Index (ai-ml 1.0.0 API)

A C D E F G I L N O P Q R S T U
All Classes All Packages

A

addAttribute(int, IAttribute) - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchema
addAttribute(IAttribute) - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchema
apply(D) - Method in interface org.api4.java.ai.ml.core.filter.unsupervised.IInstanceFilter: Applies the filter's functionality to a specific dataset.
apply(I) - Method in interface org.api4.java.ai.ml.core.filter.unsupervised.IDatasetFilter: Applies the filter's functionality to a specific instance.

C

ContainsNonNumericAttributesException - Exception in org.api4.java.ai.ml.core.exception
ContainsNonNumericAttributesException(String) - Constructor for exception org.api4.java.ai.ml.core.exception.ContainsNonNumericAttributesException
ContainsNonNumericAttributesException(String, Throwable) - Constructor for exception org.api4.java.ai.ml.core.exception.ContainsNonNumericAttributesException
createCopy() - Method in interface org.api4.java.ai.ml.core.dataset.IDataset
createCopy() - Method in interface org.api4.java.ai.ml.core.dataset.IDataSource: Creates a copy of the dataset with the same meta data.
createEmptyCopy() - Method in interface org.api4.java.ai.ml.core.dataset.IDataset
createEmptyCopy() - Method in interface org.api4.java.ai.ml.core.dataset.IDataSource: Creates an empty copy of the dataset with the same meta data.
createEmptyCopy() - Method in interface org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset

D

DatasetCreationException - Exception in org.api4.java.ai.ml.core.exception
DatasetCreationException(String, Throwable) - Constructor for exception org.api4.java.ai.ml.core.exception.DatasetCreationException
DatasetCreationException(Throwable) - Constructor for exception org.api4.java.ai.ml.core.exception.DatasetCreationException
DatasetDeserializationFailedException - Exception in org.api4.java.ai.ml.core.dataset.serialization
DatasetDeserializationFailedException() - Constructor for exception org.api4.java.ai.ml.core.dataset.serialization.DatasetDeserializationFailedException
DatasetDeserializationFailedException(String) - Constructor for exception org.api4.java.ai.ml.core.dataset.serialization.DatasetDeserializationFailedException
DatasetDeserializationFailedException(String, Throwable) - Constructor for exception org.api4.java.ai.ml.core.dataset.serialization.DatasetDeserializationFailedException
DatasetDeserializationFailedException(String, Throwable, boolean, boolean) - Constructor for exception org.api4.java.ai.ml.core.dataset.serialization.DatasetDeserializationFailedException
DatasetDeserializationFailedException(Throwable) - Constructor for exception org.api4.java.ai.ml.core.dataset.serialization.DatasetDeserializationFailedException
DatasetTraceInstructionFailedException - Exception in org.api4.java.ai.ml.core.exception
DatasetTraceInstructionFailedException(Exception) - Constructor for exception org.api4.java.ai.ml.core.exception.DatasetTraceInstructionFailedException
decodeValue(double) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.INumericEncodingAttribute
deserializeAttributeValue(String) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IAttribute
deserializeDataset(IDatasetDescriptor) - Method in interface org.api4.java.ai.ml.core.dataset.serialization.IDatasetDeserializer

E

encodeValue(Object) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.INumericEncodingAttribute
execute(ISupervisedLearner<I, D>, D) - Method in interface org.api4.java.ai.ml.core.evaluation.execution.ISupervisedLearnerExecutor: Here, the classifier is assumed to be trained already
execute(ISupervisedLearner<I, D>, D, D) - Method in interface org.api4.java.ai.ml.core.evaluation.execution.ISupervisedLearnerExecutor

F

FilterApplicationFailedException - Exception in org.api4.java.ai.ml.core.filter
FilterApplicationFailedException() - Constructor for exception org.api4.java.ai.ml.core.filter.FilterApplicationFailedException
FilterApplicationFailedException(String) - Constructor for exception org.api4.java.ai.ml.core.filter.FilterApplicationFailedException
FilterApplicationFailedException(String, Throwable) - Constructor for exception org.api4.java.ai.ml.core.filter.FilterApplicationFailedException
FilterApplicationFailedException(String, Throwable, boolean, boolean) - Constructor for exception org.api4.java.ai.ml.core.filter.FilterApplicationFailedException
FilterApplicationFailedException(Throwable) - Constructor for exception org.api4.java.ai.ml.core.filter.FilterApplicationFailedException
fit(D) - Method in interface org.api4.java.ai.ml.core.learner.IFittable
fitAndPredict(D, D) - Method in interface org.api4.java.ai.ml.core.learner.IFittablePredictor
fitAndPredict(D, I) - Method in interface org.api4.java.ai.ml.core.learner.IFittablePredictor
fitAndPredict(D, I[]) - Method in interface org.api4.java.ai.ml.core.learner.IFittablePredictor
fitAndPredict(ILabeledDataset<? extends ILabeledInstance>, ILabeledDataset<? extends ILabeledInstance>) - Method in interface org.api4.java.ai.ml.classification.multilabel.learner.IMultiLabelClassifier
fitAndPredict(ILabeledDataset<? extends ILabeledInstance>, ILabeledDataset<? extends ILabeledInstance>) - Method in interface org.api4.java.ai.ml.classification.singlelabel.learner.ISingleLabelClassifier
fitAndPredict(ILabeledDataset<? extends ILabeledInstance>, ILabeledInstance) - Method in interface org.api4.java.ai.ml.classification.multilabel.learner.IMultiLabelClassifier
fitAndPredict(ILabeledDataset<? extends ILabeledInstance>, ILabeledInstance) - Method in interface org.api4.java.ai.ml.classification.singlelabel.learner.ISingleLabelClassifier
fitAndPredict(ILabeledDataset<? extends ILabeledInstance>, ILabeledInstance[]) - Method in interface org.api4.java.ai.ml.classification.multilabel.learner.IMultiLabelClassifier
fitAndPredict(ILabeledDataset<? extends ILabeledInstance>, ILabeledInstance[]) - Method in interface org.api4.java.ai.ml.classification.singlelabel.learner.ISingleLabelClassifier

G

get(int) - Method in interface org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassificationPredictionBatch
get(int) - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionBatch
getAlternative() - Method in interface org.api4.java.ai.ml.ranking.dyad.dataset.IDyad
getAsAttributeValue(double) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.INumericEncodingAttribute
getAsAttributeValue(Object) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IAttribute
getAsAttributeValue(Object) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.ICategoricalAttribute
getAsAttributeValue(Object) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IMultiLabelAttribute
getAsAttributeValue(Object) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.INumericAttribute
getAttribute() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IAttributeValue
getAttribute() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.ICategoricalAttributeValue
getAttribute() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.INumericAttributeValue
getAttribute() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IStringAttributeValue
getAttribute(int) - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchema
getAttribute(int) - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchemaHandler
getAttributeList() - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchema
getAttributes() - Method in interface org.api4.java.ai.ml.core.dataset.IInstance
getAttributeValue(int) - Method in interface org.api4.java.ai.ml.core.dataset.IInstance
getBaseMeasure() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure
getCastedView(Class<E1>, Class<A1>) - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable: In general, the processes that create a prediction by executing a learner do not know (and do not need to know) the concrete type of true labels and predictions over those.
getCertainty(ILabeledInstance, Object) - Method in interface org.api4.java.ai.ml.core.learner.IProbabilisticPredictor
getClassConfidence() - Method in interface org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification
getClassConfidence() - Method in interface org.api4.java.ai.ml.core.evaluation.IPrediction
getClassDistribution() - Method in interface org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification
getClassDistribution() - Method in interface org.api4.java.ai.ml.core.evaluation.IPrediction
getClassOfInstances() - Method in interface org.api4.java.ai.ml.core.dataset.IDataset
getComplementOfLastSample() - Method in interface org.api4.java.ai.ml.core.filter.unsupervised.sampling.ISamplingAlgorithm
getConfig() - Method in interface org.api4.java.ai.ml.core.learner.ILearnerConfigHandler
getContext() - Method in interface org.api4.java.ai.ml.ranking.dyad.dataset.IDyad
getConvergenceValue() - Method in interface org.api4.java.ai.ml.core.evaluation.learningcurve.IAnalyticalLearningCurve: Calculates or looks-up the value the learning curve converges to.
getCopy() - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchema
getCopy() - Method in interface org.api4.java.ai.ml.core.dataset.schema.ILabeledInstanceSchema
getCurveValue(double) - Method in interface org.api4.java.ai.ml.core.evaluation.learningcurve.ILearningCurve: Calculates or looks-up the curves value at a given point.
getData() - Method in interface org.api4.java.ai.ml.core.IDataConfigurable
getDataset() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IFixedDatasetSplitSetGenerator
getDatasetDescription() - Method in interface org.api4.java.ai.ml.core.dataset.descriptor.IDatasetDescriptor
getDatasetDescription() - Method in interface org.api4.java.ai.ml.core.dataset.descriptor.IFileDatasetDescriptor
getDatasetDescription() - Method in interface org.api4.java.ai.ml.core.dataset.descriptor.IStringDatasetDescriptor
getDerivativeCurveValue(double) - Method in interface org.api4.java.ai.ml.core.evaluation.learningcurve.IAnalyticalLearningCurve: Calculates or looks-up the value of the derivative of the learning point at a given point.
getDoublePrediction() - Method in interface org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction
getException() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.ILearnerRunReport
getFeatureMatrix() - Method in interface org.api4.java.ai.ml.core.dataset.IDataset
getFolds(int) - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IDatasetSplitSet
getGroundTruth(int) - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable
getGroundTruth(int) - Method in interface org.api4.java.ai.ml.ranking.IRankingPredictionAndGroundTruthTable
getGroundTruthAsArray() - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable
getGroundTruthAsArray() - Method in interface org.api4.java.ai.ml.ranking.IRankingPredictionAndGroundTruthTable
getGroundTruthAsList() - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable
getGroundTruthAsList() - Method in interface org.api4.java.ai.ml.ranking.IRankingPredictionAndGroundTruthTable
getInstanceSchema() - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchemaHandler
getInstanceSchema() - Method in interface org.api4.java.ai.ml.core.dataset.schema.ILabeledInstanceSchemaHandler
getIntLabel() - Method in interface org.api4.java.ai.ml.classification.singlelabel.dataset.ISingleLabelClassificationInstance
getIntPrediction() - Method in interface org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification
getIrrelevantLabels() - Method in interface org.api4.java.ai.ml.classification.multilabel.dataset.IMultiLabelSet
getIrrelevantLabels() - Method in interface org.api4.java.ai.ml.classification.multilabel.IRelevanceOrderedLabelSet
getIrrelevantLabels(double) - Method in interface org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification
getLabel() - Method in interface org.api4.java.ai.ml.classification.multilabel.dataset.IMultiLabelClassificationInstance
getLabel() - Method in interface org.api4.java.ai.ml.classification.singlelabel.dataset.ISingleLabelClassificationInstance
getLabel() - Method in interface org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance: Getter for the value of the target attribute.
getLabel() - Method in interface org.api4.java.ai.ml.ranking.dataset.IRankingInstance
getLabel() - Method in interface org.api4.java.ai.ml.regression.dataset.IRegressionInstance
getLabelAttribute() - Method in interface org.api4.java.ai.ml.core.dataset.schema.ILabeledInstanceSchema
getLabelAttribute() - Method in interface org.api4.java.ai.ml.core.dataset.schema.ILabeledInstanceSchemaHandler
getLabelOfCategory(Number) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.ICategoricalAttribute
getLabelRelevanceVector() - Method in interface org.api4.java.ai.ml.classification.multilabel.IRelevanceOrderedLabelSet
getLabelRelevanceVector(double) - Method in interface org.api4.java.ai.ml.classification.multilabel.IRelevanceOrderedLabelSet
getLabels() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.ICategoricalAttribute
getLabelScores() - Method in interface org.api4.java.ai.ml.classification.multilabel.dataset.IMultiLabelSet
getLabelSet() - Method in interface org.api4.java.ai.ml.classification.multilabel.dataset.IMultiLabelSet
getLabelVector() - Method in interface org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset
getLabelWithHighestProbability() - Method in interface org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification
getLabelWithHighestProbability() - Method in interface org.api4.java.ai.ml.core.evaluation.IPrediction
getListOfAttributes() - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchemaHandler
getName() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IAttribute
getNumAttributes() - Method in interface org.api4.java.ai.ml.core.dataset.IInstance
getNumAttributes() - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchema
getNumAttributes() - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchemaHandler
getNumberOfCategories() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.ICategoricalAttribute
getNumberOfFoldsPerSplit() - Method in interface org.api4.java.ai.ml.core.dataset.splitter.IDatasetSplitter
getNumberOfFoldsPerSplit() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IDatasetSplitSet
getNumberOfRankedElements() - Method in interface org.api4.java.ai.ml.ranking.dataset.IRankingInstance: Returns the number of ranked elements in this instance.
getNumberOfSplits() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IDatasetSplitSet
getNumFoldsPerSplit() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IDatasetSplitSetGenerator
getNumPredictions() - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionBatch
getNumSplitsPerSet() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IDatasetSplitSetGenerator
getObjectForRank(int) - Method in interface org.api4.java.ai.ml.ranking.IRanking: Retrieves the object for the given rank from this ranking.
getOutputDatasets(List<IDataset<? extends IInstance>>) - Method in interface org.api4.java.ai.ml.core.dataset.trace.IDatasetTraceInstruction
getPoint() - Method in interface org.api4.java.ai.ml.core.dataset.IInstance
getPointValue(int) - Method in interface org.api4.java.ai.ml.core.dataset.IInstance
getPool() - Method in interface org.api4.java.ai.ml.core.learner.active.IActiveLearningPoolProvider: Returns the pool of unlabeled instances.
getPrediction() - Method in interface org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification
getPrediction() - Method in interface org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification
getPrediction() - Method in interface org.api4.java.ai.ml.core.evaluation.IPrediction
getPrediction() - Method in interface org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction
getPrediction(double) - Method in interface org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification
getPrediction(double[]) - Method in interface org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification
getPrediction(int) - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable
getPrediction(int) - Method in interface org.api4.java.ai.ml.ranking.IRankingPredictionAndGroundTruthTable
getPredictionDiffList() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.ILearnerRunReport
getPredictionMatrix() - Method in interface org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassificationPredictionBatch
getPredictions() - Method in interface org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassificationPredictionBatch
getPredictions() - Method in interface org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassificationPredictionBatch
getPredictions() - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionBatch
getPredictions() - Method in interface org.api4.java.ai.ml.ranking.IRankingPredictionBatch
getPredictionsAsArray() - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable
getPredictionsAsArray() - Method in interface org.api4.java.ai.ml.ranking.IRankingPredictionAndGroundTruthTable
getPredictionsAsList() - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable
getPredictionsAsList() - Method in interface org.api4.java.ai.ml.ranking.IRankingPredictionAndGroundTruthTable
getProbabilityOfLabel(int) - Method in interface org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification
getProbabilityOfLabel(Object) - Method in interface org.api4.java.ai.ml.core.evaluation.IPrediction
getRankOfObject(O) - Method in interface org.api4.java.ai.ml.ranking.IRanking: Retrieves the rank for the given object from this ranking.
getRelationName() - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchema
getRelationName() - Method in interface org.api4.java.ai.ml.core.dataset.schema.ILabeledInstanceSchemaHandler
getRelevantLabels() - Method in interface org.api4.java.ai.ml.classification.multilabel.dataset.IMultiLabelSet
getRelevantLabels() - Method in interface org.api4.java.ai.ml.classification.multilabel.IRelevanceOrderedLabelSet
getRelevantLabels(double) - Method in interface org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification
getSaturationPoint(double) - Method in interface org.api4.java.ai.ml.core.evaluation.learningcurve.IAnalyticalLearningCurve: Calculated or search a saturation point with a tolerance of epsilon.
getStringDescriptionOfDomain() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IAttribute
getTestEndTime() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.ILearnerRunReport
getTestSet() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.ILearnerRunReport
getTestStartTime() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.ILearnerRunReport
getTestTimeEnd() - Method in exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionFailedException
getTestTimeEnd() - Method in exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionInterruptedException
getTestTimeStart() - Method in exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionFailedException
getTestTimeStart() - Method in exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionInterruptedException
getThresholdedPrediction() - Method in interface org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification
getThresholdedPredictionMatrix(double) - Method in interface org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassificationPredictionBatch
getThresholdedPredictionMatrix(double[]) - Method in interface org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassificationPredictionBatch
getTrainEndTime() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.ILearnerRunReport
getTrainSet() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.ILearnerRunReport
getTrainStartTime() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.ILearnerRunReport
getTrainTimeEnd() - Method in exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionFailedException
getTrainTimeEnd() - Method in exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionInterruptedException
getTrainTimeStart() - Method in exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionFailedException
getTrainTimeStart() - Method in exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionInterruptedException
getValue() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IAttributeValue
getValue() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.ICategoricalAttributeValue
getValue() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IMultiLabelAttributeValue
getValue() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.INumericAttributeValue
getValue() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IObjectAttributeValue
getValue() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IRankingAttributeValue
getValue() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.ISetOfObjectsAttributeValue
getValue() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IStringAttributeValue
getValue() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseries
getValue() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseriesAttributeValue
getValues() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IMultiLabelAttribute

I

IActiveLearningPoolProvider - Interface in org.api4.java.ai.ml.core.learner.active: Provides a sample pool for pool-based active learning.
IAggregatedPredictionPerformanceMeasure<E,A> - Interface in org.api4.java.ai.ml.core.evaluation.execution
IAnalyticalLearningCurve - Interface in org.api4.java.ai.ml.core.evaluation.learningcurve: Added some analytical functions to a learning curve.
IAttribute - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute: Wrapper interface for attribute types.
IAttributeValue - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IBatchPredictionAlgorithm<Y,I extends IInstance> - Interface in org.api4.java.ai.ml.core.learner.algorithm
ICategoricalAttribute - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute: Categorical attributes are, by definition, a set of pairs of integers and some string label.
ICategoricalAttributeValue - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IClassifier - Interface in org.api4.java.ai.ml.classification
IClassifierEvaluator - Interface in org.api4.java.ai.ml.classification
IClusterer - Interface in org.api4.java.ai.ml.clustering.learner
IDataConfigurable<D extends IDataset<? extends IInstance>> - Interface in org.api4.java.ai.ml.core
IDataset - Interface in org.api4.java.ai.ml.core.dataset
IDatasetDescriptor - Interface in org.api4.java.ai.ml.core.dataset.descriptor: IDatasetDescriptors describe with a string how a dataset should be constructed (including data acquisition and algorithmic transformations)
IDatasetDeserializer<D extends IDataset<?>> - Interface in org.api4.java.ai.ml.core.dataset.serialization: A dataset deserializer reads in the contents of a file to return it as a dataset object.
IDatasetFilter - Interface in org.api4.java.ai.ml.core.filter.unsupervised: This filter can be applied to single instances and may potentially even modify instances entirely.
IDatasetSplitSet<D extends IDataset<?>> - Interface in org.api4.java.ai.ml.core.evaluation.execution
IDatasetSplitSetGenerator<D extends IDataset<?>> - Interface in org.api4.java.ai.ml.core.evaluation.execution
IDatasetSplitter<D extends IDataset<?>> - Interface in org.api4.java.ai.ml.core.dataset.splitter
IDatasetTraceInstruction - Interface in org.api4.java.ai.ml.core.dataset.trace
IDataSource - Interface in org.api4.java.ai.ml.core.dataset: The general dataset interface.
IDatsetSerializer<D extends IDataset<?>> - Interface in org.api4.java.ai.ml.core.dataset.serialization
IDeterministicHomogeneousPredictionPerformanceMeasure<O> - Interface in org.api4.java.ai.ml.core.evaluation.supervised.loss: This interface is for performance measures applied to deterministic predictions (the learner has to commit to one label).
IDeterministicInstancePredictionPerformanceMeasure<O,P> - Interface in org.api4.java.ai.ml.core.evaluation.supervised.loss
IDeterministicPredictionPerformanceMeasure<E,A> - Interface in org.api4.java.ai.ml.core.evaluation.supervised.loss
IDyad - Interface in org.api4.java.ai.ml.ranking.dyad.dataset
IDyadRanker - Interface in org.api4.java.ai.ml.ranking.dyad.learner
IDyadRankingDataset - Interface in org.api4.java.ai.ml.ranking.dyad.dataset
IDyadRankingDataSource - Interface in org.api4.java.ai.ml.ranking.dyad.dataset
IDyadRankingInstance - Interface in org.api4.java.ai.ml.ranking.dyad.dataset
IFileDatasetDescriptor - Interface in org.api4.java.ai.ml.core.dataset.descriptor
IFilter - Interface in org.api4.java.ai.ml.core.filter
IFittable> - Interface in org.api4.java.ai.ml.core.learner
IFittablePredictor> - Interface in org.api4.java.ai.ml.core.learner
IFixedDatasetSplitSetGenerator<D extends IDataset<?>> - Interface in org.api4.java.ai.ml.core.evaluation.execution
IFoldSizeConfigurableRandomDatasetSplitter<D extends IDataset<?>> - Interface in org.api4.java.ai.ml.core.dataset.splitter
IGenericPredictionAlgorithm<Y,I> - Interface in org.api4.java.ai.ml.core.learner.algorithm
IInstance - Interface in org.api4.java.ai.ml.core.dataset: Instances implementing this interface have a feature description of the type X.
IInstanceFilter<D> - Interface in org.api4.java.ai.ml.core.filter.unsupervised: This filter can be applied to whole datasets and may potentially even modify datasets entirely.
IInstanceSchema - Interface in org.api4.java.ai.ml.core.dataset.schema
IInstanceSchemaHandler - Interface in org.api4.java.ai.ml.core.dataset.schema
ILabeledDataset - Interface in org.api4.java.ai.ml.core.dataset.supervised
ILabeledDataSource - Interface in org.api4.java.ai.ml.core.dataset.supervised: The supervised dataset is a list (ordered collection) of instances.
ILabeledInstance - Interface in org.api4.java.ai.ml.core.dataset.supervised: Interface of an instance that has a target value.
ILabeledInstanceSchema - Interface in org.api4.java.ai.ml.core.dataset.schema
ILabeledInstanceSchemaHandler - Interface in org.api4.java.ai.ml.core.dataset.schema
ILabelRanker - Interface in org.api4.java.ai.ml.ranking.label.learner
ILabelRankingDataset - Interface in org.api4.java.ai.ml.ranking.label.dataset
ILabelRankingDataSource - Interface in org.api4.java.ai.ml.ranking.label.dataset
ILabelRankingInstance - Interface in org.api4.java.ai.ml.ranking.label.dataset
ILearnerConfigHandler - Interface in org.api4.java.ai.ml.core.learner
ILearnerRunReport - Interface in org.api4.java.ai.ml.core.evaluation.execution
ILearningCurve - Interface in org.api4.java.ai.ml.core.evaluation.learningcurve: Interface for the result of an learning curve extrapolation.
IMLModel - Interface in org.api4.java.ai.ml.core.learner
IMultiLabelAttribute - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IMultiLabelAttributeValue - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IMultiLabelClassification - Interface in org.api4.java.ai.ml.classification.multilabel.evaluation
IMultiLabelClassificationDataset - Interface in org.api4.java.ai.ml.classification.multilabel.dataset
IMultiLabelClassificationDataSource - Interface in org.api4.java.ai.ml.classification.multilabel.dataset
IMultiLabelClassificationInstance - Interface in org.api4.java.ai.ml.classification.multilabel.dataset
IMultiLabelClassificationPredictionBatch - Interface in org.api4.java.ai.ml.classification.multilabel.evaluation
IMultiLabelClassificationPredictionPerformanceMeasure - Interface in org.api4.java.ai.ml.classification.multilabel.evaluation.loss
IMultiLabelClassifier - Interface in org.api4.java.ai.ml.classification.multilabel.learner
IMultiLabelSet - Interface in org.api4.java.ai.ml.classification.multilabel.dataset
INumericAttribute - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
INumericAttributeValue - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
INumericEncodingAttribute - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IObjectAttribute<O> - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IObjectAttributeValue<O> - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IOrdinalAttribute - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IOrdinalAttributeValue - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IPrediction - Interface in org.api4.java.ai.ml.core.evaluation
IPredictionAlgorithm<Y,I extends IInstance> - Interface in org.api4.java.ai.ml.core.learner.algorithm
IPredictionAndGroundTruthTable<E,A> - Interface in org.api4.java.ai.ml.core.evaluation
IPredictionBatch - Interface in org.api4.java.ai.ml.core.evaluation
IPredictionPerformanceMetricConfigurable - Interface in org.api4.java.ai.ml.core.evaluation
IPredictor> - Interface in org.api4.java.ai.ml.core.learner
IProbabilisticPredictor - Interface in org.api4.java.ai.ml.core.learner
IRandomDatasetSplitter<D extends IDataset<?>> - Interface in org.api4.java.ai.ml.core.dataset.splitter
IRanker<O,I extends IRankingInstance<O>,D extends IRankingDataset<O,I>> - Interface in org.api4.java.ai.ml.ranking.learner
IRanking<O> - Interface in org.api4.java.ai.ml.ranking: A ranking is a function mapping assigning each object of a set of objects a rank, i.e. a number between 1 and the total number of objects.
IRankingAttribute<O> - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IRankingAttributeValue<O> - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IRankingDataset<O,I extends IRankingInstance<O>> - Interface in org.api4.java.ai.ml.ranking.dataset
IRankingDataSource<O,I extends IRankingInstance<O>> - Interface in org.api4.java.ai.ml.ranking.dataset
IRankingInstance<O> - Interface in org.api4.java.ai.ml.ranking.dataset
IRankingPredictionAndGroundTruthTable - Interface in org.api4.java.ai.ml.ranking
IRankingPredictionBatch - Interface in org.api4.java.ai.ml.ranking
IRankingPredictionPerformanceMeasure - Interface in org.api4.java.ai.ml.ranking.loss
IRegressionDataset - Interface in org.api4.java.ai.ml.regression.dataset
IRegressionDataSource - Interface in org.api4.java.ai.ml.regression.dataset
IRegressionInstance - Interface in org.api4.java.ai.ml.regression.dataset
IRegressionPrediction - Interface in org.api4.java.ai.ml.regression.evaluation
IRegressionPredictionAndGroundTruthTable - Interface in org.api4.java.ai.ml.regression.evaluation
IRegressionResultBatch - Interface in org.api4.java.ai.ml.regression.evaluation
IRegressor - Interface in org.api4.java.ai.ml.regression.learner
IRelevanceOrderedLabelSet - Interface in org.api4.java.ai.ml.classification.multilabel: Contains the labels in descending order of their relevance.
ISamplingAlgorithm<D extends IDataset<?>> - Interface in org.api4.java.ai.ml.core.filter.unsupervised.sampling: Interface for sampling algorithms.
isAttributeValuePresent(int) - Method in interface org.api4.java.ai.ml.core.dataset.IInstance
isBinary() - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.ICategoricalAttribute
ISelectiveSamplingStrategy - Interface in org.api4.java.ai.ml.core.learner.active: A strategy for selective sampling.
ISetOfObjectsAttribute<O> - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
ISetOfObjectsAttributeValue<O> - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
ISingleLabelClassification - Interface in org.api4.java.ai.ml.classification.singlelabel.evaluation: Interface for classifier that predict a single label among a constant number.
ISingleLabelClassificationDataset - Interface in org.api4.java.ai.ml.classification.singlelabel.dataset
ISingleLabelClassificationDataSource - Interface in org.api4.java.ai.ml.classification.singlelabel.dataset
ISingleLabelClassificationInstance - Interface in org.api4.java.ai.ml.classification.singlelabel.dataset
ISingleLabelClassificationPredictionBatch - Interface in org.api4.java.ai.ml.classification.singlelabel.evaluation
ISingleLabelClassifier - Interface in org.api4.java.ai.ml.classification.singlelabel.learner
ISingleLabelClassifierExecutor - Interface in org.api4.java.ai.ml.classification.singlelabel.evaluation
isLabelPresent() - Method in interface org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance: Tells whether the label is really there.
IStringAttribute - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IStringAttributeValue - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IStringDatasetDescriptor - Interface in org.api4.java.ai.ml.core.dataset.descriptor
ISupervisedDatasetSplitter<D extends ILabeledDataset<?>> - Interface in org.api4.java.ai.ml.core.dataset.splitter
ISupervisedFilter - Interface in org.api4.java.ai.ml.core.filter.supervised
ISupervisedFitAlgorithm,M extends IMLModel> - Interface in org.api4.java.ai.ml.core.learner.algorithm: A fit algorithm can be used to induce a IMLModel from a supervised data source.
ISupervisedLearner> - Interface in org.api4.java.ai.ml.core.learner
ISupervisedLearnerEvaluator> - Interface in org.api4.java.ai.ml.core.evaluation
ISupervisedLearnerExecutor - Interface in org.api4.java.ai.ml.core.evaluation.execution
ISupervisedSamplingAlgorithm<D extends ILabeledDataset<?>> - Interface in org.api4.java.ai.ml.core.filter.supervised.sampling
isValidValue(Object) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IAttribute: Validates whether a value conforms to this type.
ITimeseries<Y> - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
ITimeseriesAttribute<Y> - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
ITimeseriesAttributeValue<Y> - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IUnsupervisedFilter - Interface in org.api4.java.ai.ml.core.filter.unsupervised
IUnsupervisedFitAlgorithm<X,I extends IInstance,D extends IDataSource,M extends IMLModel> - Interface in org.api4.java.ai.ml.core.learner.algorithm
IUnsupervisedLearner> - Interface in org.api4.java.ai.ml.core.learner

L

LearnerConfigurationFailedException - Exception in org.api4.java.ai.ml.core.exception
LearnerConfigurationFailedException() - Constructor for exception org.api4.java.ai.ml.core.exception.LearnerConfigurationFailedException
LearnerConfigurationFailedException(String) - Constructor for exception org.api4.java.ai.ml.core.exception.LearnerConfigurationFailedException
LearnerConfigurationFailedException(String, Throwable) - Constructor for exception org.api4.java.ai.ml.core.exception.LearnerConfigurationFailedException
LearnerConfigurationFailedException(Throwable) - Constructor for exception org.api4.java.ai.ml.core.exception.LearnerConfigurationFailedException
LearnerExecutionFailedException - Exception in org.api4.java.ai.ml.core.evaluation.execution
LearnerExecutionFailedException(long, long, long, long, Exception) - Constructor for exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionFailedException
LearnerExecutionFailedException(long, long, long, long, String) - Constructor for exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionFailedException
LearnerExecutionFailedException(long, long, long, long, String, Exception) - Constructor for exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionFailedException
LearnerExecutionFailedException(long, long, Exception) - Constructor for exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionFailedException
LearnerExecutionFailedException(long, long, String) - Constructor for exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionFailedException
LearnerExecutionFailedException(long, long, String, Exception) - Constructor for exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionFailedException
LearnerExecutionInterruptedException - Exception in org.api4.java.ai.ml.core.evaluation.execution
LearnerExecutionInterruptedException(long, long) - Constructor for exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionInterruptedException
LearnerExecutionInterruptedException(long, long, long, long) - Constructor for exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionInterruptedException
LearnerExecutionInterruptedException(long, long, long, long, String) - Constructor for exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionInterruptedException
LearnerExecutionInterruptedException(long, long, String) - Constructor for exception org.api4.java.ai.ml.core.evaluation.execution.LearnerExecutionInterruptedException
loss(List<? extends E>, List<? extends A>) - Method in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure
loss(List<List<? extends E>>, List<List<? extends A>>) - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure
loss(List<IPredictionAndGroundTruthTable<? extends E, ? extends A>>) - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure
loss(IPredictionAndGroundTruthTable<? extends E, ? extends A>) - Method in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure
loss(P, O) - Method in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure

N

nextQueryInstance() - Method in interface org.api4.java.ai.ml.core.learner.active.ISelectiveSamplingStrategy: Chooses the IInstance to query next.
nextSample() - Method in interface org.api4.java.ai.ml.core.filter.unsupervised.sampling.ISamplingAlgorithm
nextSplitSet() - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IFixedDatasetSplitSetGenerator
nextSplitSet(D) - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IDatasetSplitSetGenerator
nextSplitSet(D) - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IFixedDatasetSplitSetGenerator
NoValidAttributeValueException - Exception in org.api4.java.ai.ml.core.dataset.schema.attribute
NoValidAttributeValueException() - Constructor for exception org.api4.java.ai.ml.core.dataset.schema.attribute.NoValidAttributeValueException
NoValidAttributeValueException(String) - Constructor for exception org.api4.java.ai.ml.core.dataset.schema.attribute.NoValidAttributeValueException
NoValidAttributeValueException(String, Throwable) - Constructor for exception org.api4.java.ai.ml.core.dataset.schema.attribute.NoValidAttributeValueException
NoValidAttributeValueException(Throwable) - Constructor for exception org.api4.java.ai.ml.core.dataset.schema.attribute.NoValidAttributeValueException

O

org.api4.java.ai.ml.classification - package org.api4.java.ai.ml.classification
org.api4.java.ai.ml.classification.multilabel - package org.api4.java.ai.ml.classification.multilabel
org.api4.java.ai.ml.classification.multilabel.dataset - package org.api4.java.ai.ml.classification.multilabel.dataset
org.api4.java.ai.ml.classification.multilabel.evaluation - package org.api4.java.ai.ml.classification.multilabel.evaluation
org.api4.java.ai.ml.classification.multilabel.evaluation.loss - package org.api4.java.ai.ml.classification.multilabel.evaluation.loss
org.api4.java.ai.ml.classification.multilabel.learner - package org.api4.java.ai.ml.classification.multilabel.learner
org.api4.java.ai.ml.classification.singlelabel.dataset - package org.api4.java.ai.ml.classification.singlelabel.dataset
org.api4.java.ai.ml.classification.singlelabel.evaluation - package org.api4.java.ai.ml.classification.singlelabel.evaluation
org.api4.java.ai.ml.classification.singlelabel.learner - package org.api4.java.ai.ml.classification.singlelabel.learner
org.api4.java.ai.ml.clustering.learner - package org.api4.java.ai.ml.clustering.learner
org.api4.java.ai.ml.core - package org.api4.java.ai.ml.core
org.api4.java.ai.ml.core.dataset - package org.api4.java.ai.ml.core.dataset
org.api4.java.ai.ml.core.dataset.descriptor - package org.api4.java.ai.ml.core.dataset.descriptor
org.api4.java.ai.ml.core.dataset.schema - package org.api4.java.ai.ml.core.dataset.schema
org.api4.java.ai.ml.core.dataset.schema.attribute - package org.api4.java.ai.ml.core.dataset.schema.attribute
org.api4.java.ai.ml.core.dataset.serialization - package org.api4.java.ai.ml.core.dataset.serialization
org.api4.java.ai.ml.core.dataset.splitter - package org.api4.java.ai.ml.core.dataset.splitter
org.api4.java.ai.ml.core.dataset.supervised - package org.api4.java.ai.ml.core.dataset.supervised
org.api4.java.ai.ml.core.dataset.trace - package org.api4.java.ai.ml.core.dataset.trace
org.api4.java.ai.ml.core.evaluation - package org.api4.java.ai.ml.core.evaluation
org.api4.java.ai.ml.core.evaluation.execution - package org.api4.java.ai.ml.core.evaluation.execution
org.api4.java.ai.ml.core.evaluation.learningcurve - package org.api4.java.ai.ml.core.evaluation.learningcurve
org.api4.java.ai.ml.core.evaluation.supervised.loss - package org.api4.java.ai.ml.core.evaluation.supervised.loss
org.api4.java.ai.ml.core.exception - package org.api4.java.ai.ml.core.exception
org.api4.java.ai.ml.core.filter - package org.api4.java.ai.ml.core.filter
org.api4.java.ai.ml.core.filter.supervised - package org.api4.java.ai.ml.core.filter.supervised
org.api4.java.ai.ml.core.filter.supervised.sampling - package org.api4.java.ai.ml.core.filter.supervised.sampling
org.api4.java.ai.ml.core.filter.unsupervised - package org.api4.java.ai.ml.core.filter.unsupervised
org.api4.java.ai.ml.core.filter.unsupervised.sampling - package org.api4.java.ai.ml.core.filter.unsupervised.sampling
org.api4.java.ai.ml.core.learner - package org.api4.java.ai.ml.core.learner
org.api4.java.ai.ml.core.learner.active - package org.api4.java.ai.ml.core.learner.active
org.api4.java.ai.ml.core.learner.algorithm - package org.api4.java.ai.ml.core.learner.algorithm
org.api4.java.ai.ml.ranking - package org.api4.java.ai.ml.ranking
org.api4.java.ai.ml.ranking.dataset - package org.api4.java.ai.ml.ranking.dataset
org.api4.java.ai.ml.ranking.dyad.dataset - package org.api4.java.ai.ml.ranking.dyad.dataset
org.api4.java.ai.ml.ranking.dyad.learner - package org.api4.java.ai.ml.ranking.dyad.learner
org.api4.java.ai.ml.ranking.label.dataset - package org.api4.java.ai.ml.ranking.label.dataset
org.api4.java.ai.ml.ranking.label.learner - package org.api4.java.ai.ml.ranking.label.learner
org.api4.java.ai.ml.ranking.learner - package org.api4.java.ai.ml.ranking.learner
org.api4.java.ai.ml.ranking.loss - package org.api4.java.ai.ml.ranking.loss
org.api4.java.ai.ml.regression.dataset - package org.api4.java.ai.ml.regression.dataset
org.api4.java.ai.ml.regression.evaluation - package org.api4.java.ai.ml.regression.evaluation
org.api4.java.ai.ml.regression.learner - package org.api4.java.ai.ml.regression.learner

P

predict(D) - Method in interface org.api4.java.ai.ml.core.learner.IPredictor
predict(I) - Method in interface org.api4.java.ai.ml.core.learner.IPredictor
predict(I) - Method in interface org.api4.java.ai.ml.ranking.learner.IRanker
predict(I[]) - Method in interface org.api4.java.ai.ml.core.learner.IPredictor
predict(ILabeledDataset<? extends ILabeledInstance>) - Method in interface org.api4.java.ai.ml.classification.multilabel.learner.IMultiLabelClassifier
predict(ILabeledDataset<? extends ILabeledInstance>) - Method in interface org.api4.java.ai.ml.classification.singlelabel.learner.ISingleLabelClassifier
predict(ILabeledDataset<ILabeledInstance>) - Method in interface org.api4.java.ai.ml.core.filter.IFilter
predict(ILabeledInstance) - Method in interface org.api4.java.ai.ml.classification.multilabel.learner.IMultiLabelClassifier
predict(ILabeledInstance) - Method in interface org.api4.java.ai.ml.classification.singlelabel.learner.ISingleLabelClassifier
predict(ILabeledInstance) - Method in interface org.api4.java.ai.ml.core.filter.IFilter
predict(ILabeledInstance[]) - Method in interface org.api4.java.ai.ml.classification.multilabel.learner.IMultiLabelClassifier
predict(ILabeledInstance[]) - Method in interface org.api4.java.ai.ml.classification.singlelabel.learner.ISingleLabelClassifier
PredictionException - Exception in org.api4.java.ai.ml.core.exception: The PredictionException indicates that an error occurred during a prediction process.
PredictionException(String) - Constructor for exception org.api4.java.ai.ml.core.exception.PredictionException: Creates a new PredictionException with the given parameters.
PredictionException(String, Throwable) - Constructor for exception org.api4.java.ai.ml.core.exception.PredictionException: Creates a new PredictionException with the given parameters.

Q

query(I) - Method in interface org.api4.java.ai.ml.core.learner.active.IActiveLearningPoolProvider: Labels the given instance.

R

removeAttribute(int) - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchema
removeColumn(int) - Method in interface org.api4.java.ai.ml.core.dataset.IDataset
removeColumn(int) - Method in interface org.api4.java.ai.ml.core.dataset.IInstance
removeColumn(String) - Method in interface org.api4.java.ai.ml.core.dataset.IDataset
removeColumn(IAttribute) - Method in interface org.api4.java.ai.ml.core.dataset.IDataset
replaceLabelAttribute(IAttribute) - Method in interface org.api4.java.ai.ml.core.dataset.schema.ILabeledInstanceSchema

S

score(List<? extends E>, List<? extends A>) - Method in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure
score(List<List<? extends E>>, List<List<? extends A>>) - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure
score(List<IPredictionAndGroundTruthTable<? extends E, ? extends A>>) - Method in interface org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure
score(IPredictionAndGroundTruthTable<? extends E, ? extends A>) - Method in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure
score(P, O) - Method in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure
serializeAttributeValue(Object) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IAttribute
serializeDataset(D, File) - Method in interface org.api4.java.ai.ml.core.dataset.serialization.IDatsetSerializer
setAttributeValue(int, Object) - Method in interface org.api4.java.ai.ml.core.dataset.IInstance: Sets the value of the attribute at position pos to a new value as provided as an argument.
setAttributeValue(int, Object) - Method in interface org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance: Sets the value of the attribute at position pos to a new value as provided as an argument.
setConfig(Map<String, Object>) - Method in interface org.api4.java.ai.ml.core.learner.ILearnerConfigHandler: Sets the the configuration to the set values.
setData(D) - Method in interface org.api4.java.ai.ml.core.IDataConfigurable
setLabel(Object) - Method in interface org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance: Sets the label of this instance to a new value as provided as an argument.
setMeasure(IDeterministicPredictionPerformanceMeasure<?, ?>) - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionPerformanceMetricConfigurable
size() - Method in interface org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable
split(D) - Method in interface org.api4.java.ai.ml.core.dataset.splitter.IDatasetSplitter
split(D) - Method in interface org.api4.java.ai.ml.core.dataset.splitter.IRandomDatasetSplitter
split(D, Random) - Method in interface org.api4.java.ai.ml.core.dataset.splitter.IRandomDatasetSplitter
split(D, Random, double...) - Method in interface org.api4.java.ai.ml.core.dataset.splitter.IFoldSizeConfigurableRandomDatasetSplitter
SplitFailedException - Exception in org.api4.java.ai.ml.core.dataset.splitter
SplitFailedException() - Constructor for exception org.api4.java.ai.ml.core.dataset.splitter.SplitFailedException
SplitFailedException(String) - Constructor for exception org.api4.java.ai.ml.core.dataset.splitter.SplitFailedException
SplitFailedException(String, Throwable) - Constructor for exception org.api4.java.ai.ml.core.dataset.splitter.SplitFailedException
SplitFailedException(Throwable) - Constructor for exception org.api4.java.ai.ml.core.dataset.splitter.SplitFailedException

T

toDouble(Object) - Method in interface org.api4.java.ai.ml.core.dataset.schema.attribute.IAttribute
toDoubleVector() - Method in interface org.api4.java.ai.ml.ranking.dyad.dataset.IDyad
TrainingException - Exception in org.api4.java.ai.ml.core.exception: The TrainingException indicates that an error occurred during a training process.
TrainingException(String) - Constructor for exception org.api4.java.ai.ml.core.exception.TrainingException: Creates a new TrainingException with the given parameters.
TrainingException(String, Throwable) - Constructor for exception org.api4.java.ai.ml.core.exception.TrainingException: Creates a new TrainingException with the given parameters.

U

UnsupportedAttributeTypeException - Exception in org.api4.java.ai.ml.core.dataset.serialization
UnsupportedAttributeTypeException() - Constructor for exception org.api4.java.ai.ml.core.dataset.serialization.UnsupportedAttributeTypeException
UnsupportedAttributeTypeException(String) - Constructor for exception org.api4.java.ai.ml.core.dataset.serialization.UnsupportedAttributeTypeException
UnsupportedAttributeTypeException(String, Throwable) - Constructor for exception org.api4.java.ai.ml.core.dataset.serialization.UnsupportedAttributeTypeException
UnsupportedAttributeTypeException(String, Throwable, boolean, boolean) - Constructor for exception org.api4.java.ai.ml.core.dataset.serialization.UnsupportedAttributeTypeException
UnsupportedAttributeTypeException(Throwable) - Constructor for exception org.api4.java.ai.ml.core.dataset.serialization.UnsupportedAttributeTypeException

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