Hierarchy For All Packages

Package Hierarchies:

• ai.libs.jaicore.ml,
• ai.libs.jaicore.ml.activelearning,
• ai.libs.jaicore.ml.cache,
• ai.libs.jaicore.ml.classification.multiclass,
• ai.libs.jaicore.ml.classification.multiclass.reduction,
• ai.libs.jaicore.ml.classification.multiclass.reduction.reducer,
• ai.libs.jaicore.ml.classification.multiclass.reduction.splitters,
• ai.libs.jaicore.ml.clustering,
• ai.libs.jaicore.ml.core,
• ai.libs.jaicore.ml.core.dataset,
• ai.libs.jaicore.ml.core.dataset.attribute,
• ai.libs.jaicore.ml.core.dataset.attribute.categorical,
• ai.libs.jaicore.ml.core.dataset.attribute.multivalue,
• ai.libs.jaicore.ml.core.dataset.attribute.primitive,
• ai.libs.jaicore.ml.core.dataset.attribute.timeseries,
• ai.libs.jaicore.ml.core.dataset.attribute.transformer,
• ai.libs.jaicore.ml.core.dataset.attribute.transformer.multivalue,
• ai.libs.jaicore.ml.core.dataset.sampling,
• ai.libs.jaicore.ml.core.dataset.sampling.infiles,
• ai.libs.jaicore.ml.core.dataset.sampling.infiles.stratified.sampling,
• ai.libs.jaicore.ml.core.dataset.sampling.inmemory,
• ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol,
• ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories,
• ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces,
• ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling,
• ai.libs.jaicore.ml.core.dataset.standard,
• ai.libs.jaicore.ml.core.dataset.weka,
• ai.libs.jaicore.ml.core.evaluation.measure,
• ai.libs.jaicore.ml.core.evaluation.measure.multilabel,
• ai.libs.jaicore.ml.core.evaluation.measure.singlelabel,
• ai.libs.jaicore.ml.core.exception,
• ai.libs.jaicore.ml.core.optimizing,
• ai.libs.jaicore.ml.core.optimizing.graddesc,
• ai.libs.jaicore.ml.core.predictivemodel,
• ai.libs.jaicore.ml.dyadranking,
• ai.libs.jaicore.ml.dyadranking.activelearning,
• ai.libs.jaicore.ml.dyadranking.algorithm,
• ai.libs.jaicore.ml.dyadranking.algorithm.featuretransform,
• ai.libs.jaicore.ml.dyadranking.dataset,
• ai.libs.jaicore.ml.dyadranking.loss,
• ai.libs.jaicore.ml.dyadranking.optimizing,
• ai.libs.jaicore.ml.dyadranking.search,
• ai.libs.jaicore.ml.dyadranking.util,
• ai.libs.jaicore.ml.dyadranking.zeroshot.inputoptimization,
• ai.libs.jaicore.ml.dyadranking.zeroshot.util,
• ai.libs.jaicore.ml.evaluation,
• ai.libs.jaicore.ml.evaluation.evaluators.weka,
• ai.libs.jaicore.ml.evaluation.evaluators.weka.events,
• ai.libs.jaicore.ml.evaluation.evaluators.weka.factory,
• ai.libs.jaicore.ml.evaluation.evaluators.weka.splitevaluation,
• ai.libs.jaicore.ml.experiments,
• ai.libs.jaicore.ml.interfaces,
• ai.libs.jaicore.ml.intervaltree,
• ai.libs.jaicore.ml.intervaltree.aggregation,
• ai.libs.jaicore.ml.intervaltree.util,
• ai.libs.jaicore.ml.latex,
• ai.libs.jaicore.ml.learningcurve.extrapolation,
• ai.libs.jaicore.ml.learningcurve.extrapolation.client,
• ai.libs.jaicore.ml.learningcurve.extrapolation.ipl,
• ai.libs.jaicore.ml.learningcurve.extrapolation.lc,
• ai.libs.jaicore.ml.learningcurve.extrapolation.lcnet,
• ai.libs.jaicore.ml.metafeatures,
• ai.libs.jaicore.ml.openml,
• ai.libs.jaicore.ml.ranking,
• ai.libs.jaicore.ml.ranking.clusterbased,
• ai.libs.jaicore.ml.ranking.clusterbased.candidateprovider,
• ai.libs.jaicore.ml.ranking.clusterbased.customdatatypes,
• ai.libs.jaicore.ml.ranking.clusterbased.datamanager,
• ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac,
• ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.evalutation,
• ai.libs.jaicore.ml.rqp,
• ai.libs.jaicore.ml.scikitwrapper,
• ai.libs.jaicore.ml.tsc,
• ai.libs.jaicore.ml.tsc.classifier,
• ai.libs.jaicore.ml.tsc.classifier.ensemble,
• ai.libs.jaicore.ml.tsc.classifier.neighbors,
• ai.libs.jaicore.ml.tsc.classifier.shapelets,
• ai.libs.jaicore.ml.tsc.classifier.trees,
• ai.libs.jaicore.ml.tsc.complexity,
• ai.libs.jaicore.ml.tsc.dataset,
• ai.libs.jaicore.ml.tsc.distances,
• ai.libs.jaicore.ml.tsc.exceptions,
• ai.libs.jaicore.ml.tsc.features,
• ai.libs.jaicore.ml.tsc.filter,
• ai.libs.jaicore.ml.tsc.filter.derivate,
• ai.libs.jaicore.ml.tsc.filter.transform,
• ai.libs.jaicore.ml.tsc.quality_measures,
• ai.libs.jaicore.ml.tsc.shapelets,
• ai.libs.jaicore.ml.tsc.shapelets.search,
• ai.libs.jaicore.ml.tsc.util,
• ai.libs.jaicore.ml.weka.dataset.splitter

Class Hierarchy

• java.lang.Object
  • ai.libs.jaicore.basic.algorithm.AAlgorithm<I,O> (implements ai.libs.jaicore.basic.algorithm.IAlgorithm<I,O>, ai.libs.jaicore.basic.ILoggingCustomizable)
    • ai.libs.jaicore.ml.core.dataset.sampling.infiles.AFileSamplingAlgorithm
      • ai.libs.jaicore.ml.core.dataset.sampling.infiles.ReservoirSampling
      • ai.libs.jaicore.ml.core.dataset.sampling.infiles.stratified.sampling.StratifiedFileSampling
      • ai.libs.jaicore.ml.core.dataset.sampling.infiles.SystematicFileSampling
    • ai.libs.jaicore.ml.core.dataset.sampling.ASamplingAlgorithm
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.ASamplingAlgorithm<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.ISamplingAlgorithm<D>)
      • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.CaseControlLikeSampling<I,D>
        • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.CaseControlSampling<I,D>
        • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.ClassifierWeightedSampling<I,D>
        • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.PilotEstimateSampling<I,D>
          • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.LocalCaseControlSampling<I,D>
          • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.OSMAC<I,D>
      • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.ClusterSampling<I,D>
        • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.GmeansSampling<I,D>
        • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.KmeansSampling<I,D>
      • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.SimpleRandomSampling<I,D>
      • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.StratifiedSampling<I,D>
      • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.SystematicSampling<I,D>
    • ai.libs.jaicore.ml.tsc.classifier.ASimplifiedTSCLearningAlgorithm<T,C>
      • ai.libs.jaicore.ml.tsc.classifier.BOSSLearningAlgorithm
      • ai.libs.jaicore.ml.tsc.classifier.trees.LearnPatternSimilarityLearningAlgorithm
      • ai.libs.jaicore.ml.tsc.classifier.shapelets.LearnShapeletsLearningAlgorithm
      • ai.libs.jaicore.ml.tsc.classifier.neighbors.NearestNeighborLearningAlgorithm
      • ai.libs.jaicore.ml.tsc.classifier.shapelets.ShapeletTransformLearningAlgorithm
      • ai.libs.jaicore.ml.tsc.classifier.neighbors.ShotgunEnsembleLearnerAlgorithm
      • ai.libs.jaicore.ml.tsc.classifier.trees.TimeSeriesBagOfFeaturesLearningAlgorithm
      • ai.libs.jaicore.ml.tsc.classifier.trees.TimeSeriesForestLearningAlgorithm
      • ai.libs.jaicore.ml.tsc.classifier.trees.TimeSeriesTreeLearningAlgorithm
  • ai.libs.jaicore.basic.algorithm.events.AAlgorithmEvent (implements ai.libs.jaicore.basic.algorithm.events.AlgorithmEvent)
    • ai.libs.jaicore.ml.core.dataset.sampling.SampleElementAddedEvent
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.WaitForSamplingStepEvent
  • ai.libs.jaicore.ml.core.dataset.attribute.AAttributeValue<D> (implements ai.libs.jaicore.ml.core.dataset.attribute.IAttributeValue<D>)
    • ai.libs.jaicore.ml.core.dataset.attribute.primitive.BooleanAttributeValue
    • ai.libs.jaicore.ml.core.dataset.attribute.categorical.CategoricalAttributeValue
    • ai.libs.jaicore.ml.core.dataset.attribute.multivalue.MultiValueAttributeValue
    • ai.libs.jaicore.ml.core.dataset.attribute.primitive.NumericAttributeValue
    • ai.libs.jaicore.ml.core.dataset.attribute.timeseries.TimeSeriesAttributeValue
  • ai.libs.jaicore.ml.rqp.AbstractAugmentedSpaceSampler (implements ai.libs.jaicore.ml.rqp.IAugmentedSpaceSampler)
    • ai.libs.jaicore.ml.rqp.ChooseKAugSpaceSampler
    • ai.libs.jaicore.ml.rqp.ExactIntervalAugSpaceSampler
    • ai.libs.jaicore.ml.rqp.KNNAugSpaceSampler
  • weka.classifiers.AbstractClassifier (implements weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.classifiers.Classifier, java.lang.Cloneable, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.RevisionHandler, java.io.Serializable)
    • weka.classifiers.trees.m5.M5Base (implements weka.core.AdditionalMeasureProducer, weka.core.TechnicalInformationHandler)
      • ai.libs.jaicore.ml.intervaltree.ExtendedM5Tree (implements ai.libs.jaicore.ml.intervaltree.RangeQueryPredictor)
    • weka.classifiers.MultipleClassifiersCombiner
      • weka.classifiers.RandomizableMultipleClassifiersCombiner (implements weka.core.Randomizable)
        • weka.classifiers.meta.Vote (implements weka.core.Aggregateable<E>, weka.core.EnvironmentHandler, weka.core.TechnicalInformationHandler)
          • ai.libs.jaicore.ml.tsc.classifier.ensemble.MajorityConfidenceVote
    • weka.classifiers.trees.RandomTree (implements weka.core.Drawable, weka.core.OptionHandler, weka.core.PartitionGenerator, weka.core.Randomizable, weka.core.WeightedInstancesHandler)
      • ai.libs.jaicore.ml.tsc.classifier.trees.AccessibleRandomTree
      • ai.libs.jaicore.ml.intervaltree.ExtendedRandomTree (implements ai.libs.jaicore.ml.intervaltree.RangeQueryPredictor)
    • weka.classifiers.SingleClassifierEnhancer
      • weka.classifiers.IteratedSingleClassifierEnhancer
        • weka.classifiers.ParallelIteratedSingleClassifierEnhancer
          • weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer (implements weka.core.Randomizable)
            • weka.classifiers.meta.Bagging (implements weka.core.AdditionalMeasureProducer, weka.core.Aggregateable<E>, weka.core.PartitionGenerator, weka.core.TechnicalInformationHandler, weka.core.WeightedInstancesHandler)
              • ai.libs.jaicore.ml.intervaltree.ExtendedM5Forest (implements ai.libs.jaicore.ml.intervaltree.RangeQueryPredictor)
              • weka.classifiers.trees.RandomForest
                • ai.libs.jaicore.ml.intervaltree.ExtendedRandomForest (implements ai.libs.jaicore.ml.intervaltree.RangeQueryPredictor)
  • 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.classification.multiclass.Ensemble (implements weka.classifiers.Classifier)
          • ai.libs.jaicore.ml.dyadranking.search.RandomlyRankedNodeQueue<N,V>
          • ai.libs.jaicore.ml.core.dataset.standard.SimpleDataset<L> (implements ai.libs.jaicore.ml.core.dataset.IOrderedLabeledAttributeArrayDataset<I,L>)
      • java.util.ArrayList<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
        • ai.libs.jaicore.ml.core.ASimpleInstancesImpl<I> (implements ai.libs.jaicore.ml.interfaces.Instances<I>)
          • ai.libs.jaicore.ml.core.SimpleInstancesImpl (implements ai.libs.jaicore.ml.interfaces.Instances<I>)
          • ai.libs.jaicore.ml.core.SimpleLabeledInstancesImpl (implements ai.libs.jaicore.ml.interfaces.LabeledInstances<L>)
            • ai.libs.jaicore.ml.core.WekaCompatibleInstancesImpl
        • ai.libs.jaicore.ml.dyadranking.dataset.DyadRankingDataset (implements ai.libs.jaicore.ml.core.dataset.IOrderedLabeledDataset<I,L>)
        • ai.libs.jaicore.ml.cache.InstructionGraph
        • ai.libs.jaicore.ml.ranking.clusterbased.customdatatypes.Ranking<S>
          • ai.libs.jaicore.ml.ranking.clusterbased.customdatatypes.RankingForGroup<C,S>
            • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.ClassifierRankingForGroup
        • ai.libs.jaicore.ml.core.SimpleInstanceImpl (implements ai.libs.jaicore.ml.interfaces.Instance)
        • ai.libs.jaicore.ml.core.SimpleLabeledInstanceImpl (implements ai.libs.jaicore.ml.interfaces.LabeledInstance<L>)
      • weka.core.Instances (implements weka.core.RevisionHandler, java.io.Serializable)
        • ai.libs.jaicore.ml.cache.ReproducibleInstances
        • ai.libs.jaicore.ml.SubInstances
  • ai.libs.jaicore.ml.dyadranking.util.AbstractDyadScaler (implements java.io.Serializable)
    • ai.libs.jaicore.ml.dyadranking.util.DyadMinMaxScaler
    • ai.libs.jaicore.ml.dyadranking.util.DyadStandardScaler
    • ai.libs.jaicore.ml.dyadranking.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.classification.multiclass.reduction.ClassifierCache
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.splitevaluation.AbstractSplitBasedClassifierEvaluator<I,O> (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.splitevaluation.ISplitBasedClassifierEvaluator<O>)
    • ai.libs.jaicore.ml.evaluation.evaluators.weka.splitevaluation.SimpleMLCSplitBasedClassifierEvaluator
    • ai.libs.jaicore.ml.evaluation.evaluators.weka.splitevaluation.SimpleSLCSplitBasedClassifierEvaluator
  • ai.libs.jaicore.ml.dyadranking.activelearning.ActiveDyadRanker
    • ai.libs.jaicore.ml.dyadranking.activelearning.ARandomlyInitializingDyadRanker
      • ai.libs.jaicore.ml.dyadranking.activelearning.ConfidenceIntervalClusteringBasedActiveDyadRanker
      • ai.libs.jaicore.ml.dyadranking.activelearning.PrototypicalPoolBasedActiveDyadRanker
      • ai.libs.jaicore.ml.dyadranking.activelearning.RandomPoolBasedActiveDyadRanker
      • ai.libs.jaicore.ml.dyadranking.activelearning.UCBPoolBasedActiveDyadRanker
  • ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableMeasure<I,O> (implements ai.libs.jaicore.ml.core.evaluation.measure.IMeasure<I,O>)
    • ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableDoubleMeasure<I>
      • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.ADecomposableMultilabelMeasure (implements ai.libs.jaicore.ml.core.evaluation.measure.multilabel.IMultilabelMeasure)
        • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.AutoMEKAGGPFitnessMeasureLoss
        • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.ExactMatchLoss
        • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.InstanceWiseF1
          • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.F1MacroAverageL
      • ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.ASquaredErrorLoss (implements java.io.Serializable)
        • ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.MeanSquaredErrorLoss
        • ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.RootMeanSquaredErrorLoss
      • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.HammingLoss
      • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.JaccardScore
      • ai.libs.jaicore.ml.core.evaluation.measure.LossScoreTransformer<I>
        • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.AutoMEKAGGPFitnessMeasure (implements ai.libs.jaicore.ml.core.evaluation.measure.multilabel.IMultilabelMeasure)
        • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.ExactMatchAccuracy (implements ai.libs.jaicore.ml.core.evaluation.measure.multilabel.IMultilabelMeasure)
        • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.F1MacroAverageLLoss (implements ai.libs.jaicore.ml.core.evaluation.measure.multilabel.IMultilabelMeasure)
        • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.HammingAccuracy (implements ai.libs.jaicore.ml.core.evaluation.measure.multilabel.IMultilabelMeasure)
        • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.InstanceWiseF1AsLoss (implements ai.libs.jaicore.ml.core.evaluation.measure.multilabel.IMultilabelMeasure)
        • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.JaccardLoss (implements ai.libs.jaicore.ml.core.evaluation.measure.multilabel.IMultilabelMeasure)
        • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.RankScore (implements ai.libs.jaicore.ml.core.evaluation.measure.multilabel.IMultilabelMeasure)
      • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.RankLoss
      • ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.ZeroOneLoss (implements java.io.Serializable)
  • ai.libs.jaicore.ml.tsc.filter.derivate.ADerivateFilter (implements ai.libs.jaicore.ml.tsc.filter.IFilter)
    • ai.libs.jaicore.ml.tsc.filter.derivate.BackwardDifferenceDerivate
    • ai.libs.jaicore.ml.tsc.filter.derivate.ForwardDifferenceDerivate
    • ai.libs.jaicore.ml.tsc.filter.derivate.GulloDerivate
    • ai.libs.jaicore.ml.tsc.filter.derivate.KeoghDerivate
  • ai.libs.jaicore.ml.dyadranking.search.ADyadRankedNodeQueue<N,V> (implements java.util.Queue<E>)
  • ai.libs.jaicore.ml.dyadranking.search.ADyadRankedNodeQueueConfig<N> (implements ai.libs.jaicore.search.algorithms.standard.bestfirst.IBestFirstQueueConfiguration<I,N,A,V>)
    • ai.libs.jaicore.ml.dyadranking.search.RandomlyRankedNodeQueueConfig<T>
  • ai.libs.jaicore.ml.dyadranking.dataset.ADyadRankingInstance (implements ai.libs.jaicore.ml.dyadranking.dataset.IDyadRankingInstance)
    • ai.libs.jaicore.ml.dyadranking.dataset.DyadRankingInstance
    • ai.libs.jaicore.ml.dyadranking.dataset.SparseDyadRankingInstance (implements ai.libs.jaicore.ml.core.dataset.INumericArrayInstance)
  • ai.libs.jaicore.ml.tsc.filter.AFilter (implements ai.libs.jaicore.ml.tsc.filter.IFilter)
    • ai.libs.jaicore.ml.tsc.filter.DFT
    • ai.libs.jaicore.ml.tsc.filter.ZTransformer
  • ai.libs.jaicore.ml.intervaltree.aggregation.AggressiveAggregator (implements ai.libs.jaicore.ml.intervaltree.aggregation.IntervalAggregator)
  • ai.libs.jaicore.ml.classification.multiclass.reduction.AllPairsTable
  • ai.libs.jaicore.ml.classification.multiclass.reduction.AMCTreeNode<C> (implements weka.classifiers.Classifier, java.io.Serializable)
    • ai.libs.jaicore.ml.classification.multiclass.reduction.MCTreeNode (implements java.lang.Iterable<T>, ai.libs.jaicore.ml.classification.multiclass.reduction.ITreeClassifier)
      • ai.libs.jaicore.ml.classification.multiclass.reduction.MCTreeNodeLeaf
    • ai.libs.jaicore.ml.classification.multiclass.reduction.MCTreeNodeReD
      • ai.libs.jaicore.ml.classification.multiclass.reduction.MCTreeMergeNode
      • ai.libs.jaicore.ml.classification.multiclass.reduction.MCTreeNodeReDLeaf
  • ai.libs.jaicore.ml.tsc.shapelets.search.AMinimumDistanceSearchStrategy
    • ai.libs.jaicore.ml.tsc.shapelets.search.EarlyAbandonMinimumDistanceSearchStrategy
    • ai.libs.jaicore.ml.tsc.shapelets.search.ExhaustiveMinimumDistanceSearchStrategy
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.AMonteCarloCrossValidationBasedEvaluatorFactory (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.IClassifierEvaluatorFactory)
    • ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.MonteCarloCrossValidationEvaluatorFactory
    • ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.ProbabilisticMonteCarloCrossValidationEvaluatorFactory
  • ai.libs.jaicore.ml.core.predictivemodel.APredictiveModel<T,V,I,D> (implements ai.libs.jaicore.ml.core.predictivemodel.IPredictiveModel<T,I,D>)
    • ai.libs.jaicore.ml.core.predictivemodel.ABatchLearner<T,V,I,D> (implements ai.libs.jaicore.ml.core.predictivemodel.IBatchLearner<T,I,D>)
      • ai.libs.jaicore.ml.core.predictivemodel.AOnlineLearner<T,V,I,D> (implements ai.libs.jaicore.ml.core.predictivemodel.IOnlineLearner<T,I,D>)
      • ai.libs.jaicore.ml.tsc.classifier.TSClassifier<L,V,D>
  • ai.libs.jaicore.ml.scikitwrapper.AProcessListener (implements ai.libs.jaicore.ml.scikitwrapper.IProcessListener)
    • ai.libs.jaicore.ml.scikitwrapper.DefaultProcessListener
  • ai.libs.jaicore.ml.weka.dataset.splitter.ArbitrarySplitter (implements ai.libs.jaicore.ml.weka.dataset.splitter.IDatasetSplitter)
  • ai.libs.jaicore.ml.core.dataset.ArffUtilities
  • ai.libs.jaicore.ml.tsc.classifier.ASimplifiedTSClassifier<T>
    • ai.libs.jaicore.ml.tsc.classifier.BOSSClassifier
    • ai.libs.jaicore.ml.tsc.classifier.BOSSEnsembleClassifier
    • ai.libs.jaicore.ml.tsc.classifier.trees.LearnPatternSimilarityClassifier
    • ai.libs.jaicore.ml.tsc.classifier.shapelets.LearnShapeletsClassifier
    • ai.libs.jaicore.ml.tsc.classifier.neighbors.NearestNeighborClassifier
    • ai.libs.jaicore.ml.tsc.classifier.shapelets.ShapeletTransformTSClassifier
    • ai.libs.jaicore.ml.tsc.classifier.neighbors.ShotgunEnsembleClassifier
    • ai.libs.jaicore.ml.tsc.classifier.trees.TimeSeriesBagOfFeaturesClassifier
    • ai.libs.jaicore.ml.tsc.classifier.trees.TimeSeriesForestClassifier
    • ai.libs.jaicore.ml.tsc.classifier.trees.TimeSeriesTreeClassifier
  • ai.libs.jaicore.ml.tsc.filter.transform.ATransformFilter (implements ai.libs.jaicore.ml.tsc.filter.IFilter)
    • ai.libs.jaicore.ml.tsc.filter.transform.CosineTransform
    • ai.libs.jaicore.ml.tsc.filter.transform.HilbertTransform
    • ai.libs.jaicore.ml.tsc.filter.transform.SineTransform
  • ai.libs.jaicore.ml.tsc.classifier.ATSCAlgorithm<L,V,D,C> (implements ai.libs.jaicore.basic.algorithm.IAlgorithm<I,O>)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.AttributeBasedStratiAmountSelectorAndAssigner<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.IStratiAmountSelector<D>, ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.IStratiAssigner<I,D>)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.AttributeDiscretizationPolicy
  • ai.libs.jaicore.ml.rqp.AugSpaceAllPairs (implements ai.libs.jaicore.ml.rqp.IAugSpaceSamplingFunction)
  • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.AutoMekaGGPFitness
  • ai.libs.jaicore.ml.tsc.distances.AWeightedTrigometricDistance (implements ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistance)
    • ai.libs.jaicore.ml.tsc.distances.DerivateDistance
    • ai.libs.jaicore.ml.tsc.distances.TransformDistance
  • ai.libs.jaicore.ml.dyadranking.optimizing.BilinFunction (implements edu.stanford.nlp.optimization.DiffFunction)
  • ai.libs.jaicore.ml.dyadranking.algorithm.featuretransform.BiliniearFeatureTransform (implements ai.libs.jaicore.ml.dyadranking.algorithm.featuretransform.IDyadFeatureTransform)
  • ai.libs.jaicore.ml.core.optimizing.graddesc.BlackBoxGradient (implements ai.libs.jaicore.ml.core.optimizing.IGradientFunction)
  • ai.libs.jaicore.ml.core.dataset.attribute.primitive.BooleanAttributeType (implements ai.libs.jaicore.ml.core.dataset.attribute.primitive.IPrimitiveAttributeType<D>)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.CaseControlSamplingFactory<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,D,A>)
  • ai.libs.jaicore.ml.core.dataset.attribute.categorical.CategoricalAttributeType (implements ai.libs.jaicore.ml.core.dataset.attribute.categorical.ICategoricalAttributeType)
  • org.openml.webapplication.fantail.dc.Characterizer
    • ai.libs.jaicore.ml.metafeatures.GlobalCharacterizer
      • ai.libs.jaicore.ml.metafeatures.LandmarkerCharacterizer
      • ai.libs.jaicore.ml.metafeatures.NoProbingCharacterizer
  • ai.libs.jaicore.ml.core.evaluation.measure.ClassifierMetricGetter
  • ai.libs.jaicore.ml.tsc.util.ClassMapper
  • ai.libs.jaicore.ml.core.dataset.sampling.infiles.stratified.sampling.ClassStratiFileAssigner (implements ai.libs.jaicore.ml.core.dataset.sampling.infiles.stratified.sampling.IStratiFileAssigner)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.ClusterStratiAssigner<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.IStratiAssigner<I,D>)
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.GMeansStratiAmountSelectorAndAssigner<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.IStratiAmountSelector<D>)
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.KMeansStratiAssigner<I,D>
  • ai.libs.jaicore.ml.tsc.distances.ComplexityInvariantDistance (implements ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistance)
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.ConfigurationLearningCurveExtrapolationEvaluator (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator)
  • ai.libs.jaicore.ml.classification.multiclass.reduction.ConstantClassifier (implements weka.classifiers.Classifier)
  • ai.libs.jaicore.ml.core.dataset.sampling.infiles.DatasetFileSorter
  • ai.libs.jaicore.ml.tsc.distances.DerivateTransformDistance (implements ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistance)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.DiscretizationHelper<D>
  • ai.libs.jaicore.ml.dyadranking.Dyad
  • ai.libs.jaicore.ml.dyadranking.activelearning.DyadDatasetPoolProvider (implements ai.libs.jaicore.ml.dyadranking.activelearning.IDyadRankingPoolProvider)
  • ai.libs.jaicore.ml.dyadranking.optimizing.DyadRankingFeatureTransformNegativeLogLikelihood (implements ai.libs.jaicore.ml.dyadranking.optimizing.IDyadRankingFeatureTransformPLGradientDescendableFunction)
  • ai.libs.jaicore.ml.dyadranking.optimizing.DyadRankingFeatureTransformNegativeLogLikelihoodDerivative (implements ai.libs.jaicore.ml.dyadranking.optimizing.IDyadRankingFeatureTransformPLGradientFunction)
  • ai.libs.jaicore.ml.dyadranking.loss.DyadRankingLossUtil
  • ai.libs.jaicore.ml.dyadranking.loss.DyadRankingMLLossFunctionWrapper (implements ai.libs.jaicore.ml.dyadranking.loss.DyadRankingLossFunction)
  • ai.libs.jaicore.ml.tsc.distances.DynamicTimeWarping (implements ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistance)
  • ai.libs.jaicore.basic.sets.ElementDecorator<E>
    • ai.libs.jaicore.ml.core.dataset.weka.WekaInstance<L> (implements ai.libs.jaicore.ml.core.dataset.INumericLabeledAttributeArrayInstance<L>)
  • ai.libs.jaicore.ml.tsc.classifier.ensemble.EnsembleProvider
  • ai.libs.jaicore.ml.tsc.distances.EuclideanDistance (implements ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistance)
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.ExtrapolatedSaturationPointEvaluator<I,D> (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator)
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.ExtrapolatedSaturationPointEvaluatorFactory (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.IClassifierEvaluatorFactory)
  • ai.libs.jaicore.ml.learningcurve.extrapolation.client.ExtrapolationRequest
  • ai.libs.jaicore.ml.learningcurve.extrapolation.client.ExtrapolationServiceClient<C>
  • ai.libs.jaicore.ml.core.FeatureDomain (implements java.io.Serializable)
    • ai.libs.jaicore.ml.core.CategoricalFeatureDomain
    • ai.libs.jaicore.ml.core.NumericFeatureDomain
  • ai.libs.jaicore.ml.core.FeatureSpace (implements java.io.Serializable)
  • ai.libs.jaicore.ml.dyadranking.algorithm.featuretransform.FeatureTransformPLDyadRanker (implements ai.libs.jaicore.ml.dyadranking.algorithm.IPLDyadRanker)
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.FixedSplitClassifierEvaluator (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator)
  • ai.libs.jaicore.ml.tsc.quality_measures.FStat (implements ai.libs.jaicore.ml.tsc.quality_measures.IQualityMeasure)
  • ai.libs.jaicore.ml.clustering.GMeans<C>
    • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.ModifiedISACgMeans
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.GmeansSamplingFactory<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,D,A>)
  • ai.libs.jaicore.ml.core.optimizing.graddesc.GradientDescentOptimizer (implements ai.libs.jaicore.ml.core.optimizing.IGradientBasedOptimizer)
  • ai.libs.jaicore.ml.ranking.clusterbased.customdatatypes.Group<C,I>
    • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.Cluster
  • ai.libs.jaicore.ml.ranking.clusterbased.GroupBasedRanker<C,I,S> (implements ai.libs.jaicore.ml.ranking.Ranker<S,P>)
    • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.ModifiedISAC
  • ai.libs.jaicore.ml.ranking.clusterbased.customdatatypes.GroupIdentifier<C>
  • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.HellFormater
  • ai.libs.jaicore.ml.classification.multiclass.reduction.reducer.HighProbClassifier (implements weka.classifiers.Classifier)
  • ai.libs.jaicore.ml.tsc.HistogramBuilder
  • ai.libs.jaicore.ml.dyadranking.zeroshot.util.InputOptListener
  • ai.libs.jaicore.ml.core.dataset.InstanceSchema<L> (implements java.io.Serializable)
  • ai.libs.jaicore.ml.cache.Instruction (implements java.io.Serializable)
    • ai.libs.jaicore.ml.cache.FoldBasedSubsetInstruction
      • ai.libs.jaicore.ml.cache.SplitInstruction
        • ai.libs.jaicore.ml.cache.StratifiedSplitSubsetInstruction
    • ai.libs.jaicore.ml.cache.LoadDataSetInstruction
      • ai.libs.jaicore.ml.cache.LoadDataSetInstructionForARFFFile
      • ai.libs.jaicore.ml.cache.LoadDatasetInstructionForOpenML
  • ai.libs.jaicore.ml.cache.InstructionNode (implements java.io.Serializable)
  • ai.libs.jaicore.ml.learningcurve.extrapolation.ipl.InversePowerLawConfiguration
  • ai.libs.jaicore.ml.learningcurve.extrapolation.ipl.InversePowerLawExtrapolationMethod (implements ai.libs.jaicore.ml.learningcurve.extrapolation.LearningCurveExtrapolationMethod)
  • ai.libs.jaicore.ml.learningcurve.extrapolation.ipl.InversePowerLawLearningCurve (implements ai.libs.jaicore.ml.interfaces.AnalyticalLearningCurve)
  • ai.libs.jaicore.ml.dyadranking.loss.KendallsTauDyadRankingLoss (implements ai.libs.jaicore.ml.dyadranking.loss.DyadRankingLossFunction)
  • ai.libs.jaicore.ml.dyadranking.loss.KendallsTauOfTopK (implements ai.libs.jaicore.ml.dyadranking.loss.DyadRankingLossFunction)
  • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.Kmeans<A,D>
    • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.ModifiedISACkMeans
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.KmeansSamplingFactory<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,D,A>)
  • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.L1DistanceMetric (implements ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.IDistanceMetric<D,A,B>)
  • ai.libs.jaicore.ml.latex.LatexDatasetTableGenerator
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lcnet.LCNetClient
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lcnet.LCNetExtrapolationMethod (implements ai.libs.jaicore.ml.learningcurve.extrapolation.LearningCurveExtrapolationMethod)
  • ai.libs.jaicore.ml.learningcurve.extrapolation.LearningCurveExtrapolatedEvent (implements ai.libs.jaicore.basic.events.IEvent)
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.LearningCurveExtrapolationEvaluator<I,D> (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator, ai.libs.jaicore.basic.events.IEventEmitter, ai.libs.jaicore.basic.ILoggingCustomizable)
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.LearningCurveExtrapolationEvaluatorFactory (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.IClassifierEvaluatorFactory)
  • ai.libs.jaicore.ml.learningcurve.extrapolation.LearningCurveExtrapolator<I,D> (implements ai.libs.jaicore.basic.ILoggingCustomizable)
    • ai.libs.jaicore.ml.learningcurve.extrapolation.ConfigurationLearningCurveExtrapolator<I,D>
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lc.LinearCombinationConstants
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lc.LinearCombinationExtrapolationMethod (implements ai.libs.jaicore.ml.learningcurve.extrapolation.LearningCurveExtrapolationMethod)
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lc.LinearCombinationFunction (implements org.apache.commons.math3.analysis.UnivariateFunction)
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lc.LinearCombinationLearningCurve (implements ai.libs.jaicore.ml.interfaces.AnalyticalLearningCurve)
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lc.LinearCombinationLearningCurveConfiguration
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lc.LinearCombinationParameterSet
  • ai.libs.jaicore.basic.sets.ListDecorator<L,E,D> (implements java.util.List<E>)
    • ai.libs.jaicore.ml.core.dataset.weka.WekaInstances<L> (implements ai.libs.jaicore.ml.core.dataset.IOrderedLabeledAttributeArrayDataset<I,L>)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.LocalCaseControlSamplingFactory<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,D,A>)
  • ai.libs.jaicore.ml.tsc.distances.ManhattanDistance (implements ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistance)
  • ai.libs.jaicore.ml.tsc.util.MathUtil
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.events.MCCVSplitEvaluationEvent (implements ai.libs.jaicore.basic.events.IEvent)
  • ai.libs.jaicore.ml.evaluation.MeasureAggregatedComputationEvent<INPUT,OUTPUT>
  • ai.libs.jaicore.ml.evaluation.MeasureAvgComputationEvent<INPUT,OUTPUT>
  • ai.libs.jaicore.ml.evaluation.MeasureListComputationEvent<INPUT,OUTPUT>
  • ai.libs.jaicore.ml.evaluation.MeasureSingleComputationEvent<INPUT,OUTPUT>
  • ai.libs.jaicore.ml.core.dataset.attribute.transformer.multivalue.MinHashingTransformer (implements ai.libs.jaicore.ml.core.dataset.attribute.transformer.ISingleAttributeTransformer)
  • ai.libs.jaicore.ml.experiments.MLExperiment
  • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.evalutation.ModifiedISACEvaluator
  • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.ModifiedISACGroupBuilder (implements ai.libs.jaicore.ml.ranking.clusterbased.IGroupBuilder<C,I>)
  • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.ModifiedISACInstanceCollector (implements ai.libs.jaicore.ml.ranking.clusterbased.datamanager.IInstanceCollector<I>)
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.MonteCarloCrossValidationEvaluator (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator, ai.libs.jaicore.basic.events.IEventEmitter, ai.libs.jaicore.basic.ILoggingCustomizable)
  • ai.libs.jaicore.ml.tsc.distances.MoveSplitMerge (implements ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistance)
  • ai.libs.jaicore.ml.weka.dataset.splitter.MulticlassClassStratifiedSplitter (implements ai.libs.jaicore.ml.weka.dataset.splitter.IDatasetSplitter)
  • ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.MultiClassMeasureBuilder
  • ai.libs.jaicore.ml.weka.dataset.splitter.MultilabelDatasetSplitter
  • ai.libs.jaicore.ml.core.dataset.attribute.multivalue.MultiValueAttributeType (implements ai.libs.jaicore.ml.core.dataset.attribute.multivalue.IMultiValueAttributeType)
  • ai.libs.jaicore.ml.core.dataset.attribute.transformer.multivalue.MultiValueBinaryzationTransformer (implements ai.libs.jaicore.ml.core.dataset.attribute.transformer.ISingleAttributeTransformer)
  • ai.libs.jaicore.ml.dyadranking.loss.NDCGLoss (implements ai.libs.jaicore.ml.dyadranking.loss.DyadRankingLossFunction)
  • ai.libs.jaicore.ml.dyadranking.zeroshot.inputoptimization.NegIdentityInpOptLoss (implements ai.libs.jaicore.ml.dyadranking.zeroshot.inputoptimization.InputOptimizerLoss)
  • ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.Normalizer
  • ai.libs.jaicore.ml.core.dataset.attribute.primitive.NumericAttributeType (implements ai.libs.jaicore.ml.core.dataset.attribute.primitive.IPrimitiveAttributeType<D>)
  • ai.libs.jaicore.ml.core.dataset.attribute.transformer.OneHotEncodingTransformer (implements ai.libs.jaicore.ml.core.dataset.attribute.transformer.ISingleAttributeTransformer)
  • ai.libs.jaicore.ml.openml.OpenMLHelper
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.OSMACSamplingFactory<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,D,A>)
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lc.ParametricFunction (implements org.apache.commons.math3.analysis.UnivariateFunction)
  • ai.libs.jaicore.ml.dyadranking.algorithm.PLNetDyadRanker (implements ai.libs.jaicore.ml.core.predictivemodel.ICertaintyProvider<T,I,D>, ai.libs.jaicore.ml.core.predictivemodel.IOnlineLearner<T,I,D>, ai.libs.jaicore.ml.dyadranking.algorithm.IPLDyadRanker)
  • ai.libs.jaicore.ml.dyadranking.zeroshot.inputoptimization.PLNetInputOptimizer
  • ai.libs.jaicore.ml.dyadranking.algorithm.PLNetLoss
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lcnet.PointWiseLearningCurve (implements ai.libs.jaicore.ml.interfaces.LearningCurve)
  • ai.libs.jaicore.ml.activelearning.PoolBasedUncertaintySamplingStrategy<T,I,D> (implements ai.libs.jaicore.ml.activelearning.ISelectiveSamplingStrategy<I>)
  • ai.libs.jaicore.ml.tsc.PPA
  • ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.PrecisionAsLoss (implements ai.libs.jaicore.ml.core.evaluation.measure.IMeasure<I,O>)
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.ProbabilisticMonteCarloCrossValidationEvaluator (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator, ai.libs.jaicore.basic.IInformedObjectEvaluatorExtension<V>, ai.libs.jaicore.basic.ILoggingCustomizable)
  • ai.libs.jaicore.ml.ranking.clusterbased.customdatatypes.ProblemInstance<I>
  • ai.libs.jaicore.ml.intervaltree.aggregation.QuantileAggregator (implements ai.libs.jaicore.ml.intervaltree.aggregation.IntervalAggregator)
  • ai.libs.jaicore.ml.weka.dataset.splitter.RandomMultilabelCrossValidation (implements ai.libs.jaicore.ml.weka.dataset.splitter.IMultilabelCrossValidation)
  • ai.libs.jaicore.ml.classification.multiclass.reduction.splitters.RandomSplitter (implements ai.libs.jaicore.ml.classification.multiclass.reduction.splitters.ISplitter)
  • ai.libs.jaicore.ml.classification.multiclass.reduction.reducer.ReductionGraphGenerator (implements ai.libs.jaicore.search.core.interfaces.GraphGenerator<T,A>)
  • ai.libs.jaicore.ml.classification.multiclass.reduction.reducer.ReductionOptimizer (implements weka.classifiers.Classifier)
  • ai.libs.jaicore.ml.classification.multiclass.reduction.splitters.RPNDSplitter (implements ai.libs.jaicore.ml.classification.multiclass.reduction.splitters.ISplitter)
  • ai.libs.jaicore.ml.intervaltree.util.RQPHelper
  • ai.libs.jaicore.ml.intervaltree.util.RQPHelper.IntervalAndHeader
  • ai.libs.jaicore.ml.tsc.filter.SAX (implements ai.libs.jaicore.ml.tsc.filter.IFilter)
  • ai.libs.jaicore.ml.tsc.util.ScalarDistanceUtil
  • ai.libs.jaicore.ml.scikitwrapper.ScikitLearnWrapper (implements weka.classifiers.Classifier, ai.libs.jaicore.ml.evaluation.IInstancesClassifier)
  • ai.libs.jaicore.ml.tsc.filter.SFA (implements ai.libs.jaicore.ml.tsc.filter.IFilter)
  • ai.libs.jaicore.ml.tsc.shapelets.Shapelet
  • ai.libs.jaicore.ml.tsc.distances.ShotgunDistance (implements ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistance)
  • ai.libs.jaicore.ml.core.dataset.standard.SimpleInstance<L> (implements ai.libs.jaicore.ml.core.dataset.INumericLabeledAttributeArrayInstance<L>)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.SimpleRandomSamplingFactory<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory<I,D,A>)
  • ai.libs.jaicore.ml.tsc.util.SimplifiedTimeSeriesLoader
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.SingleRandomSplitClassifierEvaluator (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator)
  • ai.libs.jaicore.ml.tsc.filter.SlidingWindowBuilder (implements ai.libs.jaicore.ml.tsc.filter.IFilter)
  • ai.libs.jaicore.ml.tsc.complexity.SquaredBackwardDifferenceComplexity (implements ai.libs.jaicore.ml.tsc.complexity.ITimeSeriesComplexity)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.StratifiedSamplingFactory<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,D,A>)
  • ai.libs.jaicore.ml.tsc.complexity.StretchingComplexity (implements ai.libs.jaicore.ml.tsc.complexity.ITimeSeriesComplexity)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.SystematicSamplingFactory<I,D> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,D,A>)
  • ai.libs.jaicore.ml.ranking.clusterbased.customdatatypes.Table<I,S,P>
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • ai.libs.jaicore.ml.core.exception.CheckedJaicoreMLException
        • ai.libs.jaicore.ml.core.exception.ConfigurationException
        • ai.libs.jaicore.ml.core.dataset.ContainsNonNumericAttributesException
        • ai.libs.jaicore.ml.core.exception.DatasetCapacityReachedException
        • ai.libs.jaicore.ml.core.exception.EvaluationException
        • ai.libs.jaicore.ml.core.exception.PredictionException
        • ai.libs.jaicore.ml.core.exception.TrainingException
      • ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.ClassifierEvaluatorConstructionFailedException
      • ai.libs.jaicore.ml.metafeatures.DatasetCharacterizerInitializationFailedException
      • ai.libs.jaicore.ml.core.dataset.DatasetCreationException
      • ai.libs.jaicore.ml.cache.InstructionFailedException
      • ai.libs.jaicore.ml.learningcurve.extrapolation.InvalidAnchorPointsException
      • ai.libs.jaicore.ml.latex.LatexDatasetTableGenerator.DataSourceCreationFailedException
      • ai.libs.jaicore.basic.algorithm.exceptions.ObjectEvaluationFailedException
        • ai.libs.jaicore.ml.core.ModelBuildFailedException
      • java.lang.RuntimeException
        • java.lang.IllegalArgumentException
          • ai.libs.jaicore.ml.tsc.exceptions.TimeSeriesLengthException
        • ai.libs.jaicore.ml.intervaltree.PredictionFailedException
        • ai.libs.jaicore.ml.core.exception.UncheckedJaicoreMLException
          • ai.libs.jaicore.ml.tsc.exceptions.NoneFittedFilterExeception
      • ai.libs.jaicore.ml.weka.dataset.splitter.SplitFailedException
      • ai.libs.jaicore.ml.tsc.exceptions.TimeSeriesLoadingException
  • ai.libs.jaicore.timing.TimedObjectEvaluator<T,V> (implements ai.libs.jaicore.basic.IObjectEvaluator<T,V>)
    • ai.libs.jaicore.ml.evaluation.evaluators.weka.TimeoutableEvaluator (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator)
  • ai.libs.jaicore.ml.core.dataset.attribute.timeseries.TimeSeriesAttributeType (implements ai.libs.jaicore.ml.core.dataset.attribute.IAttributeType<D>)
  • ai.libs.jaicore.ml.tsc.util.TimeSeriesBatchLoader
  • ai.libs.jaicore.ml.core.dataset.TimeSeriesDataset<L> (implements ai.libs.jaicore.ml.core.dataset.IOrderedLabeledAttributeArrayDataset<I,L>)
  • ai.libs.jaicore.ml.tsc.dataset.TimeSeriesDataset
  • ai.libs.jaicore.ml.tsc.features.TimeSeriesFeature
  • ai.libs.jaicore.ml.core.dataset.TimeSeriesInstance<L> (implements ai.libs.jaicore.ml.core.dataset.ILabeledAttributeArrayInstance<L>)
  • ai.libs.jaicore.ml.tsc.util.TimeSeriesUtil
  • ai.libs.jaicore.ml.tsc.distances.TimeWarpEditDistance (implements ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistanceWithTimestamps)
  • ai.libs.jaicore.ml.dyadranking.loss.TopKOfPredicted (implements ai.libs.jaicore.ml.dyadranking.loss.DyadRankingLossFunction)
  • ai.libs.jaicore.ml.tsc.TSLearningProblem
  • ai.libs.jaicore.ml.tsc.distances.WeightedDynamicTimeWarping (implements ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistance)
  • ai.libs.jaicore.ml.core.WekaInstancesFeatureUnion
  • ai.libs.jaicore.ml.core.dataset.weka.WekaInstancesUtil
  • ai.libs.jaicore.ml.tsc.util.WekaUtil
  • ai.libs.jaicore.ml.WekaUtil
  • ai.libs.jaicore.ml.dyadranking.zeroshot.util.ZeroShotUtil

Interface Hierarchy

• ai.libs.jaicore.ml.tsc.distances.Abandonable
• java.util.concurrent.Callable<V>
  • ai.libs.jaicore.basic.algorithm.IAlgorithm<I,O> (also extends ai.libs.jaicore.basic.Cancelable, java.lang.Iterable<T>, java.util.Iterator<E>)
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.ISamplingAlgorithm<D>
    • ai.libs.jaicore.ml.core.dataset.sampling.ISamplingAlgorithm
• ai.libs.jaicore.basic.Cancelable
  • ai.libs.jaicore.basic.algorithm.IAlgorithm<I,O> (also extends java.util.concurrent.Callable<V>, java.lang.Iterable<T>, java.util.Iterator<E>)
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.ISamplingAlgorithm<D>
    • ai.libs.jaicore.ml.core.dataset.sampling.ISamplingAlgorithm
• org.apache.commons.math3.ml.clustering.Clusterable
  • ai.libs.jaicore.ml.core.dataset.IInstance
  • ai.libs.jaicore.ml.core.dataset.INumericArrayInstance (also extends ai.libs.jaicore.ml.core.dataset.IAttributeArrayInstance)
    • ai.libs.jaicore.ml.core.dataset.INumericLabeledAttributeArrayInstance<L> (also extends ai.libs.jaicore.ml.core.dataset.ILabeledAttributeArrayInstance<L>)
• ai.libs.jaicore.ml.dyadranking.loss.DyadRankingLossFunction
• java.util.function.Function<T,R>
  • com.google.common.base.Function<F,T>
    • ai.libs.jaicore.ml.rqp.IAugSpaceSamplingFunction
• ai.libs.jaicore.ml.activelearning.IActiveLearningPoolProvider<I>
  • ai.libs.jaicore.ml.dyadranking.activelearning.IDyadRankingPoolProvider
• ai.libs.jaicore.ml.core.dataset.IAttributeArrayInstance
  • ai.libs.jaicore.ml.core.dataset.ILabeledAttributeArrayInstance<L> (also extends ai.libs.jaicore.ml.core.dataset.ILabeledInstance<T>)
    • ai.libs.jaicore.ml.core.dataset.INumericLabeledAttributeArrayInstance<L> (also extends ai.libs.jaicore.ml.core.dataset.INumericArrayInstance)
  • ai.libs.jaicore.ml.core.dataset.INumericArrayInstance (also extends org.apache.commons.math3.ml.clustering.Clusterable)
    • ai.libs.jaicore.ml.core.dataset.INumericLabeledAttributeArrayInstance<L> (also extends ai.libs.jaicore.ml.core.dataset.ILabeledAttributeArrayInstance<L>)
• ai.libs.jaicore.ml.rqp.IAugmentedSpaceSampler
• ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.IClassifierEvaluatorFactory
• ai.libs.jaicore.ml.weka.dataset.splitter.IDatasetSplitter
• ai.libs.jaicore.ml.ranking.clusterbased.modifiedisac.IDistanceMetric<D,A,B>
• ai.libs.jaicore.ml.dyadranking.algorithm.featuretransform.IDyadFeatureTransform
• ai.libs.jaicore.ml.tsc.filter.IFilter
• ai.libs.jaicore.ml.core.optimizing.IGradientBasedOptimizer
• ai.libs.jaicore.ml.core.optimizing.IGradientDescendableFunction
  • ai.libs.jaicore.ml.dyadranking.optimizing.IDyadRankingFeatureTransformPLGradientDescendableFunction
• ai.libs.jaicore.ml.core.optimizing.IGradientFunction
  • ai.libs.jaicore.ml.dyadranking.optimizing.IDyadRankingFeatureTransformPLGradientFunction
• ai.libs.jaicore.ml.ranking.clusterbased.IGroupBuilder<C,I>
• ai.libs.jaicore.ml.ranking.clusterbased.IGroupSolutionRankingSelect<C,S,I,P>
• ai.libs.jaicore.ml.ranking.clusterbased.datamanager.IInstanceCollector<I>
• ai.libs.jaicore.ml.evaluation.IInstancesClassifier
• ai.libs.jaicore.ml.core.dataset.ILabeledInstance<T>
  • ai.libs.jaicore.ml.dyadranking.dataset.IDyadRankingInstance (also extends java.lang.Iterable<T>)
  • ai.libs.jaicore.ml.core.dataset.ILabeledAttributeArrayInstance<L> (also extends ai.libs.jaicore.ml.core.dataset.IAttributeArrayInstance)
    • ai.libs.jaicore.ml.core.dataset.INumericLabeledAttributeArrayInstance<L> (also extends ai.libs.jaicore.ml.core.dataset.INumericArrayInstance)
• ai.libs.jaicore.ml.core.evaluation.measure.IMeasure<I,O>
  • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.IMultilabelMeasure
• ai.libs.jaicore.ml.core.dataset.IModifiableInstance
• ai.libs.jaicore.ml.weka.dataset.splitter.IMultilabelCrossValidation
• ai.libs.jaicore.ml.dyadranking.zeroshot.inputoptimization.InputOptimizerLoss
• ai.libs.jaicore.basic.IObjectEvaluator<T,V>
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator
• ai.libs.jaicore.ml.core.predictivemodel.IPredictiveModel<T,I,D>
  • ai.libs.jaicore.ml.core.predictivemodel.IBatchLearner<T,I,D>
    • ai.libs.jaicore.ml.dyadranking.algorithm.IDyadRanker
      • ai.libs.jaicore.ml.dyadranking.algorithm.IPLDyadRanker
    • ai.libs.jaicore.ml.core.predictivemodel.IOnlineLearner<T,I,D>
  • ai.libs.jaicore.ml.core.predictivemodel.ICertaintyProvider<T,I,D>
• ai.libs.jaicore.ml.scikitwrapper.IProcessListener
• ai.libs.jaicore.ml.ranking.clusterbased.candidateprovider.IRankedSolutionCandidateProvider<I,S>
• ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory<I,D,A>
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,D,A>
• ai.libs.jaicore.ml.tsc.distances.IScalarDistance
• ai.libs.jaicore.ml.activelearning.ISelectiveSamplingStrategy<I>
• ai.libs.jaicore.ml.core.dataset.attribute.transformer.ISingleAttributeTransformer
• ai.libs.jaicore.ml.evaluation.evaluators.weka.splitevaluation.ISplitBasedClassifierEvaluator<O>
• ai.libs.jaicore.ml.classification.multiclass.reduction.splitters.ISplitter
• ai.libs.jaicore.ml.classification.multiclass.reduction.splitters.ISplitterFactory<T>
• ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.IStratiAmountSelector<D>
• ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.IStratiAssigner<I,D>
• ai.libs.jaicore.ml.core.dataset.sampling.infiles.stratified.sampling.IStratiFileAssigner
• ai.libs.jaicore.ml.ranking.clusterbased.datamanager.ITableGeneratorandCompleter<I,S,P>
• java.lang.Iterable<T>
  • java.util.Collection<E>
    • ai.libs.jaicore.ml.core.dataset.IDataset<I>
      • ai.libs.jaicore.ml.core.dataset.AILabeledAttributeArrayDataset<I,L>
        • ai.libs.jaicore.ml.core.dataset.AINumericLabeledAttributeArrayDataset<I,L>
          • ai.libs.jaicore.ml.core.dataset.INumericLabeledIAttributeDataset<L>
        • ai.libs.jaicore.ml.core.dataset.ILabeledAttributeArrayDataset<L>
        • ai.libs.jaicore.ml.core.dataset.IOrderedLabeledAttributeArrayDataset<I,L> (also extends ai.libs.jaicore.ml.core.dataset.IOrderedDataset<I>)
      • ai.libs.jaicore.ml.core.dataset.IOrderedDataset<I> (also extends java.util.List<E>)
        • ai.libs.jaicore.ml.core.dataset.IOrderedLabeledAttributeArrayDataset<I,L> (also extends ai.libs.jaicore.ml.core.dataset.AILabeledAttributeArrayDataset<I,L>)
      • ai.libs.jaicore.ml.core.dataset.IOrderedLabeledDataset<I,L> (also extends java.util.List<E>)
    • java.util.List<E>
      • ai.libs.jaicore.ml.interfaces.Instance
        • ai.libs.jaicore.ml.interfaces.LabeledInstance<L>
      • ai.libs.jaicore.ml.interfaces.Instances<I>
        • ai.libs.jaicore.ml.interfaces.LabeledInstances<L>
      • ai.libs.jaicore.ml.core.dataset.IOrderedDataset<I> (also extends ai.libs.jaicore.ml.core.dataset.IDataset<I>)
        • ai.libs.jaicore.ml.core.dataset.IOrderedLabeledAttributeArrayDataset<I,L> (also extends ai.libs.jaicore.ml.core.dataset.AILabeledAttributeArrayDataset<I,L>)
      • ai.libs.jaicore.ml.core.dataset.IOrderedLabeledDataset<I,L> (also extends ai.libs.jaicore.ml.core.dataset.IDataset<I>)
  • ai.libs.jaicore.basic.algorithm.IAlgorithm<I,O> (also extends java.util.concurrent.Callable<V>, ai.libs.jaicore.basic.Cancelable, java.util.Iterator<E>)
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.ISamplingAlgorithm<D>
    • ai.libs.jaicore.ml.core.dataset.sampling.ISamplingAlgorithm
  • ai.libs.jaicore.ml.dyadranking.dataset.IDyadRankingInstance (also extends ai.libs.jaicore.ml.core.dataset.ILabeledInstance<T>)
• java.util.Iterator<E>
  • ai.libs.jaicore.basic.algorithm.IAlgorithm<I,O> (also extends java.util.concurrent.Callable<V>, ai.libs.jaicore.basic.Cancelable, java.lang.Iterable<T>)
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.ISamplingAlgorithm<D>
    • ai.libs.jaicore.ml.core.dataset.sampling.ISamplingAlgorithm
• ai.libs.jaicore.ml.tsc.complexity.ITimeSeriesComplexity
• ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistance
  • ai.libs.jaicore.ml.tsc.distances.ITimeSeriesDistanceWithTimestamps
• ai.libs.jaicore.ml.interfaces.LearningCurve
  • ai.libs.jaicore.ml.interfaces.AnalyticalLearningCurve
• ai.libs.jaicore.ml.learningcurve.extrapolation.LearningCurveExtrapolationMethod
• ai.libs.jaicore.ml.intervaltree.RangeQueryPredictor
• ai.libs.jaicore.ml.ranking.Ranker<S,P>
• java.io.Serializable
  • weka.classifiers.Classifier
    • ai.libs.jaicore.ml.classification.multiclass.reduction.ITreeClassifier
  • org.aeonbits.owner.Config
    • ai.libs.jaicore.ml.experiments.IPipelineEvaluationConf
    • org.aeonbits.owner.Mutable
      • ai.libs.jaicore.ml.core.optimizing.graddesc.GradientDescentOptimizerConfig
      • ai.libs.jaicore.basic.IConfig
        • ai.libs.jaicore.basic.algorithm.IAlgorithmConfig
          • ai.libs.jaicore.ml.tsc.classifier.BOSSLearningAlgorithm.IBossAlgorithmConfig
          • ai.libs.jaicore.basic.algorithm.IRandomAlgorithmConfig
            • ai.libs.jaicore.ml.tsc.classifier.shapelets.ILearnShapeletsLearningAlgorithmConfig
            • ai.libs.jaicore.ml.tsc.classifier.trees.LearnPatternSimilarityLearningAlgorithm.IPatternSimilarityConfig
            • ai.libs.jaicore.ml.tsc.classifier.shapelets.LearnShapeletsLearningAlgorithm.ILearnShapeletsLearningAlgorithmConfig
            • ai.libs.jaicore.ml.tsc.classifier.shapelets.ShapeletTransformLearningAlgorithm.IShapeletTransformLearningAlgorithmConfig
            • ai.libs.jaicore.ml.tsc.classifier.trees.TimeSeriesBagOfFeaturesLearningAlgorithm.ITimeSeriesBagOfFeaturesConfig
            • ai.libs.jaicore.ml.tsc.classifier.trees.TimeSeriesForestLearningAlgorithm.ITimeSeriesForestConfig
            • ai.libs.jaicore.ml.tsc.classifier.trees.TimeSeriesTreeLearningAlgorithm.ITimeSeriesTreeConfig
          • ai.libs.jaicore.ml.tsc.classifier.neighbors.ShotgunEnsembleLearnerAlgorithm.IShotgunEnsembleLearnerConfig
        • ai.libs.jaicore.experiments.IExperimentSetConfig (also extends org.aeonbits.owner.Reloadable)
          • ai.libs.jaicore.ml.experiments.IMultiClassClassificationExperimentConfig
      • ai.libs.jaicore.ml.core.predictivemodel.IPredictiveModelConfiguration
        • ai.libs.jaicore.ml.dyadranking.algorithm.IPLNetDyadRankerConfiguration
    • org.aeonbits.owner.Reloadable
      • ai.libs.jaicore.experiments.IExperimentSetConfig (also extends ai.libs.jaicore.basic.IConfig)
        • ai.libs.jaicore.ml.experiments.IMultiClassClassificationExperimentConfig
  • ai.libs.jaicore.ml.core.dataset.attribute.IAttributeType<D>
    • ai.libs.jaicore.ml.core.dataset.attribute.categorical.ICategoricalAttributeType
    • ai.libs.jaicore.ml.core.dataset.attribute.multivalue.IMultiValueAttributeType
    • ai.libs.jaicore.ml.core.dataset.attribute.primitive.IPrimitiveAttributeType<D>
  • ai.libs.jaicore.ml.core.dataset.attribute.IAttributeValue<D>
  • ai.libs.jaicore.ml.intervaltree.aggregation.IntervalAggregator
  • ai.libs.jaicore.ml.tsc.quality_measures.IQualityMeasure

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • ai.libs.jaicore.ml.cache.DataProvider
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.DiscretizationHelper.DiscretizationStrategy
    • ai.libs.jaicore.ml.classification.multiclass.reduction.EMCNodeType
    • ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.EMulticlassMeasure
    • ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.EMultiClassPerformanceMeasure
    • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.EMultilabelPerformanceMeasure
    • ai.libs.jaicore.ml.tsc.classifier.neighbors.NearestNeighborClassifier.VoteType
    • ai.libs.jaicore.ml.scikitwrapper.ScikitLearnWrapper.ProblemType
    • ai.libs.jaicore.ml.tsc.features.TimeSeriesFeature.FeatureType