Hierarchy For All Packages

Package Hierarchies:

• ai.libs.jaicore.ml.classification.loss,
• ai.libs.jaicore.ml.classification.loss.dataset,
• ai.libs.jaicore.ml.classification.loss.instance,
• ai.libs.jaicore.ml.classification.multilabel,
• ai.libs.jaicore.ml.classification.multilabel.evaluation.loss,
• ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive,
• ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.choquistic,
• ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.owa,
• ai.libs.jaicore.ml.classification.singlelabel,
• ai.libs.jaicore.ml.classification.singlelabel.learner,
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset,
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.attribute,
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.exception,
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter,
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner,
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors,
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.model,
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.quality,
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets,
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.search,
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.util,
• ai.libs.jaicore.ml.clustering.learner,
• ai.libs.jaicore.ml.core,
• ai.libs.jaicore.ml.core.dataset,
• ai.libs.jaicore.ml.core.dataset.clusterable,
• ai.libs.jaicore.ml.core.dataset.schema,
• ai.libs.jaicore.ml.core.dataset.schema.attribute,
• ai.libs.jaicore.ml.core.dataset.serialization,
• ai.libs.jaicore.ml.core.dataset.serialization.arff,
• ai.libs.jaicore.ml.core.dataset.splitter,
• ai.libs.jaicore.ml.core.dataset.util,
• ai.libs.jaicore.ml.core.evaluation,
• ai.libs.jaicore.ml.core.evaluation.evaluator,
• ai.libs.jaicore.ml.core.evaluation.evaluator.events,
• ai.libs.jaicore.ml.core.evaluation.evaluator.factory,
• ai.libs.jaicore.ml.core.evaluation.experiment,
• ai.libs.jaicore.ml.core.evaluation.splitsetgenerator,
• ai.libs.jaicore.ml.core.exception,
• ai.libs.jaicore.ml.core.filter,
• ai.libs.jaicore.ml.core.filter.sampling,
• ai.libs.jaicore.ml.core.filter.sampling.infiles,
• ai.libs.jaicore.ml.core.filter.sampling.infiles.stratified.sampling,
• ai.libs.jaicore.ml.core.filter.sampling.inmemory,
• ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol,
• ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories,
• ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces,
• ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling,
• ai.libs.jaicore.ml.core.learner,
• ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation,
• ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.client,
• ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.ipl,
• ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc,
• ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lcnet,
• ai.libs.jaicore.ml.hpo.ggp,
• ai.libs.jaicore.ml.hpo.multifidelity,
• ai.libs.jaicore.ml.hpo.multifidelity.hyperband,
• ai.libs.jaicore.ml.pdm.dataset,
• ai.libs.jaicore.ml.ranking,
• ai.libs.jaicore.ml.ranking.dyad,
• ai.libs.jaicore.ml.ranking.dyad.dataset,
• ai.libs.jaicore.ml.ranking.dyad.learner,
• ai.libs.jaicore.ml.ranking.dyad.learner.activelearning,
• ai.libs.jaicore.ml.ranking.dyad.learner.algorithm,
• ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.featuretransform,
• ai.libs.jaicore.ml.ranking.dyad.learner.optimizing,
• ai.libs.jaicore.ml.ranking.dyad.learner.search,
• ai.libs.jaicore.ml.ranking.dyad.learner.util,
• ai.libs.jaicore.ml.ranking.dyad.learner.zeroshot.inputoptimization,
• ai.libs.jaicore.ml.ranking.dyad.learner.zeroshot.util,
• ai.libs.jaicore.ml.ranking.filter,
• ai.libs.jaicore.ml.ranking.label.learner,
• ai.libs.jaicore.ml.ranking.label.learner.clusterbased,
• ai.libs.jaicore.ml.ranking.label.learner.clusterbased.candidateprovider,
• ai.libs.jaicore.ml.ranking.label.learner.clusterbased.customdatatypes,
• ai.libs.jaicore.ml.ranking.label.learner.clusterbased.datamanager,
• ai.libs.jaicore.ml.ranking.loss,
• ai.libs.jaicore.ml.regression.learner,
• ai.libs.jaicore.ml.regression.loss,
• ai.libs.jaicore.ml.regression.loss.dataset,
• ai.libs.jaicore.ml.regression.loss.instance,
• ai.libs.jaicore.ml.regression.singlelabel,
• ai.libs.jaicore.ml.scikitwrapper,
• ai.libs.jaicore.ml.scikitwrapper.simple

Class Hierarchy

• java.lang.Object
  • ai.libs.jaicore.basic.algorithm.AAlgorithm<I,O> (implements org.api4.java.algorithm.IAlgorithm<I,O>, org.api4.java.common.control.ILoggingCustomizable, org.api4.java.common.event.IRelaxedEventEmitter)
    • ai.libs.jaicore.ml.core.filter.sampling.infiles.AFileSamplingAlgorithm
      • ai.libs.jaicore.ml.core.filter.sampling.infiles.ReservoirSampling
      • ai.libs.jaicore.ml.core.filter.sampling.infiles.stratified.sampling.StratifiedFileSampling
      • ai.libs.jaicore.ml.core.filter.sampling.infiles.SystematicFileSampling
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.ASamplingAlgorithm<D> (implements org.api4.java.ai.ml.core.filter.unsupervised.sampling.ISamplingAlgorithm<D>)
      • ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol.CaseControlLikeSampling<D>
        • ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol.APilotEstimateSampling<D>
          • ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol.ClassifierWeightedSampling<D>
          • ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol.LocalCaseControlSampling
          • ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol.OSMAC<D>
      • ai.libs.jaicore.ml.core.filter.sampling.inmemory.ClusterSampling<I,D>
        • ai.libs.jaicore.ml.core.filter.sampling.inmemory.GmeansSampling<I,D>
        • ai.libs.jaicore.ml.core.filter.sampling.inmemory.KmeansSampling<I,D>
      • ai.libs.jaicore.ml.core.filter.sampling.inmemory.SimpleRandomSampling<D>
      • ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.StratifiedSampling<D>
        • ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.LabelBasedStratifiedSampling<D>
      • ai.libs.jaicore.ml.core.filter.sampling.inmemory.SystematicSampling<D>
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.ASimplifiedTSCLearningAlgorithm<T,C>
      • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.BOSSLearningAlgorithm
      • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors.NearestNeighborLearningAlgorithm
      • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors.ShotgunEnsembleLearnerAlgorithm
    • ai.libs.jaicore.basic.algorithm.ASolutionCandidateIterator<I,O> (implements org.api4.java.algorithm.ISolutionCandidateIterator<I,O>)
      • ai.libs.jaicore.basic.algorithm.AOptimizer<I,O,V> (implements org.api4.java.algorithm.IOptimizationAlgorithm<I,O,V>)
        • ai.libs.jaicore.ml.hpo.ggp.GrammarBasedGeneticProgramming
        • ai.libs.jaicore.ml.hpo.multifidelity.hyperband.Hyperband
  • ai.libs.jaicore.basic.algorithm.AAlgorithmEvent (implements org.api4.java.algorithm.events.IAlgorithmEvent)
    • ai.libs.jaicore.ml.core.filter.sampling.SampleElementAddedEvent
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.WaitForSamplingStepEvent
  • ai.libs.jaicore.ml.core.dataset.schema.attribute.AAttribute (implements org.api4.java.ai.ml.core.dataset.schema.attribute.INumericEncodingAttribute)
    • ai.libs.jaicore.ml.core.dataset.schema.attribute.AGenericObjectAttribute<O>
      • ai.libs.jaicore.ml.core.dataset.schema.attribute.ACollectionOfObjectsAttribute<O>
        • ai.libs.jaicore.ml.core.dataset.schema.attribute.MultiLabelAttribute (implements org.api4.java.ai.ml.core.dataset.schema.attribute.IMultiLabelAttribute)
        • ai.libs.jaicore.ml.core.dataset.schema.attribute.SetOfObjectsAttribute<O> (implements org.api4.java.ai.ml.core.dataset.schema.attribute.ISetOfObjectsAttribute<O>)
      • ai.libs.jaicore.ml.core.dataset.schema.attribute.ARankingAttribute<O> (implements org.api4.java.ai.ml.core.dataset.schema.attribute.IRankingAttribute<O>)
        • ai.libs.jaicore.ml.core.dataset.schema.attribute.DyadRankingAttribute
        • ai.libs.jaicore.ml.core.dataset.schema.attribute.LabelRankingAttribute
      • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.attribute.ATimeseriesAttribute<O> (implements org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseriesAttribute<Y>)
        • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.attribute.NDArrayTimeseriesAttribute
      • ai.libs.jaicore.ml.core.dataset.schema.attribute.MultidimensionalAttribute<O> (implements org.api4.java.ai.ml.core.dataset.schema.attribute.IObjectAttribute<O>)
        • ai.libs.jaicore.ml.core.dataset.schema.attribute.ThreeDimensionalAttribute
        • ai.libs.jaicore.ml.core.dataset.schema.attribute.TwoDimensionalAttribute
      • ai.libs.jaicore.ml.pdm.dataset.SensorTimeSeriesAttribute (implements org.api4.java.ai.ml.core.dataset.schema.attribute.IObjectAttribute<O>)
      • ai.libs.jaicore.ml.core.dataset.schema.attribute.StringAttribute (implements org.api4.java.ai.ml.core.dataset.schema.attribute.IStringAttribute)
    • ai.libs.jaicore.ml.core.dataset.schema.attribute.IntBasedCategoricalAttribute (implements org.api4.java.ai.ml.core.dataset.schema.attribute.ICategoricalAttribute)
    • ai.libs.jaicore.ml.core.dataset.schema.attribute.NumericAttribute (implements org.api4.java.ai.ml.core.dataset.schema.attribute.INumericAttribute)
  • java.util.AbstractCollection<E> (implements java.util.Collection<E>)
    • java.util.AbstractList<E> (implements java.util.List<E>)
      • java.util.AbstractSequentialList<E>
        • java.util.LinkedList<E> (implements java.lang.Cloneable, java.util.Deque<E>, java.util.List<E>, java.io.Serializable)
          • ai.libs.jaicore.ml.ranking.dyad.learner.search.RandomlyRankedNodeQueue<N,A,V>
      • java.util.ArrayList<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
        • ai.libs.jaicore.ml.core.dataset.ADataset<I> (implements org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<I>)
          • ai.libs.jaicore.ml.core.dataset.clusterable.ClusterableDataset (implements org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<I>)
          • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset (implements org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<I>)
        • ai.libs.jaicore.ml.core.dataset.ALabeledDataset<I> (implements org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<I>)
        • ai.libs.jaicore.ml.core.dataset.Dataset (implements org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<I>, org.api4.java.common.reconstruction.IReconstructible)
        • ai.libs.jaicore.ml.ranking.label.learner.clusterbased.customdatatypes.Ranking<O> (implements org.api4.java.ai.ml.ranking.IRanking<O>)
          • ai.libs.jaicore.ml.ranking.label.learner.clusterbased.customdatatypes.RankingForGroup<C,O>
        • ai.libs.jaicore.ml.core.dataset.splitter.ReproducibleSplit<D> (implements org.api4.java.common.reconstruction.IReconstructible)
        • ai.libs.jaicore.ml.classification.singlelabel.SingleLabelClassificationPredictionBatch (implements org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassificationPredictionBatch)
        • ai.libs.jaicore.ml.regression.singlelabel.SingleTargetRegressionPredictionBatch (implements org.api4.java.ai.ml.regression.evaluation.IRegressionResultBatch)
  • ai.libs.jaicore.ml.ranking.dyad.learner.util.AbstractDyadScaler (implements java.io.Serializable)
    • ai.libs.jaicore.ml.ranking.dyad.learner.util.DyadMinMaxScaler
    • ai.libs.jaicore.ml.ranking.dyad.learner.util.DyadStandardScaler
    • ai.libs.jaicore.ml.ranking.dyad.learner.util.DyadUnitIntervalScaler
  • java.util.AbstractMap<K,V> (implements java.util.Map<K,V>)
    • java.util.HashMap<K,V> (implements java.lang.Cloneable, java.util.Map<K,V>, java.io.Serializable)
      • ai.libs.jaicore.ml.core.dataset.MapInstance (implements ai.libs.jaicore.ml.core.filter.sampling.IClusterableInstance)
  • ai.libs.jaicore.ml.ranking.dyad.learner.activelearning.ActiveDyadRanker
    • ai.libs.jaicore.ml.ranking.dyad.learner.activelearning.ARandomlyInitializingDyadRanker
      • ai.libs.jaicore.ml.ranking.dyad.learner.activelearning.PrototypicalPoolBasedActiveDyadRanker
      • ai.libs.jaicore.ml.ranking.dyad.learner.activelearning.RandomPoolBasedActiveDyadRanker
      • ai.libs.jaicore.ml.ranking.dyad.learner.activelearning.UCBPoolBasedActiveDyadRanker
  • ai.libs.jaicore.ml.ranking.dyad.learner.search.ADyadRankedNodeQueue<N,V> (implements java.util.Queue<E>)
  • ai.libs.jaicore.ml.ranking.dyad.learner.search.ADyadRankedNodeQueueConfig<N> (implements ai.libs.jaicore.search.algorithms.standard.bestfirst.IBestFirstQueueConfiguration<I,N,A,V>)
    • ai.libs.jaicore.ml.ranking.dyad.learner.search.RandomlyRankedNodeQueueConfig<T>
  • ai.libs.jaicore.ml.ranking.dyad.dataset.ADyadRankingInstance (implements ai.libs.jaicore.ml.ranking.dyad.dataset.INDArrayDyadRankingInstance)
    • ai.libs.jaicore.ml.ranking.dyad.dataset.DenseDyadRankingInstance
    • ai.libs.jaicore.ml.ranking.dyad.dataset.SparseDyadRankingInstance
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter.AFilter (implements ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter.IFilter)
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter.DFT
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter.ZTransformer
  • ai.libs.jaicore.ml.ranking.dyad.dataset.AGeneralDatasetBackedDataset<E> (implements java.util.List<E>)
    • ai.libs.jaicore.ml.ranking.dyad.dataset.DyadRankingDataset (implements org.api4.java.ai.ml.ranking.dyad.dataset.IDyadRankingDataset)
  • ai.libs.jaicore.ml.core.evaluation.AggregatingPredictionPerformanceMeasure<E,A> (implements org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure<E,A>)
    • ai.libs.jaicore.ml.core.evaluation.AveragingPredictionPerformanceMeasure<E,A>
  • ai.libs.jaicore.ml.core.dataset.AInstance (implements ai.libs.jaicore.ml.core.filter.sampling.IClusterableInstance, java.io.Serializable)
    • ai.libs.jaicore.ml.core.dataset.DenseInstance (implements java.io.Serializable)
    • ai.libs.jaicore.ml.core.dataset.SparseInstance
  • ai.libs.jaicore.ml.classification.loss.instance.AInstanceMeasure<E,A> (implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<O,P>)
    • ai.libs.jaicore.ml.regression.loss.instance.AbsoluteError
    • ai.libs.jaicore.ml.classification.loss.instance.CrossEntropyLoss
    • ai.libs.jaicore.ml.classification.loss.instance.JaccardScore
    • ai.libs.jaicore.ml.classification.loss.instance.LogLoss
    • ai.libs.jaicore.ml.regression.loss.instance.SquaredError
    • ai.libs.jaicore.ml.regression.loss.instance.SquaredLogarithmicError
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.search.AMinimumDistanceSearchStrategy
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.search.EarlyAbandonMinimumDistanceSearchStrategy
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.search.ExhaustiveMinimumDistanceSearchStrategy
  • ai.libs.jaicore.ml.core.evaluation.evaluator.factory.AMonteCarloCrossValidationBasedEvaluatorFactory<F> (implements org.api4.java.ai.ml.core.IDataConfigurable<D>, org.api4.java.ai.ml.core.evaluation.IPredictionPerformanceMetricConfigurable, org.api4.java.common.control.IRandomConfigurable, ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISplitBasedSupervisedLearnerEvaluatorFactory<I,D,F>)
    • ai.libs.jaicore.ml.core.evaluation.evaluator.factory.MonteCarloCrossValidationEvaluatorFactory
  • ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure<E,P> (implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,A>)
    • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.AMultiLabelClassificationMeasure (implements org.api4.java.ai.ml.classification.multilabel.evaluation.loss.IMultiLabelClassificationPredictionPerformanceMeasure)
      • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.AutoMEKAGGPFitnessMeasureLoss
      • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.ChoquisticRelevanceLoss
      • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.ExactMatch
      • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.F1MacroAverageL
      • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.F1MicroAverage
      • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.Hamming
      • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.InstanceWiseF1
      • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.JaccardScore
      • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.OWARelevanceLoss
      • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.RankLoss
    • ai.libs.jaicore.ml.ranking.loss.ARankingPredictionPerformanceMeasure (implements org.api4.java.ai.ml.ranking.loss.IRankingPredictionPerformanceMeasure)
      • ai.libs.jaicore.ml.ranking.loss.KendallsTauDyadRankingLoss (implements org.api4.java.ai.ml.ranking.loss.IRankingPredictionPerformanceMeasure)
      • ai.libs.jaicore.ml.ranking.loss.KendallsTauOfTopK (implements org.api4.java.ai.ml.ranking.loss.IRankingPredictionPerformanceMeasure)
      • ai.libs.jaicore.ml.ranking.loss.NDCGLoss (implements org.api4.java.ai.ml.ranking.loss.IRankingPredictionPerformanceMeasure)
      • ai.libs.jaicore.ml.ranking.loss.TopKOfPredicted (implements org.api4.java.ai.ml.ranking.loss.IRankingPredictionPerformanceMeasure)
    • ai.libs.jaicore.ml.regression.loss.dataset.ARegressionMeasure (implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,A>)
      • ai.libs.jaicore.ml.regression.loss.dataset.AbsoluteError
      • ai.libs.jaicore.ml.regression.loss.dataset.AsymmetricLoss
      • ai.libs.jaicore.ml.regression.loss.dataset.AsymmetricLoss2
      • ai.libs.jaicore.ml.regression.loss.dataset.AUnboundedRegressionMeasure
        • ai.libs.jaicore.ml.regression.loss.dataset.LinearMeanSquaredError
        • ai.libs.jaicore.ml.regression.loss.dataset.MeanAbsoluteError
        • ai.libs.jaicore.ml.regression.loss.dataset.MeanSquaredError
        • ai.libs.jaicore.ml.regression.loss.dataset.MeanSquaredLogarithmicMeanSquaredError
        • ai.libs.jaicore.ml.regression.loss.dataset.QuadraticQuadraticError
        • ai.libs.jaicore.ml.regression.loss.dataset.WeightedAbsoluteError
        • ai.libs.jaicore.ml.regression.loss.dataset.WeightedAsymmetricAbsoluteError
      • ai.libs.jaicore.ml.regression.loss.dataset.MeanAbsolutePercentageError
      • ai.libs.jaicore.ml.regression.loss.dataset.MeanAsymmetricLoss2
      • ai.libs.jaicore.ml.regression.loss.dataset.MeanPercentageError
      • ai.libs.jaicore.ml.regression.loss.dataset.MeanSquaredLogarithmicError
      • ai.libs.jaicore.ml.regression.loss.dataset.MeanSquaredPercentageError
      • ai.libs.jaicore.ml.regression.loss.dataset.R2
      • ai.libs.jaicore.ml.regression.loss.dataset.RootMeanSquaredError
      • ai.libs.jaicore.ml.regression.loss.dataset.RootMeanSquaredLogarithmError
      • ai.libs.jaicore.ml.regression.loss.dataset.SquaredError
    • ai.libs.jaicore.ml.classification.loss.dataset.ASingleLabelClassificationPerformanceMeasure (implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,A>)
      • ai.libs.jaicore.ml.classification.loss.dataset.AAreaUnderCurvePerformanceMeasure
        • ai.libs.jaicore.ml.classification.loss.dataset.AreaUnderPrecisionRecallCurve
        • ai.libs.jaicore.ml.classification.loss.dataset.AreaUnderROCCurve
      • ai.libs.jaicore.ml.classification.loss.dataset.AveragedInstanceLoss
      • ai.libs.jaicore.ml.classification.loss.dataset.ErrorRate
      • ai.libs.jaicore.ml.classification.loss.dataset.FalseNegatives
      • ai.libs.jaicore.ml.classification.loss.dataset.FalsePositives
      • ai.libs.jaicore.ml.classification.loss.dataset.FMeasure
        • ai.libs.jaicore.ml.classification.loss.dataset.F1Measure
      • ai.libs.jaicore.ml.classification.loss.dataset.Precision
      • ai.libs.jaicore.ml.classification.loss.dataset.Recall
      • ai.libs.jaicore.ml.classification.loss.dataset.TrueNegatives
      • ai.libs.jaicore.ml.classification.loss.dataset.TruePositives
      • ai.libs.jaicore.ml.classification.loss.dataset.WeightedAUROC
    • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.AThresholdBasedMultiLabelClassificationMeasure (implements org.api4.java.ai.ml.classification.multilabel.evaluation.loss.IMultiLabelClassificationPredictionPerformanceMeasure)
  • ai.libs.jaicore.ml.core.dataset.serialization.ArffDatasetAdapter (implements org.api4.java.ai.ml.core.dataset.serialization.IDatasetDeserializer<D>, org.api4.java.common.control.ILoggingCustomizable)
  • ai.libs.jaicore.ml.core.filter.sampling.infiles.ArffUtilities
  • ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.ASampleAlgorithmFactory<D,A> (implements org.api4.java.common.reconstruction.IReconstructible, ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory<D,A>)
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.GmeansSamplingFactory<I,D> (implements ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<D,A>)
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.KmeansSamplingFactory<I,D> (implements ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<D,A>)
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.LabelBasedStratifiedSamplingFactory<D> (implements ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<D,A>)
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.LocalCaseControlSamplingFactory (implements ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<D,A>)
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.OSMACSamplingFactory (implements ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<D,A>)
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.SimpleRandomSamplingFactory<D> (implements ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory<D,A>)
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.StratifiedSamplingFactory<D> (implements ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory<D,A>)
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.SystematicSamplingFactory<D> (implements ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<D,A>)
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.ASimplifiedTSClassifier<T>
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.BOSSClassifier
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.BOSSEnsembleClassifier
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors.NearestNeighborClassifier
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors.ShotgunEnsembleClassifier
  • ai.libs.jaicore.ml.core.learner.ASupervisedLearner<I,D,P,B> (implements org.api4.java.ai.ml.core.learner.ISupervisedLearner<I,D>)
    • ai.libs.jaicore.ml.scikitwrapper.AScikitLearnWrapper<P,B> (implements ai.libs.jaicore.ml.scikitwrapper.IScikitLearnWrapper)
      • ai.libs.jaicore.ml.scikitwrapper.ScikitLearnClassificationWrapper
      • ai.libs.jaicore.ml.scikitwrapper.ScikitLearnMultiTargetRegressionWrapper<P,B>
      • ai.libs.jaicore.ml.scikitwrapper.ScikitLearnRegressionWrapper<P,B>
        • ai.libs.jaicore.ml.scikitwrapper.ScikitLearnTimeSeriesRegressionWrapper<P,B>
      • ai.libs.jaicore.ml.scikitwrapper.ScikitLearnTimeSeriesFeatureEngineeringWrapper<P,B>
    • ai.libs.jaicore.ml.scikitwrapper.simple.ASimpleScikitLearnWrapper<P,B> (implements ai.libs.jaicore.ml.scikitwrapper.IScikitLearnWrapper)
      • ai.libs.jaicore.ml.scikitwrapper.simple.SimpleScikitLearnClassifier (implements org.api4.java.ai.ml.classification.singlelabel.learner.ISingleLabelClassifier)
      • ai.libs.jaicore.ml.scikitwrapper.simple.SimpleScikitLearnRegressor
    • ai.libs.jaicore.ml.classification.singlelabel.learner.ASingleLabelClassifier
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.ATimeSeriesClassificationModel<L,D>
    • ai.libs.jaicore.ml.regression.learner.ConstantRegressor
    • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.featuretransform.FeatureTransformPLDyadRanker (implements ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IPLDyadRanker)
    • ai.libs.jaicore.ml.classification.singlelabel.learner.MajorityClassifier (implements org.api4.java.ai.ml.classification.IClassifier)
    • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.PLNetDyadRanker (implements ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IPLDyadRanker, org.api4.java.ai.ml.core.learner.IProbabilisticPredictor)
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.ATSCAlgorithm<Y,D,C> (implements org.api4.java.algorithm.IAlgorithm<I,O>)
  • ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.AttributeBasedStratifier (implements org.api4.java.common.control.ILoggingCustomizable, ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.IStratifier)
  • ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.AttributeDiscretizationPolicy
  • ai.libs.jaicore.ml.ranking.dyad.learner.optimizing.BilinFunction (implements edu.stanford.nlp.optimization.DiffFunction)
  • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.featuretransform.BiliniearFeatureTransform (implements ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.featuretransform.IDyadFeatureTransform)
  • ai.libs.jaicore.ml.hpo.ggp.CFGConverter
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.ClassMapper
  • ai.libs.jaicore.ml.core.filter.sampling.infiles.stratified.sampling.ClassStratiFileAssigner (implements ai.libs.jaicore.ml.core.filter.sampling.infiles.stratified.sampling.IStratiFileAssigner)
  • ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.ClusterStratiAssigner (implements ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.IStratifier)
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.GMeansStratifier (implements ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.IStratifier)
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.KMeansStratifier
  • ai.libs.jaicore.ml.core.evaluation.evaluator.ConfigurationLearningCurveExtrapolationEvaluator (implements org.api4.java.ai.ml.core.evaluation.ISupervisedLearnerEvaluator<I,D>)
  • ai.libs.jaicore.ml.classification.loss.ConfusionMatrix
  • ai.libs.jaicore.ml.core.evaluation.splitsetgenerator.ConstantSplitSetGenerator<I,D> (implements org.api4.java.ai.ml.core.evaluation.execution.IFixedDatasetSplitSetGenerator<D>)
  • ai.libs.jaicore.ml.core.dataset.serialization.CSVDatasetAdapter (implements org.api4.java.ai.ml.core.dataset.serialization.IDatasetDeserializer<D>)
  • ai.libs.jaicore.ml.core.dataset.DatasetDeriver<D>
  • ai.libs.jaicore.ml.core.filter.sampling.infiles.DatasetFileSorter (implements org.api4.java.common.control.ICancelable)
  • ai.libs.jaicore.ml.core.dataset.schema.DatasetPropertyComputer (implements org.api4.java.common.control.ILoggingCustomizable)
  • ai.libs.jaicore.ml.core.dataset.splitter.DatasetSplitSet<D> (implements org.api4.java.ai.ml.core.evaluation.execution.IDatasetSplitSet<D>)
  • ai.libs.jaicore.ml.core.dataset.DatasetUtil
  • ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.DiscretizationHelper (implements org.api4.java.common.control.ILoggingCustomizable)
  • ai.libs.jaicore.ml.ranking.dyad.learner.Dyad (implements org.api4.java.ai.ml.ranking.dyad.dataset.IDyad)
  • ai.libs.jaicore.ml.ranking.dyad.learner.activelearning.DyadDatasetPoolProvider (implements ai.libs.jaicore.ml.ranking.dyad.learner.activelearning.IDyadRankingPoolProvider)
  • ai.libs.jaicore.ml.core.dataset.schema.attribute.DyadRankingAttributeValue (implements org.api4.java.ai.ml.core.dataset.schema.attribute.IRankingAttributeValue<O>)
  • ai.libs.jaicore.ml.ranking.dyad.learner.optimizing.DyadRankingFeatureTransformNegativeLogLikelihood (implements ai.libs.jaicore.ml.ranking.dyad.learner.optimizing.IDyadRankingFeatureTransformPLGradientDescendableFunction)
  • ai.libs.jaicore.ml.ranking.dyad.learner.optimizing.DyadRankingFeatureTransformNegativeLogLikelihoodDerivative (implements ai.libs.jaicore.ml.ranking.dyad.learner.optimizing.IDyadRankingFeatureTransformPLGradientFunction)
  • ai.libs.jaicore.basic.sets.ElementDecorator<E> (implements org.api4.java.common.attributedobjects.IElementDecorator<E>)
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.model.NDArrayTimeseries (implements ai.libs.jaicore.ml.classification.singlelabel.timeseries.model.INDArrayTimeseries)
  • ai.libs.jaicore.ml.core.evaluation.evaluator.ExtrapolatedSaturationPointEvaluator (implements org.api4.java.ai.ml.core.evaluation.ISupervisedLearnerEvaluator<I,D>)
  • ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ExtrapolatedSaturationPointEvaluatorFactory (implements org.api4.java.ai.ml.core.IDataConfigurable<D>, org.api4.java.ai.ml.core.evaluation.IPredictionPerformanceMetricConfigurable, org.api4.java.common.control.IRandomConfigurable, ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<I,D>)
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.client.ExtrapolationRequest
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.client.ExtrapolationServiceClient<C>
  • ai.libs.jaicore.ml.core.dataset.FileDatasetDescriptor (implements org.api4.java.ai.ml.core.dataset.descriptor.IFileDatasetDescriptor)
  • ai.libs.jaicore.ml.core.dataset.serialization.FileDatasetDescriptor (implements org.api4.java.ai.ml.core.dataset.descriptor.IFileDatasetDescriptor)
  • ai.libs.jaicore.ml.core.filter.FilterBasedDatasetSplitter<D> (implements org.api4.java.ai.ml.core.dataset.splitter.IDatasetSplitter<D>, org.api4.java.ai.ml.core.dataset.splitter.IFoldSizeConfigurableRandomDatasetSplitter<D>, org.api4.java.common.control.ILoggingCustomizable)
  • ai.libs.jaicore.ml.core.evaluation.splitsetgenerator.FixedDataSplitSetGenerator<D> (implements org.api4.java.ai.ml.core.evaluation.execution.IFixedDatasetSplitSetGenerator<D>, org.api4.java.common.control.ILoggingCustomizable)
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.quality.FStat (implements ai.libs.jaicore.ml.classification.singlelabel.timeseries.quality.IQualityMeasure)
  • ai.libs.jaicore.ml.clustering.learner.GMeans<C> (implements org.api4.java.common.control.ILoggingCustomizable)
  • ai.libs.jaicore.ml.hpo.ggp.GrammarBasedGeneticProgramming.GGPSolutionCandidate (implements org.api4.java.common.attributedobjects.ScoredItem<V>)
  • ai.libs.jaicore.ml.ranking.label.learner.clusterbased.customdatatypes.Group<C,I>
  • ai.libs.jaicore.ml.ranking.label.learner.clusterbased.customdatatypes.GroupIdentifier<C>
  • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.choquistic.HammingMassFunction (implements ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.choquistic.IMassFunction)
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.HistogramBuilder
  • ai.libs.jaicore.ml.hpo.multifidelity.hyperband.Hyperband.HyperbandSolutionCandidate (implements ai.libs.jaicore.components.api.IEvaluatedSoftwareConfigurationSolution<V>)
  • ai.libs.jaicore.ml.hpo.multifidelity.hyperband.Hyperband.MultiFidelityScore (implements java.lang.Comparable<T>)
  • ai.libs.jaicore.ml.ranking.dyad.learner.zeroshot.util.InputOptListener
  • ai.libs.jaicore.ml.core.dataset.schema.InstanceSchema (implements org.api4.java.ai.ml.core.dataset.schema.IInstanceSchema, java.io.Serializable)
    • ai.libs.jaicore.ml.core.dataset.schema.LabeledInstanceSchema (implements org.api4.java.ai.ml.core.dataset.schema.ILabeledInstanceSchema, java.io.Serializable)
  • ai.libs.jaicore.ml.core.dataset.schema.attribute.IntBasedCategoricalAttributeValue (implements org.api4.java.ai.ml.core.dataset.schema.attribute.ICategoricalAttributeValue)
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.ipl.InversePowerLawConfiguration
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.ipl.InversePowerLawExtrapolationMethod (implements ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.LearningCurveExtrapolationMethod)
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.ipl.InversePowerLawLearningCurve (implements org.api4.java.ai.ml.core.evaluation.learningcurve.IAnalyticalLearningCurve)
  • ai.libs.jaicore.ml.core.dataset.schema.attribute.LabelRankingAttributeValue (implements org.api4.java.ai.ml.core.dataset.schema.attribute.IRankingAttributeValue<O>)
  • ai.libs.jaicore.ml.core.dataset.util.LatexDatasetTableGenerator
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lcnet.LCNetClient
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lcnet.LCNetExtrapolationMethod (implements ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.LearningCurveExtrapolationMethod)
  • ai.libs.jaicore.ml.core.evaluation.evaluator.LearnerRunReport (implements org.api4.java.ai.ml.core.evaluation.execution.ILearnerRunReport)
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.LearningCurveExtrapolatedEvent (implements org.api4.java.common.event.IEvent)
  • ai.libs.jaicore.ml.core.evaluation.evaluator.LearningCurveExtrapolationEvaluator (implements org.api4.java.ai.ml.classification.IClassifierEvaluator, org.api4.java.common.event.IEventEmitter<L>, org.api4.java.common.control.ILoggingCustomizable)
  • ai.libs.jaicore.ml.core.evaluation.evaluator.factory.LearningCurveExtrapolationEvaluatorFactory (implements org.api4.java.ai.ml.core.IDataConfigurable<D>, org.api4.java.common.control.IRandomConfigurable, ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<I,D>)
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.LearningCurveExtrapolator (implements org.api4.java.common.control.ILoggingCustomizable)
    • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.ConfigurationLearningCurveExtrapolator
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc.LinearCombinationConstants
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc.LinearCombinationExtrapolationMethod (implements ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.LearningCurveExtrapolationMethod)
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc.LinearCombinationFunction (implements org.apache.commons.math3.analysis.UnivariateFunction)
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc.LinearCombinationLearningCurve (implements org.api4.java.ai.ml.core.evaluation.learningcurve.IAnalyticalLearningCurve)
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc.LinearCombinationLearningCurveConfiguration
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc.LinearCombinationParameterSet
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.MathUtil
  • ai.libs.jaicore.ml.core.evaluation.evaluator.events.MCCVSplitEvaluationEvent (implements org.api4.java.common.event.IEvent)
  • ai.libs.jaicore.ml.core.evaluation.MLEvaluationUtil
  • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.owa.MoebiusTransformOWAValueFunction (implements ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.owa.IOWAValueFunction)
  • ai.libs.jaicore.ml.core.evaluation.splitsetgenerator.MonteCarloCrossValidationSplitSetGenerator<D> (implements org.api4.java.ai.ml.core.evaluation.execution.IDatasetSplitSetGenerator<D>, org.api4.java.common.control.ILoggingCustomizable)
    • ai.libs.jaicore.ml.core.evaluation.splitsetgenerator.CachingMonteCarloCrossValidationSplitSetGenerator<D>
  • ai.libs.jaicore.ml.core.dataset.schema.attribute.MultidimensionalAttributeValue<O> (implements org.api4.java.ai.ml.core.dataset.schema.attribute.IAttributeValue)
  • ai.libs.jaicore.ml.core.dataset.schema.attribute.MultiLabelAttributeValue (implements org.api4.java.ai.ml.core.dataset.schema.attribute.IMultiLabelAttributeValue)
  • ai.libs.jaicore.ml.classification.multilabel.MultiLabelClassificationPredictionBatch (implements org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassificationPredictionBatch)
  • ai.libs.jaicore.ml.core.dataset.serialization.MySQLDatasetMapper (implements ai.libs.jaicore.ml.core.dataset.serialization.ISQLDatasetMapper)
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.attribute.NDArrayTimeseriesAttributeValue (implements org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseriesAttributeValue<Y>)
  • ai.libs.jaicore.ml.ranking.dyad.learner.zeroshot.inputoptimization.NegIdentityInpOptLoss (implements ai.libs.jaicore.ml.ranking.dyad.learner.zeroshot.inputoptimization.InputOptimizerLoss)
  • ai.libs.jaicore.ml.core.dataset.schema.attribute.NumericAttributeValue (implements org.api4.java.ai.ml.core.dataset.schema.attribute.INumericAttributeValue)
  • ai.libs.jaicore.ml.core.dataset.serialization.OpenMLDatasetDescriptor (implements org.api4.java.ai.ml.core.dataset.descriptor.IDatasetDescriptor)
  • ai.libs.jaicore.ml.core.dataset.serialization.OpenMLDatasetReader (implements org.api4.java.ai.ml.core.dataset.serialization.IDatasetDeserializer<D>, org.api4.java.common.control.ILoggingCustomizable)
  • ai.libs.jaicore.ml.ranking.filter.PairWisePreferenceToBinaryClassificationFilter (implements org.api4.java.ai.ml.core.filter.unsupervised.IUnsupervisedFilter)
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc.ParametricFunction (implements org.apache.commons.math3.analysis.UnivariateFunction)
  • ai.libs.jaicore.ml.ranking.dyad.learner.zeroshot.inputoptimization.PLNetInputOptimizer
  • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.PLNetLoss
  • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lcnet.PointWiseLearningCurve (implements org.api4.java.ai.ml.core.evaluation.learningcurve.ILearningCurve)
  • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.owa.PolynomialOWAValueFunction (implements ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.owa.IOWAValueFunction)
  • ai.libs.jaicore.ml.core.evaluation.Prediction (implements org.api4.java.ai.ml.core.evaluation.IPrediction)
    • ai.libs.jaicore.ml.classification.multilabel.MultiLabelClassification (implements org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification)
    • ai.libs.jaicore.ml.classification.singlelabel.SingleLabelClassification (implements org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification)
    • ai.libs.jaicore.ml.regression.singlelabel.SingleTargetRegressionPrediction (implements org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction)
  • ai.libs.jaicore.ml.core.evaluation.PredictionBatch (implements org.api4.java.ai.ml.core.evaluation.IPredictionBatch)
    • ai.libs.jaicore.ml.ranking.RankingPredictionBatch (implements org.api4.java.ai.ml.ranking.IRankingPredictionBatch)
  • ai.libs.jaicore.ml.core.evaluation.evaluator.PredictionDiff<E,A> (implements org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<E,A>)
    • ai.libs.jaicore.ml.core.evaluation.evaluator.TypelessPredictionDiff
  • ai.libs.jaicore.ml.core.evaluation.evaluator.PreTrainedPredictionBasedClassifierEvaluator (implements org.api4.java.ai.ml.classification.IClassifierEvaluator)
  • ai.libs.jaicore.ml.ranking.label.learner.clusterbased.customdatatypes.ProblemInstance<I>
  • ai.libs.jaicore.ml.core.dataset.splitter.RandomHoldoutSplitter<D> (implements org.api4.java.ai.ml.core.evaluation.execution.IDatasetSplitSetGenerator<D>, org.api4.java.ai.ml.core.dataset.splitter.IFoldSizeConfigurableRandomDatasetSplitter<D>, org.api4.java.common.control.ILoggingCustomizable, org.api4.java.ai.ml.core.dataset.splitter.IRandomDatasetSplitter<D>)
  • ai.libs.jaicore.ml.core.filter.sampling.inmemory.SampleComplementComputer
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter.SAX (implements ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter.IFilter)
  • ai.libs.jaicore.ml.scikitwrapper.ScikitLearnWrapperCommandBuilder
  • ai.libs.jaicore.ml.pdm.dataset.SensorTimeSeries
  • ai.libs.jaicore.ml.pdm.dataset.SensorTimeSeriesAttributeValue (implements org.api4.java.ai.ml.core.dataset.schema.attribute.IObjectAttributeValue<O>)
  • ai.libs.jaicore.ml.core.dataset.schema.attribute.SetOfObjectsAttributeValue<O> (implements org.api4.java.ai.ml.core.dataset.schema.attribute.ISetOfObjectsAttributeValue<O>)
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter.SFA (implements ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter.IFilter)
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.Shapelet
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.SimplifiedTimeSeriesLoader
  • ai.libs.jaicore.ml.core.evaluation.SingleEvaluationAggregatedMeasure<E,A> (implements org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure<E,A>)
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter.SlidingWindowBuilder (implements ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter.IFilter)
  • ai.libs.jaicore.components.model.SoftwareConfigurationProblem<V>
    • ai.libs.jaicore.ml.hpo.multifidelity.MultiFidelitySoftwareConfigurationProblem<V>
  • ai.libs.jaicore.ml.core.filter.SplitterUtil
  • ai.libs.jaicore.ml.core.dataset.schema.attribute.StringAttributeValue (implements org.api4.java.ai.ml.core.dataset.schema.attribute.IStringAttributeValue)
  • ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.choquistic.SubsetZeroOneMassFunction (implements ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.choquistic.IMassFunction)
  • ai.libs.jaicore.ml.core.evaluation.evaluator.SupervisedLearnerExecutor (implements org.api4.java.common.control.ILoggingCustomizable, org.api4.java.ai.ml.core.evaluation.execution.ISupervisedLearnerExecutor)
  • ai.libs.jaicore.ml.ranking.label.learner.clusterbased.customdatatypes.Table<I,S,P>
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • org.api4.java.algorithm.exceptions.AlgorithmException
        • ai.libs.jaicore.ml.scikitwrapper.ScikitLearnWrapperExecutionFailedException
      • ai.libs.jaicore.ml.core.exception.CheckedJaicoreMLException
        • ai.libs.jaicore.ml.core.exception.ConfigurationException
        • ai.libs.jaicore.ml.core.exception.DatasetCapacityReachedException
        • ai.libs.jaicore.ml.core.exception.EvaluationException
      • ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.InvalidAnchorPointsException
      • ai.libs.jaicore.ml.core.dataset.util.LatexDatasetTableGenerator.DataSourceCreationFailedException
      • ai.libs.jaicore.ml.core.evaluation.evaluator.factory.LearnerEvaluatorConstructionFailedException
      • java.lang.RuntimeException
        • java.lang.IllegalArgumentException
          • ai.libs.jaicore.ml.core.exception.InconsistentDataFormatException
          • ai.libs.jaicore.ml.classification.singlelabel.timeseries.exception.TimeSeriesLengthException
        • ai.libs.jaicore.ml.core.exception.UncheckedJaicoreMLException
          • ai.libs.jaicore.ml.classification.singlelabel.timeseries.exception.NoneFittedFilterExeception
      • ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol.ThresholdComputationFailedException
      • ai.libs.jaicore.ml.classification.singlelabel.timeseries.exception.TimeSeriesLoadingException
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.TimeSeriesBatchLoader
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset2
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesFeature
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesInstance (implements ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.ITimeSeriesInstance)
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.TimeSeriesUtil
  • ai.libs.jaicore.ml.core.evaluation.evaluator.TrainPredictionBasedClassifierEvaluator (implements org.api4.java.ai.ml.classification.IClassifierEvaluator, org.api4.java.common.event.IEventEmitter<L>, org.api4.java.common.control.ILoggingCustomizable)
    • ai.libs.jaicore.ml.core.evaluation.evaluator.FixedSplitClassifierEvaluator
    • ai.libs.jaicore.ml.core.evaluation.evaluator.MonteCarloCrossValidationEvaluator
      • ai.libs.jaicore.ml.core.evaluation.evaluator.SingleRandomSplitClassifierEvaluator
  • ai.libs.jaicore.ml.core.evaluation.evaluator.events.TrainTestSplitEvaluationCompletedEvent<I,D> (implements org.api4.java.common.event.IEvent)
  • ai.libs.jaicore.ml.core.evaluation.evaluator.events.TrainTestSplitEvaluationFailedEvent<I,D> (implements org.api4.java.common.event.IEvent)
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.TSLearningProblem
  • ai.libs.jaicore.ml.classification.loss.instance.ZeroOneLoss (implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<O,P>)

Interface Hierarchy

• org.apache.commons.math3.ml.clustering.Clusterable
  • ai.libs.jaicore.ml.core.filter.sampling.IClusterableInstance (also extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance)
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.ITimeSeriesInstance (also extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance, java.lang.Iterable<T>)
• org.api4.java.ai.ml.core.learner.active.IActiveLearningPoolProvider<I>
  • ai.libs.jaicore.ml.ranking.dyad.learner.activelearning.IDyadRankingPoolProvider
• ai.libs.jaicore.ml.ranking.label.learner.IConfigurableLabelRanker
• ai.libs.jaicore.ml.core.filter.IDatasetFilter
• org.api4.java.ai.ml.ranking.dyad.dataset.IDyad
  • ai.libs.jaicore.ml.ranking.dyad.IVectorDyad
• ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.featuretransform.IDyadFeatureTransform
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter.IFilter
• org.api4.java.ai.ml.core.learner.IFittable<I,D>
  • org.api4.java.ai.ml.core.learner.IFittablePredictor<I,D> (also extends org.api4.java.ai.ml.core.learner.IPredictor<I,D>)
    • org.api4.java.ai.ml.core.learner.ISupervisedLearner<I,D> (also extends org.api4.java.ai.ml.core.learner.ILearnerConfigHandler)
      • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IDyadRanker (also extends org.api4.java.ai.ml.ranking.learner.IRanker<O,I,D>)
        • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IPLDyadRanker
      • org.api4.java.ai.ml.ranking.learner.IRanker<O,I,D>
        • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IDyadRanker (also extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<I,D>)
          • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IPLDyadRanker
        • ai.libs.jaicore.ml.ranking.label.learner.clusterbased.IGroupBasedRanker<O,I,D,Z>
      • ai.libs.jaicore.ml.scikitwrapper.IScikitLearnWrapper (also extends org.api4.java.common.control.ILoggingCustomizable)
• org.api4.java.common.attributedobjects.IGetter<C,P>
  • org.api4.java.common.attributedobjects.IObjectEvaluator<T,V>
    • ai.libs.jaicore.ml.core.evaluation.evaluator.IMultiFidelityObjectEvaluator<T,V>
• ai.libs.jaicore.math.gradientdescent.IGradientDescendableFunction
  • ai.libs.jaicore.ml.ranking.dyad.learner.optimizing.IDyadRankingFeatureTransformPLGradientDescendableFunction
• ai.libs.jaicore.math.gradientdescent.IGradientFunction
  • ai.libs.jaicore.ml.ranking.dyad.learner.optimizing.IDyadRankingFeatureTransformPLGradientFunction
• ai.libs.jaicore.ml.ranking.label.learner.clusterbased.IGroupBuilder<C,I>
• ai.libs.jaicore.ml.ranking.label.learner.clusterbased.IGroupSolutionRankingSelect<C,S,I,P>
• org.api4.java.ai.ml.core.dataset.IInstance
  • org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance
    • ai.libs.jaicore.ml.core.filter.sampling.IClusterableInstance (also extends org.apache.commons.math3.ml.clustering.Clusterable)
      • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.ITimeSeriesInstance (also extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance, java.lang.Iterable<T>)
    • org.api4.java.ai.ml.ranking.dataset.IRankingInstance<O>
      • org.api4.java.ai.ml.ranking.dyad.dataset.IDyadRankingInstance (also extends java.lang.Iterable<T>)
        • ai.libs.jaicore.ml.ranking.dyad.dataset.INDArrayDyadRankingInstance
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.ITimeSeriesInstance (also extends ai.libs.jaicore.ml.core.filter.sampling.IClusterableInstance, java.lang.Iterable<T>)
• ai.libs.jaicore.ml.ranking.label.learner.clusterbased.datamanager.IInstanceCollector<I>
• org.api4.java.ai.ml.core.learner.ILearnerConfigHandler
  • org.api4.java.ai.ml.core.learner.ISupervisedLearner<I,D> (also extends org.api4.java.ai.ml.core.learner.IFittablePredictor<I,D>)
    • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IDyadRanker (also extends org.api4.java.ai.ml.ranking.learner.IRanker<O,I,D>)
      • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IPLDyadRanker
    • org.api4.java.ai.ml.ranking.learner.IRanker<O,I,D>
      • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IDyadRanker (also extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<I,D>)
        • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IPLDyadRanker
      • ai.libs.jaicore.ml.ranking.label.learner.clusterbased.IGroupBasedRanker<O,I,D,Z>
    • ai.libs.jaicore.ml.scikitwrapper.IScikitLearnWrapper (also extends org.api4.java.common.control.ILoggingCustomizable)
• org.api4.java.common.control.ILoggingCustomizable
  • ai.libs.jaicore.ml.scikitwrapper.IScikitLearnWrapper (also extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<I,D>)
• ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.choquistic.IMassFunction
• ai.libs.jaicore.ml.ranking.dyad.learner.zeroshot.inputoptimization.InputOptimizerLoss
• ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.owa.IOWAValueFunction
• org.api4.java.common.control.IParallelizable
  • ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.IStratifier
• ai.libs.jaicore.ml.classification.loss.dataset.IPredictedClassPerformanceMeasure
• org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<E,A>
  • ai.libs.jaicore.ml.core.evaluation.IGeneralPredictionAndGroundTruthTable
• org.api4.java.ai.ml.core.learner.IPredictor<I,D>
  • org.api4.java.ai.ml.core.learner.IFittablePredictor<I,D> (also extends org.api4.java.ai.ml.core.learner.IFittable<I,D>)
    • org.api4.java.ai.ml.core.learner.ISupervisedLearner<I,D> (also extends org.api4.java.ai.ml.core.learner.ILearnerConfigHandler)
      • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IDyadRanker (also extends org.api4.java.ai.ml.ranking.learner.IRanker<O,I,D>)
        • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IPLDyadRanker
      • org.api4.java.ai.ml.ranking.learner.IRanker<O,I,D>
        • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IDyadRanker (also extends org.api4.java.ai.ml.core.learner.ISupervisedLearner<I,D>)
          • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IPLDyadRanker
        • ai.libs.jaicore.ml.ranking.label.learner.clusterbased.IGroupBasedRanker<O,I,D,Z>
      • ai.libs.jaicore.ml.scikitwrapper.IScikitLearnWrapper (also extends org.api4.java.common.control.ILoggingCustomizable)
• ai.libs.jaicore.ml.ranking.label.learner.clusterbased.candidateprovider.IRankedSolutionCandidateProvider<I,S>
• ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory<D,A>
  • ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<D,A>
• ai.libs.jaicore.ml.core.dataset.serialization.ISQLDatasetMapper
• ai.libs.jaicore.ml.core.filter.sampling.infiles.stratified.sampling.IStratiFileAssigner
• ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISupervisedLearnerEvaluatorFactory<I,D>
  • ai.libs.jaicore.ml.core.evaluation.evaluator.factory.ISplitBasedSupervisedLearnerEvaluatorFactory<I,D,F>
• ai.libs.jaicore.ml.ranking.label.learner.clusterbased.datamanager.ITableGeneratorandCompleter<I,S,P>
• java.lang.Iterable<T>
  • org.api4.java.ai.ml.ranking.dyad.dataset.IDyadRankingInstance (also extends org.api4.java.ai.ml.ranking.dataset.IRankingInstance<O>)
    • ai.libs.jaicore.ml.ranking.dyad.dataset.INDArrayDyadRankingInstance
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.ITimeSeriesInstance (also extends ai.libs.jaicore.ml.core.filter.sampling.IClusterableInstance, org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance)
• org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseries<Y>
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.model.INDArrayTimeseries
• ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.ITimeSeriesDataset
• ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.LearningCurveExtrapolationMethod
• java.util.Map<K,V>
  • org.api4.java.common.control.IConfig
    • org.api4.java.algorithm.IAlgorithmConfig
      • ai.libs.jaicore.basic.IOwnerBasedAlgorithmConfig (also extends ai.libs.jaicore.basic.IOwnerBasedConfig, org.aeonbits.owner.Reloadable)
        • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.BOSSLearningAlgorithm.IBossAlgorithmConfig
        • ai.libs.jaicore.ml.hpo.ggp.IGrammarBasedGeneticProgrammingConfig
        • ai.libs.jaicore.ml.hpo.multifidelity.hyperband.IHyperbandConfig
        • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors.ShotgunEnsembleLearnerAlgorithm.IShotgunEnsembleLearnerConfig
    • ai.libs.jaicore.basic.IOwnerBasedConfig (also extends org.aeonbits.owner.Accessible, org.aeonbits.owner.Mutable)
      • ai.libs.jaicore.experiments.IExperimentSetConfig (also extends org.aeonbits.owner.Reloadable)
        • ai.libs.jaicore.ml.core.evaluation.experiment.IMultiClassClassificationExperimentConfig
      • ai.libs.jaicore.basic.IOwnerBasedAlgorithmConfig (also extends org.api4.java.algorithm.IAlgorithmConfig, org.aeonbits.owner.Reloadable)
        • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.BOSSLearningAlgorithm.IBossAlgorithmConfig
        • ai.libs.jaicore.ml.hpo.ggp.IGrammarBasedGeneticProgrammingConfig
        • ai.libs.jaicore.ml.hpo.multifidelity.hyperband.IHyperbandConfig
        • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors.ShotgunEnsembleLearnerAlgorithm.IShotgunEnsembleLearnerConfig
      • ai.libs.python.IPythonConfig
        • ai.libs.jaicore.ml.scikitwrapper.IScikitLearnWrapperConfig
• java.io.Serializable
  • org.aeonbits.owner.Config
    • org.aeonbits.owner.Accessible
      • ai.libs.jaicore.basic.IOwnerBasedConfig (also extends org.api4.java.common.control.IConfig, org.aeonbits.owner.Mutable)
        • ai.libs.jaicore.experiments.IExperimentSetConfig (also extends org.aeonbits.owner.Reloadable)
          • ai.libs.jaicore.ml.core.evaluation.experiment.IMultiClassClassificationExperimentConfig
        • ai.libs.jaicore.basic.IOwnerBasedAlgorithmConfig (also extends org.api4.java.algorithm.IAlgorithmConfig, org.aeonbits.owner.Reloadable)
          • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.BOSSLearningAlgorithm.IBossAlgorithmConfig
          • ai.libs.jaicore.ml.hpo.ggp.IGrammarBasedGeneticProgrammingConfig
          • ai.libs.jaicore.ml.hpo.multifidelity.hyperband.IHyperbandConfig
          • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors.ShotgunEnsembleLearnerAlgorithm.IShotgunEnsembleLearnerConfig
        • ai.libs.python.IPythonConfig
          • ai.libs.jaicore.ml.scikitwrapper.IScikitLearnWrapperConfig
    • org.aeonbits.owner.Mutable
      • ai.libs.jaicore.basic.IOwnerBasedConfig (also extends org.aeonbits.owner.Accessible, org.api4.java.common.control.IConfig)
        • ai.libs.jaicore.experiments.IExperimentSetConfig (also extends org.aeonbits.owner.Reloadable)
          • ai.libs.jaicore.ml.core.evaluation.experiment.IMultiClassClassificationExperimentConfig
        • ai.libs.jaicore.basic.IOwnerBasedAlgorithmConfig (also extends org.api4.java.algorithm.IAlgorithmConfig, org.aeonbits.owner.Reloadable)
          • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.BOSSLearningAlgorithm.IBossAlgorithmConfig
          • ai.libs.jaicore.ml.hpo.ggp.IGrammarBasedGeneticProgrammingConfig
          • ai.libs.jaicore.ml.hpo.multifidelity.hyperband.IHyperbandConfig
          • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors.ShotgunEnsembleLearnerAlgorithm.IShotgunEnsembleLearnerConfig
        • ai.libs.python.IPythonConfig
          • ai.libs.jaicore.ml.scikitwrapper.IScikitLearnWrapperConfig
      • ai.libs.jaicore.ml.ranking.dyad.learner.algorithm.IPLNetDyadRankerConfiguration
    • org.aeonbits.owner.Reloadable
      • ai.libs.jaicore.experiments.IExperimentSetConfig (also extends ai.libs.jaicore.basic.IOwnerBasedConfig)
        • ai.libs.jaicore.ml.core.evaluation.experiment.IMultiClassClassificationExperimentConfig
      • ai.libs.jaicore.basic.IOwnerBasedAlgorithmConfig (also extends org.api4.java.algorithm.IAlgorithmConfig, ai.libs.jaicore.basic.IOwnerBasedConfig)
        • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.BOSSLearningAlgorithm.IBossAlgorithmConfig
        • ai.libs.jaicore.ml.hpo.ggp.IGrammarBasedGeneticProgrammingConfig
        • ai.libs.jaicore.ml.hpo.multifidelity.hyperband.IHyperbandConfig
        • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors.ShotgunEnsembleLearnerAlgorithm.IShotgunEnsembleLearnerConfig
  • ai.libs.jaicore.ml.classification.singlelabel.timeseries.quality.IQualityMeasure

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling.DiscretizationHelper.DiscretizationStrategy
    • ai.libs.jaicore.ml.classification.loss.dataset.EAggregatedClassifierMetric (implements org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure<E,A>)
    • ai.libs.jaicore.ml.core.dataset.serialization.arff.EArffAttributeType
    • ai.libs.jaicore.ml.core.dataset.serialization.arff.EArffItem
    • ai.libs.jaicore.ml.classification.loss.dataset.EClassificationPerformanceMeasure (implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,A>)
    • ai.libs.jaicore.ml.regression.loss.ERegressionPerformanceMeasure (implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,A>)
    • ai.libs.jaicore.ml.regression.loss.ERulPerformanceMeasure (implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<E,A>)
    • ai.libs.jaicore.ml.core.EScikitLearnProblemType
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors.NearestNeighborClassifier.VoteType
    • ai.libs.jaicore.ml.core.dataset.SparseInstance.ENullElement
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesFeature.FeatureType