Index (ai.ml 0.0.1 API)

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

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
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.

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
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
deserializeDataset(File) - 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

F

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

G

get(int) - Method in interface org.api4.java.ai.ml.core.dataset.IDataset
get(int) - Method in interface org.api4.java.ai.ml.core.learner.algorithm.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
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
getAttributeValue(int) - Method in interface org.api4.java.ai.ml.core.dataset.IInstance
getCertainty(ILabeledInstance, Object) - Method in interface org.api4.java.ai.ml.core.learner.IProbabilisticPredictor
getClassDistribution() - Method in interface org.api4.java.ai.ml.classification.singlelabel.learner.ISingleLabelClassificationPrediction
getConfig() - Method in interface org.api4.java.ai.ml.core.learner.ILearnerConfigHandler
getConvergenceValue() - Method in interface org.api4.java.ai.ml.core.evaluation.learningcurve.IAnalyticalLearningCurve: Calculates or looks-up the value the learning curve converges to.
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.
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.
getFeatureMatrix() - Method in interface org.api4.java.ai.ml.core.dataset.IDataset
getInstance() - Method in interface org.api4.java.ai.ml.ranking.dyad.dataset.IDyad
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
getIrrelevantLabels() - Method in interface org.api4.java.ai.ml.classification.multilabel.dataset.IMultiLabelSet
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
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.learner.ISingleLabelClassificationPrediction
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.schema.IInstanceSchema
getNumAttributes() - Method in interface org.api4.java.ai.ml.core.dataset.schema.IInstanceSchemaHandler
getNumPredictions() - Method in interface org.api4.java.ai.ml.core.learner.algorithm.IPredictionBatch
getObjectForRank(int) - Method in interface org.api4.java.ai.ml.ranking.dataset.IRanking: Retrieves the object for the given rank from this ranking.
getOutputDatasets(List<D>) - 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.core.learner.algorithm.IPrediction
getPrediction() - Method in interface org.api4.java.ai.ml.ranking.label.learner.ILabelRankingPrediction
getProbabilityOfLabel(String) - Method in interface org.api4.java.ai.ml.classification.singlelabel.learner.ISingleLabelClassificationPrediction
getRankOfObject(O) - Method in interface org.api4.java.ai.ml.ranking.dataset.IRanking: Retrieves the rank for the given object from this ranking.
getRelevantLabels() - Method in interface org.api4.java.ai.ml.classification.multilabel.dataset.IMultiLabelSet
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
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.IStringAttributeValue
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.ICategoricalAttribute

I

IActiveLearningPoolProvider - Interface in org.api4.java.ai.ml.core.learner.active: Provides a sample pool for pool-based active learning.
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
IBatchLossFunction<Y> - Interface in org.api4.java.ai.ml.core.evaluation.loss
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
ICategoricalAttributeValue - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IClassificationLossFunction - Interface in org.api4.java.ai.ml.classification.singlelabel.loss
IClassifier> - Interface in org.api4.java.ai.ml.classification
IClusterer - Interface in org.api4.java.ai.ml.clustering.learner
IDataset - Interface in org.api4.java.ai.ml.core.dataset
IDatasetDeserializer<D> - 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.
IDatasetSplitter> - 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> - Interface in org.api4.java.ai.ml.core.dataset.serialization
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
IFittable> - Interface in org.api4.java.ai.ml.core.learner
IFittablePredictor> - Interface in org.api4.java.ai.ml.core.learner
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.
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
ILabelRankingPrediction - Interface in org.api4.java.ai.ml.ranking.label.learner
ILearnerConfigHandler - Interface in org.api4.java.ai.ml.core.learner
ILearningCurve - Interface in org.api4.java.ai.ml.core.evaluation.learningcurve: Interface for the result of an learning curve extrapolation.
ILossFunction<Y> - Interface in org.api4.java.ai.ml.core.evaluation.loss: A loss function is defined for a domain quantizing the error of an elment in a domain D compared to the ground truth.
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
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
IMultiLabelClassificationLossFunction - Interface in org.api4.java.ai.ml.classification.multilabel.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.learner.algorithm
IPredictionAlgorithm<Y,I extends IInstance> - Interface in org.api4.java.ai.ml.core.learner.algorithm
IPredictionBatch - Interface in org.api4.java.ai.ml.core.learner.algorithm
IPredictor> - Interface in org.api4.java.ai.ml.core.learner
IProbabilisticPredictor - Interface in org.api4.java.ai.ml.core.learner
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.dataset: 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
IRankingLossFunction - Interface in org.api4.java.ai.ml.ranking.loss
IRankingPrediction - Interface in org.api4.java.ai.ml.ranking
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
IRegressor - Interface in org.api4.java.ai.ml.regression.learner
ISamplingAlgorithm> - Interface in org.api4.java.ai.ml.core.filter.unsupervised.sampling: Interface for sampling algorithms.
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.
ISingleLabelClassificationBatchLossFunction - Interface in org.api4.java.ai.ml.classification.singlelabel.loss
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
ISingleLabelClassificationPrediction - Interface in org.api4.java.ai.ml.classification.singlelabel.learner
ISingleLabelClassifier - Interface in org.api4.java.ai.ml.classification.singlelabel.learner
IStringAttribute - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
IStringAttributeValue - Interface in org.api4.java.ai.ml.core.dataset.schema.attribute
ISupervisedDatasetSplitter> - Interface in org.api4.java.ai.ml.core.dataset.splitter
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
ISupervisedSamplingAlgorithm> - 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.
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
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
loss(Y, Y) - Method in interface org.api4.java.ai.ml.core.evaluation.loss.ILossFunction: Computes and returns the loss for the given element with respect to the ground truth value.

N

nextQueryInstance() - Method in interface org.api4.java.ai.ml.core.learner.active.ISelectiveSamplingStrategy: Chooses the IInstance to query next.
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.dataset - package org.api4.java.ai.ml.classification.multilabel.dataset
org.api4.java.ai.ml.classification.multilabel.learner - package org.api4.java.ai.ml.classification.multilabel.learner
org.api4.java.ai.ml.classification.multilabel.loss - package org.api4.java.ai.ml.classification.multilabel.loss
org.api4.java.ai.ml.classification.singlelabel.dataset - package org.api4.java.ai.ml.classification.singlelabel.dataset
org.api4.java.ai.ml.classification.singlelabel.learner - package org.api4.java.ai.ml.classification.singlelabel.learner
org.api4.java.ai.ml.classification.singlelabel.loss - package org.api4.java.ai.ml.classification.singlelabel.loss
org.api4.java.ai.ml.clustering.learner - package org.api4.java.ai.ml.clustering.learner
org.api4.java.ai.ml.core.dataset - package org.api4.java.ai.ml.core.dataset
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.learningcurve - package org.api4.java.ai.ml.core.evaluation.learningcurve
org.api4.java.ai.ml.core.evaluation.loss - package org.api4.java.ai.ml.core.evaluation.loss
org.api4.java.ai.ml.core.exception - package org.api4.java.ai.ml.core.exception
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.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.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(ISingleLabelClassificationInstance) - 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.

S

serializeDataset(D, File) - Method in interface org.api4.java.ai.ml.core.dataset.serialization.IDatsetSerializer
setConfig(Map<String, Object>) - Method in interface org.api4.java.ai.ml.core.learner.ILearnerConfigHandler: Sets the the configuration to the set values.
split(D) - Method in interface org.api4.java.ai.ml.core.dataset.splitter.IDatasetSplitter
split(D, long) - Method in interface org.api4.java.ai.ml.core.dataset.splitter.IDatasetSplitter
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

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.

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