrainConfig: Creates observers for both datasets.
createObservers() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Creates convergence observers from modelTrainConfig.xml file, or creates default observers (COErrorRate and COErrorRateMin) if that file is not in the project directory.
createOnServer(NetricsServerInterface, String, Path) - Method in class com.tibco.patterns.learn.api.feature.Thesaurus: Creates the thesaurus of the appropriate type on the Patterns server.
createScorer(NetricsServerInterface) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Creates a RecPairScorer that can be used only for scoring any record pairs with known field values.
createTrainCO() - Method in class com.tibco.patterns.learn.training.COErrorRateMin: Creates a COErrorRate object for the training dataset to be used for retraining the model with the exact best number of iterations.
createTrainedModelHints() - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Creates hints that depend on model training results.
createTrainer(NetricsServerInterface) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Creates a ModelTrainer for training the active model.
createVldCO() - Method in class com.tibco.patterns.learn.training.COErrorRateMin: Creates a COErrorRate object for the validation dataset to be used for retraining the model with the exact best number of iterations.
currRes - Variable in class com.tibco.patterns.learn.training.COErrorRate

D

DataPartition - Enum in com.tibco.patterns.learn.api.project: Defines the type of a dataset: Training, Validation, Test, Reserve, Low Confidence, False Subsets.
DatasetResult - Class in com.tibco.patterns.learn.api.project: Stores model training results for one dataset.
DatasetResult(COErrorRate.IterationResult) - Constructor for class com.tibco.patterns.learn.api.project.DatasetResult: Copies information from given IterationResult to this object.
datasetSize(DataPartition) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer
DatasetStats - Class in com.tibco.patterns.learn.api.hint: Stores statistics about existing pairs in a dataset, grouped by subset: the number of pairs with each label and the total number of labeled pairs.
DatasetStats(FeatureQuery, RecPairMap, DataPartition) - Constructor for class com.tibco.patterns.learn.api.hint.DatasetStats: Calculates and stores all dataset statistics for the given dataset.
DateQlt - Class in com.tibco.patterns.learn.api.feature: A Date querylet for comparing the similarity of date values.
DateQlt(int, List<String>) - Constructor for class com.tibco.patterns.learn.api.feature.DateQlt: Creates date querylet with given parameters.
deleteModel(int) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Deletes the non-active model specified by index.
deleteTable() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Deletes the loaded table from server, if it is found on the server.
deleteTrainedModel() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Deletes binary file of the trained model.
destroyModels() - Static method in class com.tibco.patterns.learn.rlink.RLink: Destroys all RLink models created by the RLink static methods.
DYNAMIC - com.tibco.patterns.learn.rlink.RLink.SubsetTrainMode: Train subsets and supersets, restricted by score limits

E

EMPTY_SCORE - Static variable in class com.tibco.patterns.learn.rlink.RLink: The value -1 used for the empty feature score (when it cannot be calculated).
endIteration() - Method in class com.tibco.patterns.learn.training.COErrorRate: If printing is set up, prints results of this iteration.
endIteration() - Method in class com.tibco.patterns.learn.training.COErrorRateMin: If the last iteration was the best, then remembers its results.
endIteration() - Method in class com.tibco.patterns.learn.training.COIterationCount: Only switches object state.
endIteration() - Method in class com.tibco.patterns.learn.training.COScoreChange: If printing is enabled, outputs the maximum score change of the iteration that has just ended.
endIteration() - Method in interface com.tibco.patterns.learn.training.TrainingObserver: Any actions that need to be performed after evaluating the dataset.
endIteration(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Must be called after each training iteration with the entire training dataset.
equals(Object) - Method in class com.tibco.patterns.learn.api.feature.Thesaurus
equals(Object) - Method in class com.tibco.patterns.learn.api.project.RecPair
equals(Object) - Method in class com.tibco.patterns.learn.recpair.RecPairId: If the two keys are swapped, the record pairs are still equal.
errorRate() - Method in class com.tibco.patterns.learn.api.project.DatasetResult
errorRate() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
evaluate(DataPartition, TrainingObserver) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Evaluates the existing model using examples from specified partition in the existing experiment.
evaluate(ModelSettings, DataPartition, TrainingObserver) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Evaluates the existing model with the specified dataset loaded from another ModelSettings object (pairSource).
evaluate(RLinkDataSet<? extends VectorExample>, TrainingObserver) - Method in class com.tibco.patterns.learn.training.Trainer: Calculates RLink predictions and evaluates them for the given examples.
evaluateAll(ModelSettings, TrainingObserver) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Evaluates the existing model with record pairs in datasets used for training loaded from another ModelSettings object (pairSource).
evaluateAll(TrainingObserver) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Evaluates the existing model using examples from both datasets in the existing experiment.
evaluateCsv(String, TrainingObserver) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Loads record pairs from the CSV file and evaluates them.
evaluateErrorRate(RLinkDataSet<? extends VectorExample>) - Method in class com.tibco.patterns.learn.training.Trainer: Convenience method that creates and uses COErrorRate to evaluate given examples.
evaluatePrediction(VectorExample) - Method in class com.tibco.patterns.learn.training.COErrorRate: Updates statistics for the current training iteration.
evaluatePrediction(VectorExample) - Method in class com.tibco.patterns.learn.training.COIterationCount: Does nothing.
evaluatePrediction(VectorExample) - Method in class com.tibco.patterns.learn.training.COScoreChange: Updates the current maximum score change based on the prediction score for the given example.
evaluatePrediction(VectorExample) - Method in interface com.tibco.patterns.learn.training.TrainingObserver: Interprets or accumulates prediction result of a single feature vector Called once for each feature vector in the dataset
examples - Variable in class com.tibco.patterns.learn.training.RLinkDataSet: Stores all examples for this dataset
exportModelAndQuery(int, Path, String, Path, String, String) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Exports all files needed to use the trained model on the Patterns server: the trained model binary file, Java source file that builds the Learn query, and any thesaurus files used by the query.
exportThesFiles(Path) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Exports all thesaurus files used by the feature query of the active model.
exportTrainedModel(Path) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Exports the trained model binary file with model score threshold.
exportTrainedModel(Path, String) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Exports the trained model binary file from the active ModelSettings to the given location.

F

FALSE - com.tibco.patterns.learn.api.project.RecPair.Label: A False label - records do not match.
falseNegRate() - Method in class com.tibco.patterns.learn.api.project.DatasetResult
falseNegRate() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
falsePosRate() - Method in class com.tibco.patterns.learn.api.project.DatasetResult
falsePosRate() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
falseSubsets(int[]) - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig: Sets the always false subsets.
Feature<T extends com.tibco.patterns.learn.jaxb.model.FeatureType> - Class in com.tibco.patterns.learn.api.feature: A user-defined feature composed of one or more querylets.
FeatureListener - Interface in com.tibco.patterns.learn.api.feature: Classes implementing this interface receive notifications when feature query changes.
FeatureQuery - Class in com.tibco.patterns.learn.api.feature: Supports a feature query that can contain all types of features.
FeatureQuery(List<String>, FeatureListener) - Constructor for class com.tibco.patterns.learn.api.feature.FeatureQuery: Creates an empty feature query.
FeatureQuery(List<String>, Model.Features, FeatureListener) - Constructor for class com.tibco.patterns.learn.api.feature.FeatureQuery: Creates the feature query and all querylets read from the xmlFeatures.
featureValuesSimilar(RecPair, double) - Method in class com.tibco.patterns.learn.api.project.RecPair: Calculates whether the feature values in two pairs are similar.
FeatureVector - Class in com.tibco.patterns.learn.training: Stores a feature vector that can be predicted by a Learn model.
FeatureVector(double[]) - Constructor for class com.tibco.patterns.learn.training.FeatureVector: Creates the feature vector.
FieldStats - Class in com.tibco.patterns.learn.api.project: Stores statistics for one table field.
FieldStats() - Constructor for class com.tibco.patterns.learn.api.project.FieldStats: Creates a blank object.
FieldStats(FileFieldType) - Constructor for class com.tibco.patterns.learn.api.project.FieldStats: Copies information from the XML field to this object
finalize() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Provided for safety, but client code must call close() explicitly.
finalize() - Method in class com.tibco.patterns.learn.recpair.RecPairScorer: Provided for safety, but client code must call RecPairScorer.close() explicitly.
firstRecBatch() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Prepares the server table for iteration over all records.
firstRecBatch(int, String) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Prepares the server table for iteration over records using specific options.
FIXED - com.tibco.patterns.learn.rlink.RLink.SubsetTrainMode: Train up to fixed depth of subsets, defined by percentage of missing info
fromBool(boolean) - Static method in enum com.tibco.patterns.learn.api.project.RecPair.Label
fromInt(int) - Static method in enum com.tibco.patterns.learn.rlink.RLink.SubsetTrainMode
fromInt(int) - Static method in enum com.tibco.patterns.learn.rlink.RLink.ThermometerType: Converts the given integer constant to the enum.
fromString(String) - Static method in enum com.tibco.patterns.learn.api.feature.Thesaurus.Type
fromXml(RecPairLabelType) - Static method in enum com.tibco.patterns.learn.api.project.RecPair.Label
FSUBSETS - com.tibco.patterns.learn.api.project.DataPartition: Dataset of always false subsets.

G

GenderFeature - Class in com.tibco.patterns.learn.api.feature: A feature with 2 predicate querylets that mean: both records are male; both records are female.
GenderFeature(String, int, List<String>, List<String>, List<String>) - Constructor for class com.tibco.patterns.learn.api.feature.GenderFeature: Creates a new feature for the given gender field
generateXml(Model.Features) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Fills the given XML type with the user-defined features and thesauri that are stored in this FeatureQuery.
GenericFeature - Class in com.tibco.patterns.learn.api.feature: A generic feature that has a single querylet of any type.
GenericFeature(String, AbstractQlt<?>) - Constructor for class com.tibco.patterns.learn.api.feature.GenericFeature: Creates a generic feature with a single querylet.
get(DataPartition, int) - Method in class com.tibco.patterns.learn.api.project.RecPairMap: Get the XML representation of the pair.
get(RecPairId) - Method in class com.tibco.patterns.learn.api.project.RecPairMap
getAbbr() - Method in enum com.tibco.patterns.learn.api.project.DataPartition
getAbbr() - Method in enum com.tibco.patterns.learn.training.Partition
getActiveModelIndex() - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
getActiveModelSettings() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles
getAdded(DataPartition) - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
getAllExamples() - Method in class com.tibco.patterns.learn.training.RLinkExperiment
getAllRecPairs() - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Converts record pairs in all datasets from XML structures to RecPair objects.
getAnnealingRate() - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig
getBestIteration() - Method in class com.tibco.patterns.learn.training.COErrorRateMin
getBestResult() - Method in class com.tibco.patterns.learn.training.COErrorRateMin
getBlurWindow() - Method in class com.tibco.patterns.learn.rlink.ConfFeature
getCalcSignificance() - Method in class com.tibco.patterns.learn.rlink.PredictOptions: Return the include significance setting.
getConfidence() - Method in class com.tibco.patterns.learn.rlink.PredictOptions: Returns the confidence measure options.
getConfidence() - Method in class com.tibco.patterns.learn.rlink.RLinkOut: Gets the prediction confidence.
getConfType() - Method in class com.tibco.patterns.learn.rlink.ConfDefault: Return the confidence type.
getConfType() - Method in class com.tibco.patterns.learn.rlink.ConfFeature: Return the confidence type.
getConfType() - Method in interface com.tibco.patterns.learn.rlink.Confidence: Return the confidence type.
getConfType() - Method in class com.tibco.patterns.learn.rlink.ConfNone: Return the confidence type.
getConfType() - Method in class com.tibco.patterns.learn.rlink.ConfRatio: Return the confidence type.
getConfType() - Method in class com.tibco.patterns.learn.rlink.ConfRatioLabel: Return the confidence type.
getConfType() - Method in class com.tibco.patterns.learn.rlink.ConfStats: Return the confidence type.
getCount(List<Boolean>) - Method in class com.tibco.patterns.learn.api.hint.HintAddPairs
getDataFile(int) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles
getDataFileLastModified(int) - Method in class com.tibco.patterns.learn.api.project.ProjectSettings: Get the data file last modified date, as that date is remembered in the project.
getDataset(DataPartition) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Converts record pairs in the given partition from XML structures to RecPair objects.
getDataset(RecPairExperiment) - Method in enum com.tibco.patterns.learn.api.project.DataPartition
getDatasetResult(DataPartition) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Returns a saved dataset result.
getDblArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfDefault: Return a double parameter.
getDblArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfFeature: Return a double parameter.
getDblArg(int) - Method in interface com.tibco.patterns.learn.rlink.Confidence: Return a double parameter.
getDblArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfNone: Return a double parameter.
getDblArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfRatio: Return a double parameter.
getDblArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfRatioLabel: Return a double parameter.
getDblArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfStats: Return a double parameter.
getDefault() - Static method in enum com.tibco.patterns.learn.api.feature.Thesaurus.Type
getDftFieldWeight() - Static method in class com.tibco.patterns.learn.api.feature.AbstractQlt
getDftGoodFitDistance() - Static method in class com.tibco.patterns.learn.training.COErrorRateMin
getDftInsertScore(boolean) - Static method in class com.tibco.patterns.learn.modelconfig.STDynamic
getDftMaxConfThreshold() - Static method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder
getDftMaxFalsePairsPerQuery() - Static method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder
getDftMaxIterations() - Static method in class com.tibco.patterns.learn.training.COErrorRateMin: Get default maximum iterations for COErrorRateMin.
getDftMaxIterations() - Static method in class com.tibco.patterns.learn.training.COIterationCount
getDftMaxPairsPerQuery() - Static method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder
getDftMinIterations() - Static method in class com.tibco.patterns.learn.training.COScoreChange
getDftNIterAfterMin() - Static method in class com.tibco.patterns.learn.training.COErrorRateMin
getDftRemoveLimit(boolean) - Static method in class com.tibco.patterns.learn.modelconfig.STDynamic
getDftTargetErrorRate() - Static method in class com.tibco.patterns.learn.training.COErrorRate
getDftTargetScoreChange() - Static method in class com.tibco.patterns.learn.training.COScoreChange
getDistinctValues() - Method in class com.tibco.patterns.learn.api.project.FieldStats
getDuplicates() - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
getEmptyFieldPenalty() - Method in class com.tibco.patterns.learn.api.feature.CognateQlt: Gets the empty field penalty.
getFalseInsertScores() - Method in class com.tibco.patterns.learn.modelconfig.STDynamic
getFalseInsertScores(int) - Static method in class com.tibco.patterns.learn.rlink.RLink
getFalseRemoveLimits() - Method in class com.tibco.patterns.learn.modelconfig.STDynamic
getFalseRemoveLimits(int) - Static method in class com.tibco.patterns.learn.rlink.RLink
getFalseSubsets() - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig
getFamilyAllSubsets() - Method in class com.tibco.patterns.learn.api.hint.DatasetStats
getFeature(int) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery
getFeature(String) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Gets the feature by name.
getFeatureCount(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Gets the number of model features.
getFeatureQuery() - Method in class com.tibco.patterns.learn.api.project.ModelSettings: The returned reference can be used to add, modify or delete features.
getFeatureValues() - Method in class com.tibco.patterns.learn.api.project.RecPair: No setter - feature values are calculated and assigned to XML structure
getFeatureValues() - Method in class com.tibco.patterns.learn.training.FeatureVector
getFeatureValues() - Method in class com.tibco.patterns.learn.training.VectorExample
getFemaleCodes() - Method in class com.tibco.patterns.learn.api.feature.GenderFeature
getFieldIgnore(int) - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getFieldIndex(int) - Method in class com.tibco.patterns.learn.api.feature.AbstractQlt
getFieldIndex(int) - Method in interface com.tibco.patterns.learn.api.feature.Querylet: Converts from field index in the list of querylet fields to the field index in the list of all non-key table fields.
getFieldInvalidValues(int) - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getFieldName() - Method in class com.tibco.patterns.learn.api.feature.DateQlt
getFieldName() - Method in class com.tibco.patterns.learn.api.feature.GenderFeature
getFieldNames() - Method in class com.tibco.patterns.learn.api.feature.CognateQlt
getFieldNames() - Method in class com.tibco.patterns.learn.api.feature.DateQlt
getFieldNames() - Method in class com.tibco.patterns.learn.api.feature.Feature
getFieldNames() - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery
getFieldNames() - Method in class com.tibco.patterns.learn.api.feature.GenderFeature
getFieldNames() - Method in class com.tibco.patterns.learn.api.feature.PersonNameFeature
getFieldNames() - Method in class com.tibco.patterns.learn.api.feature.PredicateQlt
getFieldNames() - Method in interface com.tibco.patterns.learn.api.feature.Querylet
getFieldNames() - Method in class com.tibco.patterns.learn.api.feature.SimpleQlt
getFieldNames() - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
getFields(int) - Method in class com.tibco.patterns.learn.recpair.RecPairExample
getFieldStats(int, int) - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
getFieldType(int) - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getFieldValues() - Method in class com.tibco.patterns.learn.api.project.RecPair
getFieldValues(String, String) - Method in class com.tibco.patterns.learn.recpair.RLinkServerInterface
getFieldWeight(int) - Method in class com.tibco.patterns.learn.api.feature.CognateQlt
getFieldWeight(int) - Method in class com.tibco.patterns.learn.api.feature.SimpleQlt
getFieldWeight(int) - Method in class com.tibco.patterns.learn.api.feature.TextQlt
getFNameField() - Method in class com.tibco.patterns.learn.api.feature.PersonNameFeature
getFrequentValues() - Method in class com.tibco.patterns.learn.api.project.FieldStats
getGoodFitDistance() - Method in class com.tibco.patterns.learn.training.COErrorRateMin
getId() - Method in class com.tibco.patterns.learn.api.project.RecPair
getId() - Method in class com.tibco.patterns.learn.recpair.RecPairExample
getID(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Return the unique ID for this model.
getInitialLearningRate(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Returns the initial learning rate, or -1 for file versions below RFV5.
getInProjectNoLabel() - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
getInProjectOppositeLabel() - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
getInProjectSameLabel() - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
getIntArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfDefault: Return an integer parameter.
getIntArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfFeature: Return an integer parameter.
getIntArg(int) - Method in interface com.tibco.patterns.learn.rlink.Confidence: Return an integer parameter.
getIntArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfNone: Return an integer parameter.
getIntArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfRatio: Return an integer parameter.
getIntArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfRatioLabel: Return an integer parameter.
getIntArg(int) - Method in class com.tibco.patterns.learn.rlink.ConfStats: Return an integer parameter.
getIterationResult() - Method in class com.tibco.patterns.learn.api.project.DatasetResult: May be used to get access to statistics not directly exposed by DatasetResult methods.
getKey(int) - Method in class com.tibco.patterns.learn.recpair.RecPairId
getKeyFieldIndex() - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
getLabel() - Method in class com.tibco.patterns.learn.api.hint.HintAddLabel
getLabel() - Method in class com.tibco.patterns.learn.api.project.RecPair
getLabel() - Method in class com.tibco.patterns.learn.rlink.RLinkOut
getLabel() - Method in class com.tibco.patterns.learn.training.VectorExample
getLabel(double) - Static method in class com.tibco.patterns.learn.rlink.RLinkOut
getLastConfThreshold() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Gets the last confidence threshold.
getLastTablePos() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder
getLearningRate() - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig
getLNameField() - Method in class com.tibco.patterns.learn.api.feature.PersonNameFeature
getLowConfMatches(List<String>, double) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Runs a query on server to get the low confidence matches in the data table for the given query record.
getLowConfMatches(List<String>, double, Confidence) - Method in class com.tibco.patterns.learn.recpair.RecPairScorer: Runs a query on server to get the low confidence matches in the data table for the given query record.The query uses the model and thesauri on server.
getMaleCodes() - Method in class com.tibco.patterns.learn.api.feature.GenderFeature
getMaxIterations() - Method in class com.tibco.patterns.learn.training.COIterationCount
getMetadata(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Returns the notes (meta-data) of the model.
getMinDiff() - Method in class com.tibco.patterns.learn.rlink.ConfFeature
getMinIterations() - Method in class com.tibco.patterns.learn.training.COErrorRate
getMissingInfoLimit() - Method in class com.tibco.patterns.learn.modelconfig.STFixed
getMissingInfoLimit(int) - Static method in class com.tibco.patterns.learn.rlink.RLink
getMNameField() - Method in class com.tibco.patterns.learn.api.feature.PersonNameFeature
getModelFileName() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getModelId() - Method in class com.tibco.patterns.learn.training.Trainer
getModelScoreThreshold() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getModelTrainConfig() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Get model training configuration.
getModelTrainDate() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getModelTrainIter() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getNAdded(DataPartition) - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
getName() - Method in class com.tibco.patterns.learn.api.feature.Feature
getName() - Method in class com.tibco.patterns.learn.api.feature.Thesaurus
getName() - Method in enum com.tibco.patterns.learn.api.project.DataPartition
getName() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getName() - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
getName() - Method in enum com.tibco.patterns.learn.training.Partition
getNDataFiles() - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
getNegative() - Method in class com.tibco.patterns.learn.modelconfig.STTaper
getNegativeTaper(int) - Static method in class com.tibco.patterns.learn.rlink.RLink
getNErrors() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
getNetricsQlt(String[]) - Method in class com.tibco.patterns.learn.api.feature.CognateQlt
getNetricsQlt(String[]) - Method in class com.tibco.patterns.learn.api.feature.DateQlt
getNetricsQlt(String[]) - Method in class com.tibco.patterns.learn.api.feature.PredicateQlt: Constructs a NetricsQuery querylet from the stored XML structure and the given field values.
getNetricsQlt(String[]) - Method in interface com.tibco.patterns.learn.api.feature.Querylet: Constructs a NetricsQuery querylet from the stored XML structure and the given field values.
getNetricsQlt(String[]) - Method in class com.tibco.patterns.learn.api.feature.SimpleQlt
getNetricsQlts(String[]) - Method in class com.tibco.patterns.learn.api.feature.Feature: Constructs all NetricsQuery querylets from the corresponding XML Search structure and the field values.
getNetricsQlts(String[]) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Constructs NetricsQuery querylets from all querylets in feature query.
getNExamples() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
getNFalseExamples() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
getNFalseNeg() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
getNFalsePos() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
getNFeatures() - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery
getNFeatures() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getNFeatures() - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig
getNFeatures() - Method in class com.tibco.patterns.learn.training.FeatureVector
getNFeatures() - Method in class com.tibco.patterns.learn.training.RLinkDataSet
getNFeatures() - Method in class com.tibco.patterns.learn.training.RLinkExperiment
getNFeatures() - Method in class com.tibco.patterns.learn.training.VectorExample
getNFields() - Method in class com.tibco.patterns.learn.api.feature.AbstractQlt
getNFields() - Method in interface com.tibco.patterns.learn.api.feature.Querylet
getNFields() - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
getNFields() - Method in class com.tibco.patterns.learn.api.project.RecPair
getNIgnoredFields() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getNInProject() - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
getNIterAfterMin() - Method in class com.tibco.patterns.learn.training.COErrorRateMin
getNIterations() - Method in class com.tibco.patterns.learn.training.COIterationCount: Can be used with subclasses to distinguish between convergence and reaching maxIterations without converging.
getNLabeledRecPairs(DataPartition) - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getNModels() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles
getNNotUseful() - Method in class com.tibco.patterns.learn.api.project.AddPairsResult: Gets the number of pairs added to Reserve dataset and to the overflow list.
getNonCognateWeight() - Method in class com.tibco.patterns.learn.api.feature.CognateQlt: Gets non-cognate weight applied when a value is entered in a wrong field.
getNonEmptyRows() - Method in class com.tibco.patterns.learn.api.project.FieldStats
getNonKeyFieldNames() - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
getNorm() - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig
getNorm(int) - Static method in class com.tibco.patterns.learn.rlink.RLink
getNote() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getNote() - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
getNotUseful() - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
getNProcessedInputRecs() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Get the number of processed records.
getNQlts() - Method in class com.tibco.patterns.learn.api.feature.Feature
getNQlts() - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Returns the total number of querylets in all features
getNQlts() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getNRecords() - Static method in class com.tibco.patterns.learn.api.project.RecPair
getNRecPairs() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getNRecPairs(DataPartition) - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getNReturnedFalsePairs() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Can only be used in the consumer thread.
getNReturnedPairs() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Can only be used in the consumer thread.
getNSkippedExists() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Can only be used in the consumer thread.
getNSkippedFalse() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Can only be used in the consumer thread.
getNSkippedPairs() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Can only be used in the consumer thread.
getNSkippedSimilar() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Can only be used in the consumer thread.
getNSkippedThreshold() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Can only be used in the consumer thread.
getNStoredPairs() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Can be called from a concurrent consumer thread.
getNTrueExamples() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
getNUntrainedPred() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult: Returns the number of examples that cannot be reliably predicted.
getNUsedRecPairs() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getNUseful() - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
getOverflow() - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
getPartition() - Method in class com.tibco.patterns.learn.api.hint.DatasetStats
getPartition() - Method in class com.tibco.patterns.learn.api.project.RecPair
getPositive() - Method in class com.tibco.patterns.learn.modelconfig.STTaper
getPositiveTaper(int) - Static method in class com.tibco.patterns.learn.rlink.RLink
getPrecisionBits() - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig
getPrecisionBits(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Returns number of precision bits, or -1 for file versions below RFV5.
getPredicate() - Method in class com.tibco.patterns.learn.api.feature.PredicateQlt
getPrediction() - Method in class com.tibco.patterns.learn.api.project.RecPair: No public setter - model result is calculated during training.
getPrediction() - Method in class com.tibco.patterns.learn.training.VectorExample
getPredictOptions() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer
getPredictOptions() - Method in class com.tibco.patterns.learn.training.Trainer
getPrevModelName() - Method in class com.tibco.patterns.learn.api.project.ModelSettings: No setter: previous model name is set automatically when saving a copy of the model.
getPrevPrediction() - Method in class com.tibco.patterns.learn.training.VectorExample: Used from TrainingObservers that need to compare previous and current iterations.
getProgressEstimate() - Method in class com.tibco.patterns.learn.training.COErrorRate
getProgressEstimate() - Method in class com.tibco.patterns.learn.training.COIterationCount
getProgressEstimate() - Method in interface com.tibco.patterns.learn.training.ConvergenceObserver: Returns an estimate of training progress, which can be used to indicate how close the desired convergence is.
getProgressEstimate() - Method in class com.tibco.patterns.learn.training.COScoreChange
getProjectSettings() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles
getQlt(int) - Method in class com.tibco.patterns.learn.api.feature.Feature
getQltNames() - Method in class com.tibco.patterns.learn.api.feature.Feature
getQltNames() - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery
getQlts() - Method in class com.tibco.patterns.learn.api.feature.Feature
getQlts() - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery
getRecPair(DataPartition, int) - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getRecPair(RecPairId) - Method in class com.tibco.patterns.learn.api.project.ModelSettings
getRecPairs() - Method in class com.tibco.patterns.learn.api.hint.HintReviewPairs
getRecPairs(Set<DataPartition>) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Converts record pairs in the specified datasets from XML structures to RecPair objects.
getResult() - Method in class com.tibco.patterns.learn.training.COErrorRate
getScore() - Method in class com.tibco.patterns.learn.rlink.RLinkOut
getScoreDist(RecPairId) - Method in class com.tibco.patterns.learn.api.hint.HintReviewPairs: Get the computed score distance for a record pair.
getSignificance() - Method in class com.tibco.patterns.learn.rlink.RLinkOut: Gets the significance of each model feature value.
getSkippedCount(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Skipped count is applicable only for TAPER subset training mode.
getSubsets() - Method in class com.tibco.patterns.learn.api.hint.HintAddPairs
getSubsetTrainConfig() - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig
getSubsetTrainMode() - Method in class com.tibco.patterns.learn.modelconfig.SubsetTrainConfig
getSubsetTrainMode(int) - Static method in class com.tibco.patterns.learn.rlink.RLink
getTablePosition() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Gets the encoded current position in the table that is used to get the next batch of records.
getTargetErrorRate() - Method in class com.tibco.patterns.learn.training.COErrorRate
getThermometerType(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Returns the thermometer type, or throws exception for file versions below RFV5 (thermometer type is -1, which is invalid).
getThesauri() - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery
getThesaurus(String) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery
getThesaurusName() - Method in class com.tibco.patterns.learn.api.feature.CognateQlt
getThesaurusName() - Method in class com.tibco.patterns.learn.api.feature.PersonNameFeature
getThesaurusName() - Method in class com.tibco.patterns.learn.api.feature.SimpleQlt
getThesaurusName() - Method in class com.tibco.patterns.learn.api.feature.TextQlt
getThesaurusNames() - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery
getThesaurusWeight() - Method in class com.tibco.patterns.learn.api.feature.CognateQlt
getThesaurusWeight() - Method in class com.tibco.patterns.learn.api.feature.PersonNameFeature
getThesaurusWeight() - Method in class com.tibco.patterns.learn.api.feature.SimpleQlt
getThesaurusWeight() - Method in class com.tibco.patterns.learn.api.feature.TextQlt
getThreshold(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Return the threshold for this model.
getTotalConf() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
getTrainCO() - Method in class com.tibco.patterns.learn.training.COErrorRateMin
getTrainedCount(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Trained count is applicable only for TAPER subset training mode.
getTrainLabel() - Method in class com.tibco.patterns.learn.api.project.RecPair: No setter - training label is saved together with model prediction.
getTrainSet() - Method in class com.tibco.patterns.learn.training.RLinkExperiment
getTrueInsertScores() - Method in class com.tibco.patterns.learn.modelconfig.STDynamic
getTrueInsertScores(int) - Static method in class com.tibco.patterns.learn.rlink.RLink
getTrueRemoveLimits() - Method in class com.tibco.patterns.learn.modelconfig.STDynamic
getTrueRemoveLimits(int) - Static method in class com.tibco.patterns.learn.rlink.RLink
getType() - Method in class com.tibco.patterns.learn.api.feature.Thesaurus
getUseful() - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
getValue() - Method in enum com.tibco.patterns.learn.rlink.RLink.SubsetTrainMode
getValue() - Method in enum com.tibco.patterns.learn.rlink.RLink.ThermometerType
getVersion() - Method in class com.tibco.patterns.learn.api.project.ModelSettings: No setter: version is not configurable.
getVersion() - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
getVersion(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Return the version ID for this model.
getVldSet() - Method in class com.tibco.patterns.learn.training.RLinkExperiment
getXmlString() - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Generates XML with all features (similar to the features element in model.xml) and returns it as string.

H

hashCode() - Method in class com.tibco.patterns.learn.api.feature.Thesaurus: Hash code uses thesaurus name only.
hashCode() - Method in class com.tibco.patterns.learn.api.project.RecPair
hashCode() - Method in class com.tibco.patterns.learn.recpair.RecPairId
hasIterations() - Method in class com.tibco.patterns.learn.training.COIterationCount
hasIterations() - Method in interface com.tibco.patterns.learn.training.TrainingObserver
hasLowConfPairFinder() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles
hasModel() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer
hasModelTrainConfig() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Checks whether a custom model training configuration is used to train the model.
hasMoreInputRecords() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder
hasNext() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Checks if more constructed pairs exist.
hasPrediction() - Method in class com.tibco.patterns.learn.api.project.RecPair
hasRecPairs() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
hasThesaurus() - Method in class com.tibco.patterns.learn.api.feature.CognateQlt
hasThesaurus() - Method in class com.tibco.patterns.learn.api.feature.SimpleQlt
hasThesaurus() - Method in class com.tibco.patterns.learn.api.feature.TextQlt
hasTrainedModel() - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Use this method before obtaining any other info about trained model.
Hint - Interface in com.tibco.patterns.learn.api.hint: Any suggestion that is given to the user based on the current state of the project.
HintAddLabel - Class in com.tibco.patterns.learn.api.hint: Hint to add pairs for subsets that have too few True/False labels.
HintAddPairs - Class in com.tibco.patterns.learn.api.hint: A hint to select additional record pairs for specified subsets.
HintAddPairs(SubsetFamily) - Constructor for class com.tibco.patterns.learn.api.hint.HintAddPairs
HintAddUnderrepr - Class in com.tibco.patterns.learn.api.hint: Hint to add pairs to subsets that are underrepresented in training dataset.
HintAddUntrained - Class in com.tibco.patterns.learn.api.hint: Hint to add pairs to subsets that are present in validation dataset, but are not in training dataset.
HintAddUntrainedInTable - Class in com.tibco.patterns.learn.api.hint: Hint to add pairs to subsets that are not found in either training or validation datasets, but are found in the data table.
HintReviewContra - Class in com.tibco.patterns.learn.api.hint: A hint to review pairs that have contradicting pairs.
HintReviewMislabeled - Class in com.tibco.patterns.learn.api.hint: A hint to review possibly mislabeled pairs.
HintReviewPairs - Class in com.tibco.patterns.learn.api.hint: A hint to review the labels for a list of existing record pairs.
HintReviewPairs(Map<RecPairId, Double>) - Constructor for class com.tibco.patterns.learn.api.hint.HintReviewPairs

I

incorrectPrediction() - Method in class com.tibco.patterns.learn.api.project.RecPair
INS_DEFAULT - Static variable in class com.tibco.patterns.learn.modelconfig.STDynamic: Use default insertion score.
isBool() - Method in enum com.tibco.patterns.learn.api.project.RecPair.Label
isBool(RecPairLabelType) - Static method in enum com.tibco.patterns.learn.api.project.RecPair.Label
isCompareVldFirst() - Method in class com.tibco.patterns.learn.training.COErrorRateMin
isConverged() - Method in class com.tibco.patterns.learn.api.project.DatasetResult: Use this method with validation dataset result.
isConverged() - Method in class com.tibco.patterns.learn.training.COErrorRate: Returns true if the target error rate has been reached in the last training iteration, after performing at least the minimum number of iterations.
isConverged() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult: Returns true if the default target error rate has been reached.
isConverged() - Method in class com.tibco.patterns.learn.training.COErrorRateMin: Determines if further training is unlikely to improve the best result that was found.
isConverged() - Method in class com.tibco.patterns.learn.training.COIterationCount
isConverged() - Method in interface com.tibco.patterns.learn.training.ConvergenceObserver: Returns whether the trained model has converged.
isConverged() - Method in class com.tibco.patterns.learn.training.COScoreChange
isConverged(double) - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult: Returns true if the target error rate has been reached.
isDebugOutput() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder
isDftRandomOrder() - Static method in class com.tibco.patterns.learn.training.Trainer
isFalseNeg() - Method in class com.tibco.patterns.learn.api.project.RecPair
isFalsePos() - Method in class com.tibco.patterns.learn.api.project.RecPair
isMatchEmpty() - Method in class com.tibco.patterns.learn.api.feature.CognateQlt
isMatchEmpty() - Method in class com.tibco.patterns.learn.api.feature.DateQlt
isMatchEmpty() - Method in class com.tibco.patterns.learn.api.feature.SimpleQlt
isMatchEmpty() - Method in class com.tibco.patterns.learn.api.feature.TextQlt
isModelLoaded() - Method in class com.tibco.patterns.learn.recpair.RecPairScorer: Checks if the model was loaded to server by this object.
isModelLoadedToServer() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Checks if the model was loaded to server by the scorer.
isPerfectResult() - Method in class com.tibco.patterns.learn.api.project.DatasetResult
isPerfectResult() - Method in class com.tibco.patterns.learn.training.COErrorRate: Returns true if all examples in the dataset are predicted correctly.
isPerfectResult() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
isPerfectResult() - Method in class com.tibco.patterns.learn.training.COIterationCount
isPerfectResult() - Method in class com.tibco.patterns.learn.training.COScoreChange
isPerfectResult() - Method in interface com.tibco.patterns.learn.training.TrainingObserver
isRandomOrder() - Method in class com.tibco.patterns.learn.api.project.ModelTrainConfig
isRandomOrder() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Get the random order parameter that was specified in ModelTrainConfig (if file present), or the default (true).
isReview() - Method in class com.tibco.patterns.learn.api.project.RecPair
isUsedForModel() - Method in enum com.tibco.patterns.learn.api.project.DataPartition: Checks whether the partition is used for model creation or training (TRAIN, VLD, FSUBSETS).
isUsedInTraining() - Method in enum com.tibco.patterns.learn.api.project.DataPartition: Checks whether the partition is used in training (TRAIN and VLD).
isUsingSubsets() - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig
IterationResult(double) - Constructor for class com.tibco.patterns.learn.training.COErrorRate.IterationResult: Initializes all values to 0.
IterationResult(int, int, int, int, int, int, double) - Constructor for class com.tibco.patterns.learn.training.COErrorRate.IterationResult: Stores all given values in the new object.
iterator() - Method in class com.tibco.patterns.learn.training.RLinkDataSet

L

LARGE - com.tibco.patterns.learn.rlink.RLink.ThermometerType: Large thermometer - faster learning, slower predictions.
learn(int, double[], boolean) - Static method in class com.tibco.patterns.learn.rlink.RLink: Trains the existing model with the given training example (feature vector and label).
learn(RLinkDataSet<? extends VectorExample>) - Method in class com.tibco.patterns.learn.training.Trainer: Performs a single training iteration for all given training examples.
learnRate(double) - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig: Sets the initial learning rate which defines how quickly the internal model state changes during training in response to incorrectly classified examples.
load(String, String) - Static method in class com.tibco.patterns.learn.api.project.ProjectFiles: Loads an existing project from the specified directory.
loadModel(int) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Loads ModelSettings from model.xml file specified by the index.
loadModel(String, Path) - Method in class com.tibco.patterns.learn.recpair.RecPairScorer: Loads the model to server.
loadTable(String, NetricsRecFile) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Loads the table from a server side CSV file to the Patterns server for scoring.
loadTrainedModel() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Loads the trained model from the model.bin file to ModelTrainer of the active model.
localDataFileExists(String) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles
LOW_CONF - com.tibco.patterns.learn.api.project.DataPartition: Low confidence dataset stores the best pairs found by LowConfPairFinder, but not yet shown to the user.
LowConfPairFinder - Class in com.tibco.patterns.learn.api.autopair: Finds new low confidence pairs to be labeled and added to the project.
LowConfPairFinder(RecPairMap, FeatureQuery, ModelTrainer, String) - Constructor for class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Constructs the object that can find new low confidece pairs.

M

main(String[]) - Static method in class com.tibco.patterns.learn.rlink.ThermoCsvDump: Writes weights of thermometers in one winnow to a CSV file.
MAX_SCORE - Static variable in class com.tibco.patterns.learn.rlink.RLink: The maximum non-empty feature score, and the maximum model score (1).
meanConf() - Method in class com.tibco.patterns.learn.api.project.DatasetResult
meanConf() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
meanDist() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
meanErrConf() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
meanErrDist() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult
MIN_SCORE - Static variable in class com.tibco.patterns.learn.rlink.RLink: The minimum non-empty feature score, and the minimum model score (0).
minNLabeledRecPairs(DataPartition) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Calculates a minimum number of labeled record pairs that is recommended for the given partition.
ModelConfig - Class in com.tibco.patterns.learn.modelconfig: Stores a configuration of an RLink model and builds model(s) with this configuration.
ModelConfig() - Constructor for class com.tibco.patterns.learn.modelconfig.ModelConfig: Creates model configuration with all default parameters that are recommended for up to 11 features.
ModelConfig(int) - Constructor for class com.tibco.patterns.learn.modelconfig.ModelConfig: Creates model configuration with default parameters that are recommended for the specified number of features.
ModelConfig(ModelConfig) - Constructor for class com.tibco.patterns.learn.modelconfig.ModelConfig: Creates a deep copy of the given object.
ModelSettings - Class in com.tibco.patterns.learn.api.project: Stores all settings for a single Patterns Learn model.xml file.
ModelTrainConfig - Class in com.tibco.patterns.learn.api.project: Defines configuration for creating and training a Learn model.
ModelTrainConfig(Schema, Path) - Constructor for class com.tibco.patterns.learn.api.project.ModelTrainConfig: Loads the configuration from xmlFile.
ModelTrainer - Class in com.tibco.patterns.learn.api.project: Functionality to communicate with Patterns server, load data table, calculate feature scores, train and evaluate model.
modelValues() - Static method in enum com.tibco.patterns.learn.api.project.DataPartition: Lists partitions that are used for model creation or for model training.
moveUsefulRecPairs(DataPartition, int) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Moves the record pairs that are likely to improve model training from the given dataset (Reserve) to the training or validation dataset of the active model.

N

needContinueTraining(TrainingObserver, ConvergenceObserver) - Static method in class com.tibco.patterns.learn.training.Trainer
needRetrain() - Method in class com.tibco.patterns.learn.training.COErrorRateMin: Returns true if the model needs to be retrained.
needStopTraining() - Method in class com.tibco.patterns.learn.training.COErrorRate: Returns true if the target error rate (after performing the minimum number of iterations) or the maximum number of iterations have been reached.
needStopTraining() - Method in class com.tibco.patterns.learn.training.COErrorRateMin: Determines if training needs to be stopped.
needStopTraining() - Method in class com.tibco.patterns.learn.training.COIterationCount
needStopTraining() - Method in interface com.tibco.patterns.learn.training.ConvergenceObserver: Returns whether the training has to be stopped after current iteration.
needStopTraining() - Method in class com.tibco.patterns.learn.training.COScoreChange
next(RecPair.Label, DataPartition) - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Returns the next constructed pair to be labeled.
nextRecBatch() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Gets the next batch of records from the server table.
nFeatures(int) - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig: Sets the number of model features.
NO_CHANGE - Static variable in class com.tibco.patterns.learn.modelconfig.STDynamic: Do not insert/remove score.
NO_CONFIDENCE_MEASURE - Static variable in class com.tibco.patterns.learn.rlink.RLink: The value returned if no confidence measure was calculated or if the requested confidence measure is not supported by the given model.
NONE - com.tibco.patterns.learn.rlink.RLink.SubsetTrainMode: Train actual examples only, no generated subsets
noPredictionRate() - Method in class com.tibco.patterns.learn.api.project.DatasetResult
noPredictionRate() - Method in class com.tibco.patterns.learn.training.COErrorRate.IterationResult: Returns the percentage of examples that cannot be reliably predicted.
norm(double) - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig: Sets Minkowski norm value for combining feature values.
nsi() - Method in class com.tibco.patterns.learn.recpair.RLinkServerInterface: Returns the server interface object to be used for all standard server methods.

O

opposite() - Method in enum com.tibco.patterns.learn.api.project.RecPair.Label
optimizeScoreThreshold(DataPartition) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Optimizes the score threshold to minimize the error rate and maximize the separation of the correct predictions.
otherFeatureHasThesWithDifferentType(Thesaurus, Feature<?>) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Checks for thesaurus type conflicts.

P

Partition - Enum in com.tibco.patterns.learn.training: Defines the type of a dataset: Training or Validation.
PersonNameFeature - Class in com.tibco.patterns.learn.api.feature: A feature with 3 querylets:
Simple: first name, with thesaurus;
Simple: last name;
Cognate: first, middle (optional) and last name fields, with thesaurus, non-cognate weight 0.8, empty field penalty 0.1.
PersonNameFeature(String, int, int, int, List<String>) - Constructor for class com.tibco.patterns.learn.api.feature.PersonNameFeature: Creates a new feature for first, middle and last names.
PersonNameFeature(String, int, int, List<String>) - Constructor for class com.tibco.patterns.learn.api.feature.PersonNameFeature: Creates a new feature for first and last names (middle name field is not used).
precision(int) - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig: Sets the number of precision bits.
PredicateQlt - Class in com.tibco.patterns.learn.api.feature: A Predicate querylet for evaluating a predicate expression.
PredicateQlt(String, List<String>) - Constructor for class com.tibco.patterns.learn.api.feature.PredicateQlt: Creates predicate querylet with the given predicate expression.
predict(int) - Method in class com.tibco.patterns.learn.training.VectorExample: Calculates prediction using default options.
predict(int, double[]) - Static method in class com.tibco.patterns.learn.rlink.RLink: Predicts the score (and label) using default options.
predict(int, double[], PredictOptions) - Static method in class com.tibco.patterns.learn.rlink.RLink: Predicts the score (and label), calculates the requested confidence and significance.
predict(int, PredictOptions) - Method in class com.tibco.patterns.learn.training.FeatureVector: Calculates prediction using the given model and options.
predict(int, PredictOptions) - Method in class com.tibco.patterns.learn.training.VectorExample: Calculates prediction using the given model and options, stores it in this example.
predict(RecPair) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Predicts the given pair using the existing model.
predict(FeatureVector) - Method in class com.tibco.patterns.learn.training.Trainer: Calculates the RLink prediction for the given feature vector.
predict(VectorExample) - Method in class com.tibco.patterns.learn.training.Trainer: Calculates and saves RLink prediction in the given example.
PredictOptions - Class in com.tibco.patterns.learn.rlink: Holds all options for calculating prediction using a Learn model.
PredictOptions() - Constructor for class com.tibco.patterns.learn.rlink.PredictOptions: Creates object with default options.
PredictOptions(boolean, Confidence) - Constructor for class com.tibco.patterns.learn.rlink.PredictOptions: Creates object with specified options.
prevRes - Variable in class com.tibco.patterns.learn.training.COErrorRate
printHeaderLine() - Method in class com.tibco.patterns.learn.training.COErrorRate: Prints the header of the iteration list.
processNextInputRec() - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Finds low confidence pairs for the next input record in the table.
ProjectFiles - Class in com.tibco.patterns.learn.api.project: Manages all files for one Patterns Learn project.
ProjectSettings - Class in com.tibco.patterns.learn.api.project: Stores all settings for a single Patterns Learn project.xml file.

Q

Querylet - Interface in com.tibco.patterns.learn.api.feature: Defines shared functionality for a single Learn querylet.

R

read(String) - Static method in class com.tibco.patterns.learn.rlink.RLink: Loads a model from file.
RecPair - Class in com.tibco.patterns.learn.api.project: Stores information about one record pair, including field values, feature scores and label.
RecPair(String, String, List<String>, List<String>) - Constructor for class com.tibco.patterns.learn.api.project.RecPair: Creates a new record pair with required data to be passed to Learn API.
RecPair(String, String, List<String>, List<String>, RecPair.Label) - Constructor for class com.tibco.patterns.learn.api.project.RecPair: Creates a labeled record pair to be passed to Learn API.
RecPair.ConfScoreComparator - Class in com.tibco.patterns.learn.api.project: Provides ordering by a combination (weighted sum) of the prediction confidence (ascending) and the distance of the model score from the 0.5 threshold (ascending).
RecPair.Label - Enum in com.tibco.patterns.learn.api.project: Defines a label that can be assigned to a record pair: True, False or Unsure.
RecPairExample - Class in com.tibco.patterns.learn.recpair: A training example constructed based on a pair of database records.
RecPairExample(RecPairId, RecPairScorer, boolean) - Constructor for class com.tibco.patterns.learn.recpair.RecPairExample: Uses RecPairScorer to get field values from server table, calculates symmetric feature scores.
RecPairExample(RecPairId, List<String>, List<String>, double[], boolean) - Constructor for class com.tibco.patterns.learn.recpair.RecPairExample: Creates RecPairExample when feature values are known.
RecPairExperiment - Class in com.tibco.patterns.learn.recpair: Manages a training dataset and a validation dataset.
RecPairExperiment(double, String, RecPairScorer) - Constructor for class com.tibco.patterns.learn.recpair.RecPairExperiment: Loads a single list of pairs from CSV, then divides them randomly to training and validation datasets.
RecPairExperiment(int, List<RecPairType>, List<RecPairType>) - Constructor for class com.tibco.patterns.learn.recpair.RecPairExperiment: Creates RecPairExperiment with training examples imported from the two given XML datasets.
RecPairId - Class in com.tibco.patterns.learn.recpair: Stores a pair of keys.
RecPairId(RecPairType) - Constructor for class com.tibco.patterns.learn.recpair.RecPairId: Creates object that stores keys taken from the given XML record pair.
RecPairId(String, String) - Constructor for class com.tibco.patterns.learn.recpair.RecPairId: Creates object that stores the two given keys for a record pair.
RecPairMap - Class in com.tibco.patterns.learn.api.project: Manages datasets in the XML structure in sync with a map of all record pairs that are stored in these datasets.
recPairs - Variable in class com.tibco.patterns.learn.api.hint.HintReviewPairs
RecPairScorer - Class in com.tibco.patterns.learn.recpair: Manages calculation of feature scores and communication with Patterns server.
RecPairScorer(NetricsServerInterface, NetricsTable, FeatureQuery, Path) - Constructor for class com.tibco.patterns.learn.recpair.RecPairScorer: Creates scorer object for scoring records.
RecPairScorer(NetricsServerInterface, String, FeatureQuery, Path) - Constructor for class com.tibco.patterns.learn.recpair.RecPairScorer: Creates scorer object for scoring records and getting field values from the existing table on the server.
RecPairSet - Class in com.tibco.patterns.learn.recpair: A container for storing a set of RecPairExample training examples.
RecPairSet(int) - Constructor for class com.tibco.patterns.learn.recpair.RecPairSet: Creates empty dataset.
RecPairSet(int, int) - Constructor for class com.tibco.patterns.learn.recpair.RecPairSet: Creates empty dataset.
RecPairSet(int, List<RecPairType>) - Constructor for class com.tibco.patterns.learn.recpair.RecPairSet: Creates RecPairSet with examples copied from xmlDataset.
RecPairSet(String, RecPairScorer) - Constructor for class com.tibco.patterns.learn.recpair.RecPairSet: Constructs the dataset by loading record pairs from CSV file.
reloadTable(String, NetricsRecFile) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Deletes table from the server if it exists, then loads table from a server side CSV file.
removeFeature(int) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Deletes the feature with the given index.
removeRecPair(DataPartition, int) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Deletes a record pair with the given index from the specified dataset.
removeRecPair(DataPartition, RecPairId) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Deletes a record pair with the given keys from the specified dataset.
removeRecPair(RecPairId) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Deletes a record pair with the given keys.
removeThesauri(Feature<?>) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Removes all thesauri from the given feature and from the list of thesauri used by this feature query (if needed).
removeThesaurus(TextQlt<?>) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Removes the thesaurus (if assigned) from the given querylet.
replaceDataFile(int, String, List<String>, boolean, boolean) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Replaces the currently assigned data file with a compatible data file.
RESERVE - com.tibco.patterns.learn.api.project.DataPartition: Reserve dataset - not used during model training.
RLink - Class in com.tibco.patterns.learn.rlink: Performs communication with rlink_jni library using JNI to create, load, save, train and evaluate RLink models.
RLINK_THRESHOLD - Static variable in class com.tibco.patterns.learn.rlink.RLinkOut: The threshold between "true" and "false" labels used to train models
RLink.SubsetTrainMode - Enum in com.tibco.patterns.learn.rlink: Defines methods used to generate training examples for subsets of given training example
RLink.ThermometerType - Enum in com.tibco.patterns.learn.rlink: Type of thermometers used in RLink model.
RLinkDataSet<T extends VectorExample> - Class in com.tibco.patterns.learn.training: A container for storing a set of training examples suitable for model training.
RLinkDataSet(int) - Constructor for class com.tibco.patterns.learn.training.RLinkDataSet: Creates empty dataset.
RLinkDataSet(int, int) - Constructor for class com.tibco.patterns.learn.training.RLinkDataSet: Creates empty dataset.
RLinkExperiment<T extends VectorExample> - Class in com.tibco.patterns.learn.training: Manages all data required for a model training experiment: training and validation datasets.
RLinkExperiment(RLinkDataSet<T>, double) - Constructor for class com.tibco.patterns.learn.training.RLinkExperiment: Creates experiment with validation dataset randomly split from allExamples according to vldProportion.
RLinkExperiment(RLinkDataSet<T>, RLinkDataSet<T>) - Constructor for class com.tibco.patterns.learn.training.RLinkExperiment: Creates the experiment that contains the two given datasets.
RLinkOut - Class in com.tibco.patterns.learn.rlink: Stores the result of RLink model prediction.
RLinkOut(double, double) - Constructor for class com.tibco.patterns.learn.rlink.RLinkOut: Creates object that stores the given score and confidence.
RLinkOut(double, double, double[]) - Constructor for class com.tibco.patterns.learn.rlink.RLinkOut: Creates object that stores the given score, confidence and feature significance values.
RLinkServerInterface - Class in com.tibco.patterns.learn.recpair: Provides more convenient communication with the Patterns server in situations that are frequently used in record pair scoring for Learn.
RLinkServerInterface(NetricsServerInterface) - Constructor for class com.tibco.patterns.learn.recpair.RLinkServerInterface: Constructs RLinkServerInterface object that wraps the given object.

S

safeDeleteModel() - Method in class com.tibco.patterns.learn.recpair.RecPairScorer: Deletes the model from server if it has been loaded.
save() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Saves project.xml and active model.xml files to the existing project location
saveAllRecPairsToCsv(Path) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Saves record pairs from all datasets to the CSV file.
saveAs(String, String) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Saves project files to the new project location and/or project name.
saveDatasetToCsv(DataPartition, Path) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Saves record pairs from the specified dataset to the CSV file.
saveJavaCode(Path, String, String) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Saves Java source code for the stored feature query.
saveLowConfPairFinder(int) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Saves the state of the low confidence pair finder that was created before and used to find pairs.
saveModelCopy(String) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Saves the active model, then saves its copy (creates model dir, model.xml and model.bin).
saveTrainedModel() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Saves trained model binary file to the active model directory.
saveXmlSearch(Path) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Exports all features to an XML file according to Patterns Search XML schema.
score() - Method in enum com.tibco.patterns.learn.api.project.RecPair.Label
scoreRecPair(RecPairId) - Method in class com.tibco.patterns.learn.recpair.RecPairScorer: Computes symmetric querylet scores for the pair of records defined by key0 and key1.
scoreRecPair(List<String>, List<String>) - Method in class com.tibco.patterns.learn.recpair.RecPairScorer: Computes symmetric querylet scores for the given pair of records.
searchForRecord(NetricsSearchCfg, NetricsSearchOpts) - Method in class com.tibco.patterns.learn.recpair.RLinkServerInterface: Searches for a given record in a single table.
selfTest() - Static method in class com.tibco.patterns.learn.recpair.RecPairId: Called from ProjectTest, RecPairTest.
serverThesName(String, String) - Static method in class com.tibco.patterns.learn.api.feature.TextQlt: Returns the thesaurus name that is used on the server.
setAnnealingRate(int, double) - Static method in class com.tibco.patterns.learn.rlink.RLink: Sets the annealing rate (the speed of the learning rate decrease with each training iteration).
setCompareVldFirst(boolean) - Method in class com.tibco.patterns.learn.training.COErrorRateMin: Sets a flag whether to compare the Validation or the Training error rates first.
setDataFile(String, List<String>, boolean, boolean) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Sets the data file info.
setDebugOutput(boolean) - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder
setDebugOutput(boolean) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Sets the debug output.
setDistinctValues(int) - Method in class com.tibco.patterns.learn.api.project.FieldStats
setDynamic(int, double[], double[], double[], double[]) - Static method in class com.tibco.patterns.learn.rlink.RLink: Sets parameters for removal and insertion of scores to generate related training vectors when using SubsetTrainMode.DYNAMIC.
setEmptyFieldPenalty(double) - Method in class com.tibco.patterns.learn.api.feature.CognateQlt: Sets empty field penalty.
setFeature(int, Feature<?>) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Replaces the existing feature with the new one.
setField(int) - Method in class com.tibco.patterns.learn.api.feature.DateQlt: Replaces the date field in the querylet.
setFieldIgnore(int, boolean) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Assigns the given Ignore value to a field with the given fieldIndex.
setFields(int[], double[]) - Method in class com.tibco.patterns.learn.api.feature.CognateQlt: Replaces the list of fields in the querylet.
setFields(int[], double[]) - Method in class com.tibco.patterns.learn.api.feature.SimpleQlt: Replaces the list of fields in the querylet.
setFields(int[], double[]) - Method in class com.tibco.patterns.learn.api.feature.TextQlt: Replaces the list of fields in the querylet.
setFieldStats(int, int, FieldStats) - Method in class com.tibco.patterns.learn.api.project.ProjectSettings: Assigns the given field statistics to a field with the given fieldIndex.
setFieldType(int, int, float) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Assigns the given field type to a field with the given index.
setFieldWeight(int, double) - Method in class com.tibco.patterns.learn.api.feature.CognateQlt
setFieldWeight(int, double) - Method in class com.tibco.patterns.learn.api.feature.SimpleQlt
setFieldWeight(int, double) - Method in class com.tibco.patterns.learn.api.feature.TextQlt: Sets the weight of the given field.
setFrequentValues(List<ValueFreq>) - Method in class com.tibco.patterns.learn.api.project.FieldStats
setGoodFitDistance(double) - Method in class com.tibco.patterns.learn.training.COErrorRateMin: Sets the maximum distance that the training error rate can be above the validation error rate and the result is deemed a good fit, i.e.
setHeader(String, String, String, String, double) - Static method in class com.tibco.patterns.learn.rlink.RLink: Copy a model file, updating the header values.
setID(int, String) - Static method in class com.tibco.patterns.learn.rlink.RLink: Set the ID of the model.
setInitialConfThreshold(double) - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Sets the initial confidence limit of all returned pairs.
setKeyField(int) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Sets the index of the key field in the data file.
setLabel(RecPair.Label) - Method in class com.tibco.patterns.learn.api.project.RecPair
setMatchEmpty(boolean) - Method in class com.tibco.patterns.learn.api.feature.CognateQlt
setMatchEmpty(boolean) - Method in class com.tibco.patterns.learn.api.feature.DateQlt: Sets the Match Empty parameter.
setMatchEmpty(boolean) - Method in class com.tibco.patterns.learn.api.feature.SimpleQlt
setMatchEmpty(boolean) - Method in class com.tibco.patterns.learn.api.feature.TextQlt: Sets the Match Empty parameter.
setMaxConfTheshold(double) - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Sets the maximum confidence limit of all returned pairs.
setMaxIterations(int) - Method in class com.tibco.patterns.learn.training.COErrorRate: Sets the maximum number of model training iterations to perform.
setMaxIterations(int) - Method in class com.tibco.patterns.learn.training.COIterationCount: Sets the maximum number of model training iterations to perform.
setMetadata(int, String) - Static method in class com.tibco.patterns.learn.rlink.RLink: Sets the notes (meta-data) field for an existing model.
setMinIterations(int) - Method in class com.tibco.patterns.learn.training.COErrorRate: Sets the minimum number of iterations to perform.
setMissingInfoLimit(int, double) - Static method in class com.tibco.patterns.learn.rlink.RLink: Sets the percentage of values that may be missing in a generated training example for a subset.
setModelConfig(ModelConfig) - Method in class com.tibco.patterns.learn.api.project.ModelTrainConfig: Copies settings from mConfig to the XML structure (modelConfig node).
setModelScoreThreshold(double) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Sets the prediction score threshold of the trained model.
setModelTrainConfig(ModelTrainConfig) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Remembers the ModelTrainConfig reference (can be further modified from outside).
setName(String) - Method in class com.tibco.patterns.learn.api.feature.Feature: Sets the name of this feature.
setNIterAfterMin(int) - Method in class com.tibco.patterns.learn.training.COErrorRateMin: Sets the number of iterations to explore after the best iteration.
setNonCognateWeight(double) - Method in class com.tibco.patterns.learn.api.feature.CognateQlt: Sets non-cognate weight applied when a value is entered in a wrong field.
setNonEmptyRows(float) - Method in class com.tibco.patterns.learn.api.project.FieldStats
setNote(String) - Method in class com.tibco.patterns.learn.api.project.ModelSettings
setNote(String) - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
setPartition(DataPartition) - Method in class com.tibco.patterns.learn.api.project.RecPair: Sets the data partition.
setPredicate(String) - Method in class com.tibco.patterns.learn.api.feature.PredicateQlt: Sets the predicate expression.
setPredictOptions(PredictOptions) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Sets options to be used for all subsequent model predictions using this ModelTrainer.
setPredictOptions(PredictOptions) - Method in class com.tibco.patterns.learn.training.Trainer: Sets options to be used for all model predictions.
setPrint(boolean) - Method in class com.tibco.patterns.learn.training.COScoreChange: Enables printing of iteration results to console.
setPrintOptions(int, Partition, boolean) - Method in class com.tibco.patterns.learn.training.COErrorRate: Enables printing of the iteration results, sets console printing options, prints header.
setRandomSeed(long) - Method in class com.tibco.patterns.learn.training.Trainer: Sets the random seed to be used for randomizing the order of examples.
setRecPairLabel(DataPartition, int, RecPair.Label) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Sets the label of an existing record pair with the given index in specified dataset.
setRecPairLabel(RecPairId, RecPair.Label) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Sets the label of an existing record pair with the given keys (in any dataset).
setRecPairReview(DataPartition, int, boolean) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Sets review attribute of an existing record pair with the given index in specified dataset.
setRecPairReview(RecPairId, boolean) - Method in class com.tibco.patterns.learn.api.project.ModelSettings: Sets review attribute of an existing record pair with the given keys (in any dataset).
setReview(boolean) - Method in class com.tibco.patterns.learn.api.project.RecPair: Sets the Review property (whether the pair needs to be reviewed).
setSavedPairs(List<RecPair>) - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Recalculates model predictions for the saved pairs using the current model and remembers the pairs with confidence that is still below the current confidence threshold.
setSubsetTrainMode(int, RLink.SubsetTrainMode) - Static method in class com.tibco.patterns.learn.rlink.RLink: Set the subset training mode to an existing model.
setTable(String) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Sets the name of the table that already exists on the server.
setTableDef() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Sets the table definition for pair scoring.
setTaper(int, double, double) - Static method in class com.tibco.patterns.learn.rlink.RLink: Set parameters for the tapering function that generates examples for subsets.
setThesaurus(Thesaurus, double, Feature<?>) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Sets (or replaces) thesaurus in the given feature and adds it to the list of thesauri used by this feature query (if not yet present).
setThesaurus(Thesaurus, double, TextQlt<?>) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Sets (or replaces) thesaurus in the given querylet and adds it to the list of thesauri used by this feature query (if not yet present).
setThesPrefix(String) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: Assigns the given identifier (UUID) that is used in all thesauri names on the server.
setThreshold(int, double) - Static method in class com.tibco.patterns.learn.rlink.RLink: Set the cutoff threshold for the model.
setTrainConfig(Boolean, Map<Partition, ConvergenceObserver>) - Method in class com.tibco.patterns.learn.api.project.ModelTrainConfig: Copies settings from observers to the XML structure (trainConfig node).
setVersion(int, String) - Static method in class com.tibco.patterns.learn.rlink.RLink: Set the version ID of the model.
SimpleQlt - Class in com.tibco.patterns.learn.api.feature: A Simple querylet for matching one field or concatenated string values of several fields.
SimpleQlt(int[], double[], List<String>) - Constructor for class com.tibco.patterns.learn.api.feature.SimpleQlt: Creates simple querylet with given parameters.
SimpleQlt(int[], List<String>) - Constructor for class com.tibco.patterns.learn.api.feature.SimpleQlt: Default field weights 1.0 are used.
SimpleQlt(int, List<String>) - Constructor for class com.tibco.patterns.learn.api.feature.SimpleQlt: A single field with default field weight is used.
size() - Method in class com.tibco.patterns.learn.api.hint.HintAddPairs
size() - Method in class com.tibco.patterns.learn.api.hint.HintReviewPairs
size() - Method in class com.tibco.patterns.learn.training.RLinkDataSet
size(DataPartition) - Method in class com.tibco.patterns.learn.api.project.RecPairMap
SMALL - com.tibco.patterns.learn.rlink.RLink.ThermometerType: Small thermometer - slower learning, faster predictions.
STAll - Class in com.tibco.patterns.learn.modelconfig: Specifies training of all subsets with generated examples.
STAll() - Constructor for class com.tibco.patterns.learn.modelconfig.STAll: Creates a configuration to train all subsets.
STDynamic - Class in com.tibco.patterns.learn.modelconfig: Specifies dynamic training of subsets.
STDynamic() - Constructor for class com.tibco.patterns.learn.modelconfig.STDynamic: Creates a Dynamic subset training configuration with default parameters.
STDynamic(double[], double[], double[], double[]) - Constructor for class com.tibco.patterns.learn.modelconfig.STDynamic: Creates a Dynamic subset training configuration with specified parameters.
STDynamic(int, double, double, double, double) - Constructor for class com.tibco.patterns.learn.modelconfig.STDynamic: Creates a Dynamic subset training configuration using the same value for each of the parameter arrays.
STFixed - Class in com.tibco.patterns.learn.modelconfig: Specifies training up to a fixed depth of subsets, defined by percentage of missing information in the subset.
STFixed() - Constructor for class com.tibco.patterns.learn.modelconfig.STFixed: Creates a new fixed depth subset training configuration with default parameters.
STFixed(double) - Constructor for class com.tibco.patterns.learn.modelconfig.STFixed: Creates a new fixed depth subset training configuration with custom parameters.
STNone - Class in com.tibco.patterns.learn.modelconfig: Specifies training with actual examples only, without any generated examples for submodels.
STNone() - Constructor for class com.tibco.patterns.learn.modelconfig.STNone: Creates a configuration to train with actual examples only.
STTaper - Class in com.tibco.patterns.learn.modelconfig: Specifies the use of a random tapering function to generate some examples for subsets.
STTaper() - Constructor for class com.tibco.patterns.learn.modelconfig.STTaper: Creates a new subset training configuration that uses a tapering function with default parameters.
STTaper(double, double) - Constructor for class com.tibco.patterns.learn.modelconfig.STTaper: Creates a new subset training configuration that uses a tapering function with custom parameters.
SubsetFamily - Class in com.tibco.patterns.learn.api.hint: Stores a family (a set) of RLink subsets.
SubsetFamily(FeatureQuery) - Constructor for class com.tibco.patterns.learn.api.hint.SubsetFamily
SubsetLabelPairMap - Class in com.tibco.patterns.learn.api.hint: Stores a family (a set) of RLink subsets.
SubsetLabelPairMap(FeatureQuery) - Constructor for class com.tibco.patterns.learn.api.hint.SubsetLabelPairMap
SubsetLabelPairMap(FeatureQuery, List<RecPair>) - Constructor for class com.tibco.patterns.learn.api.hint.SubsetLabelPairMap: Adds all given pairs to the new SubsetLabelPairMap.
subsets - Variable in class com.tibco.patterns.learn.api.hint.HintAddPairs
subsetTrain(SubsetTrainConfig) - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig: Sets the subset training configuration.
SubsetTrainConfig - Class in com.tibco.patterns.learn.modelconfig: Defines configuration parameters for one of the subset training modes.
SUBSTITUTION - com.tibco.patterns.learn.api.feature.Thesaurus.Type: Substitution (simple) thesaurus.
suggestInitialConfThreshold(double) - Method in class com.tibco.patterns.learn.api.autopair.LowConfPairFinder: Sets the initial confidence threshold after restricting it within valid limits.
suitableRecord(List<Boolean>, List<String>) - Method in class com.tibco.patterns.learn.api.hint.HintAddPairs: Filters a record in a data table.
switchActiveModel(int) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Saves the currently active model, then loads another model from file, makes it active, saves the new active model index.

T

tableExists(String) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer
tableIsCompatible(String) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Checks if the table on server has field names and types that match ModelSettings.
TAPER - com.tibco.patterns.learn.rlink.RLink.SubsetTrainMode: Use a random tapering function to generate some examples for subsets
tblExists(String) - Method in class com.tibco.patterns.learn.recpair.RLinkServerInterface: Checks if a table exists on the server.
tblSafeDelete(String) - Method in class com.tibco.patterns.learn.recpair.RLinkServerInterface: Deletes a table if it exists on the server, otherwise does nothing.
TEST - com.tibco.patterns.learn.api.project.DataPartition: Test dataset - currently not used.
TextQlt<T extends com.tibco.patterns.learn.jaxb.model.SearchQueryBaseType> - Class in com.tibco.patterns.learn.api.feature: Provides common functionality for querylets that use approximate text matching (Simple and Cognate querylets).
ThermoCsvDump - Class in com.tibco.patterns.learn.rlink: Dumps thermometers to CSV files
ThermoCsvDump() - Constructor for class com.tibco.patterns.learn.rlink.ThermoCsvDump
Thesaurus - Class in com.tibco.patterns.learn.api.feature: Represents thesaurus file that can be used in multiple querylets.
Thesaurus(String) - Constructor for class com.tibco.patterns.learn.api.feature.Thesaurus: Creates Thesaurus using the default thesaurus type SUBSTITUTION.
Thesaurus(String, Thesaurus.Type) - Constructor for class com.tibco.patterns.learn.api.feature.Thesaurus: Creates Thesaurus with the given name and type.
Thesaurus.Type - Enum in com.tibco.patterns.learn.api.feature: The type of a thesaurus file.
thesFileExists(String) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles
toBool() - Method in enum com.tibco.patterns.learn.api.project.RecPair.Label
toString() - Method in class com.tibco.patterns.learn.api.feature.AbstractQlt
toString() - Method in class com.tibco.patterns.learn.api.feature.Feature
toString() - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery
toString() - Method in class com.tibco.patterns.learn.api.feature.Thesaurus
toString() - Method in class com.tibco.patterns.learn.api.hint.DatasetStats
toString() - Method in class com.tibco.patterns.learn.api.hint.HintAddPairs
toString() - Method in class com.tibco.patterns.learn.api.hint.HintReviewPairs
toString() - Method in class com.tibco.patterns.learn.api.hint.SubsetFamily
toString() - Method in class com.tibco.patterns.learn.api.hint.SubsetLabelPairMap
toString() - Method in class com.tibco.patterns.learn.api.project.AddPairsResult
toString() - Method in class com.tibco.patterns.learn.api.project.DatasetResult
toString() - Method in class com.tibco.patterns.learn.api.project.FieldStats
toString() - Method in class com.tibco.patterns.learn.api.project.ModelSettings
toString() - Method in class com.tibco.patterns.learn.api.project.ModelTrainConfig
toString() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer
toString() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles
toString() - Method in class com.tibco.patterns.learn.api.project.ProjectSettings
toString() - Method in class com.tibco.patterns.learn.api.project.RecPair
toString() - Method in class com.tibco.patterns.learn.api.project.RecPairMap
toString() - Method in class com.tibco.patterns.learn.api.project.ValueFreq
toString() - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig
toString() - Method in class com.tibco.patterns.learn.modelconfig.STFixed
toString() - Method in class com.tibco.patterns.learn.modelconfig.STTaper
toString() - Method in class com.tibco.patterns.learn.modelconfig.SubsetTrainConfig
toString() - Method in class com.tibco.patterns.learn.recpair.RecPairExample
toString() - Method in class com.tibco.patterns.learn.recpair.RecPairId
toString() - Method in class com.tibco.patterns.learn.recpair.RecPairScorer
toString() - Method in class com.tibco.patterns.learn.rlink.ConfFeature
toString() - Method in class com.tibco.patterns.learn.rlink.ConfRatio
toString() - Method in class com.tibco.patterns.learn.rlink.ConfRatioLabel
toString() - Method in class com.tibco.patterns.learn.rlink.ConfStats
toString() - Method in class com.tibco.patterns.learn.rlink.PredictOptions
toString() - Method in class com.tibco.patterns.learn.rlink.RLinkOut
toString() - Method in class com.tibco.patterns.learn.training.COErrorRate
toString() - Method in class com.tibco.patterns.learn.training.COErrorRateMin
toString() - Method in class com.tibco.patterns.learn.training.COIterationCount
toString() - Method in class com.tibco.patterns.learn.training.COScoreChange
toString() - Method in class com.tibco.patterns.learn.training.FeatureVector
toString() - Method in class com.tibco.patterns.learn.training.RLinkDataSet
toString() - Method in class com.tibco.patterns.learn.training.VectorExample
TRAIN - com.tibco.patterns.learn.api.project.DataPartition: Training dataset - used to train the model.
TRAIN - com.tibco.patterns.learn.training.Partition: Training dataset
Trainer - Class in com.tibco.patterns.learn.training: Implements automated training for a single RLink model.
Trainer(int) - Constructor for class com.tibco.patterns.learn.training.Trainer: Creates a Trainer to train one existing model.
Trainer(int, boolean) - Constructor for class com.tibco.patterns.learn.training.Trainer: Creates a Trainer to train one existing model.
TrainingObserver - Interface in com.tibco.patterns.learn.training: Defines an object that gathers training statistics for a certain dataset.
trainIteration() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Performs a single training iteration.
trainIteration(RLinkExperiment<? extends VectorExample>, TrainingObserver, ConvergenceObserver) - Method in class com.tibco.patterns.learn.training.Trainer: Runs a single training iteration.
trainSet - Variable in class com.tibco.patterns.learn.training.RLinkExperiment: Training dataset
trainToConverge(ConvergenceObserver, ConvergenceObserver) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Trains the model using the model configuration from modelTrainConfig.xml file, or the default configuration if that file is not in the project directory.
trainToConverge(ConvergenceObserver, ConvergenceObserver, ModelConfig) - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Creates and trains model with the prepared experiment data until stopping criteria are satisfied.
trainToConverge(RLinkDataSet<? extends VectorExample>, ConvergenceObserver) - Method in class com.tibco.patterns.learn.training.Trainer: Uses the same set of examples for both training and validation.
trainToConverge(RLinkExperiment<? extends VectorExample>, ConvergenceObserver) - Method in class com.tibco.patterns.learn.training.Trainer: Trains the model until training termination criteria over the validation dataset (as specified in vldCO) are satisfied.
trainToConverge(RLinkExperiment<? extends VectorExample>, TrainingObserver, ConvergenceObserver) - Method in class com.tibco.patterns.learn.training.Trainer: Trains the model until training termination criteria over the validation dataset (as specified in vldCO) are satisfied, or until the model correctly predicts all examples in the training dataset.
TRUE - com.tibco.patterns.learn.api.project.RecPair.Label: A True label - records match.
typeName() - Method in enum com.tibco.patterns.learn.api.feature.Thesaurus.Type
typeNames() - Static method in enum com.tibco.patterns.learn.api.feature.Thesaurus.Type

U

UNSURE - com.tibco.patterns.learn.api.project.RecPair.Label: An Unsure label - user was not sure whether the records match.
update(RecPair) - Method in class com.tibco.patterns.learn.api.hint.DatasetStats: Updates statistics with the info about the pair that has been added to this dataset.
updateDataFileLastModified(int) - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Updates the stored last modified date of the data file.
updatePairsFromTable() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Updates field data in pairs from the (modified) data table.
upgradeXmlVersion(int) - Method in class com.tibco.patterns.learn.api.feature.FeatureQuery: v.4: build list of thesauri with default thesaurus type using all thesauri in querylets.
USE_DFT_BLUR_REGION_WIDTH - Static variable in class com.tibco.patterns.learn.rlink.ConfFeature: Special value to indicate that the server must use default blur region width.
usedValues() - Static method in enum com.tibco.patterns.learn.api.project.DataPartition: Lists partitions that are used in model training.
useInQuery(NetricsQuery) - Method in class com.tibco.patterns.learn.modelconfig.ConfQFeature: Configures the given query to use the feature confidence with its parameters.
useInQuery(NetricsQuery) - Method in class com.tibco.patterns.learn.modelconfig.ConfQNone: Configures the given query to use no confidence measure.
useInQuery(NetricsQuery) - Method in interface com.tibco.patterns.learn.modelconfig.ConfQuery: Configures the given query to use the confidence measure and its parameters represented by this object.
useSubsets(boolean) - Method in class com.tibco.patterns.learn.modelconfig.ModelConfig: Sets the model to take subsets into account (default), or to not use subsets and support more features.

V

ValueFreq - Class in com.tibco.patterns.learn.api.project: Stores one field value and its frequency.
ValueFreq(ValueFreqType) - Constructor for class com.tibco.patterns.learn.api.project.ValueFreq: Copies data from XML ValueFreqType.
ValueFreq(String, float) - Constructor for class com.tibco.patterns.learn.api.project.ValueFreq
valueOf(String) - Static method in enum com.tibco.patterns.learn.api.feature.Thesaurus.Type: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.tibco.patterns.learn.api.project.DataPartition: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.tibco.patterns.learn.api.project.RecPair.Label: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.tibco.patterns.learn.rlink.RLink.SubsetTrainMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.tibco.patterns.learn.rlink.RLink.ThermometerType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.tibco.patterns.learn.training.Partition: Returns the enum constant of this type with the specified name.
values() - Static method in enum com.tibco.patterns.learn.api.feature.Thesaurus.Type: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.tibco.patterns.learn.api.project.DataPartition: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.tibco.patterns.learn.api.project.RecPair.Label: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.tibco.patterns.learn.rlink.RLink.SubsetTrainMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.tibco.patterns.learn.rlink.RLink.ThermometerType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.tibco.patterns.learn.training.Partition: Returns an array containing the constants of this enum type, in the order they are declared.
VectorExample - Class in com.tibco.patterns.learn.training: Stores a feature vector and a label that are used for training the model.
VectorExample(double[], boolean) - Constructor for class com.tibco.patterns.learn.training.VectorExample: Creates example with given parameters and no prediction.
VectorExperiment - Class in com.tibco.patterns.learn.training: Manages a training dataset and a validation dataset.
VectorExperiment(int, double) - Constructor for class com.tibco.patterns.learn.training.VectorExperiment: Creates an experiment with two empty datasets and a new random number generator.
VectorExperiment(int, double, Random) - Constructor for class com.tibco.patterns.learn.training.VectorExperiment: Creates an experiment with two empty datasets.
VectorSet - Class in com.tibco.patterns.learn.training: A container for storing a set of VectorExample training examples.
VectorSet(int) - Constructor for class com.tibco.patterns.learn.training.VectorSet: Creates empty dataset.
VectorSet(int, int) - Constructor for class com.tibco.patterns.learn.training.VectorSet: Creates empty dataset.
verifyCanSetDataFile() - Method in class com.tibco.patterns.learn.api.project.ProjectFiles: Verifies that a data file can be assigned or replaced.
verifyDatasetProportion(double) - Static method in class com.tibco.patterns.learn.training.RLinkDataSet: Verifies the proportion of validation dataset as a percentage of all examples.
verifyDir(String, String) - Static method in class com.tibco.patterns.learn.api.project.ProjectFiles: Verifies that the structure of files and directories of the given project is correct without loading the entire project.
verifyHasModel() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer
verifyIterationBegun() - Method in class com.tibco.patterns.learn.training.COIterationCount: Use from methods that process incoming predictions to ensure that iteration has begun.
verifyIterationEnded() - Method in class com.tibco.patterns.learn.training.COIterationCount: Use from methods that return iteration results to ensure that iteration has ended.
verifyMissingInfoLimit(double) - Static method in class com.tibco.patterns.learn.rlink.RLink
verifyModelId(int) - Static method in class com.tibco.patterns.learn.rlink.RLink: Verifies that the model with the given modelId actually exists.
verifyServerTableLoaded() - Method in class com.tibco.patterns.learn.api.project.ModelTrainer: Verifies that the server table (not a table definition) was assigned, and that this table currently exists on the server.
verifyTaper(double, double) - Static method in class com.tibco.patterns.learn.rlink.RLink
VLD - com.tibco.patterns.learn.api.project.DataPartition: Validation dataset - used to evaluate model performance during training.
VLD - com.tibco.patterns.learn.training.Partition: Validation dataset
vldSet - Variable in class com.tibco.patterns.learn.training.RLinkExperiment: Validation dataset

W

WEIGHTED_TERM - com.tibco.patterns.learn.api.feature.Thesaurus.Type: Weighted term dictionary.
write(int, String) - Static method in class com.tibco.patterns.learn.rlink.RLink: Saves the existing model to file.

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