Hierarchy For All Packages

Package Hierarchies:

• ai.libs.jaicore.ml,
• 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.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.util,
• 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.predictivemodel,
• 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.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.scikitwrapper,
• 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>
      • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.CaseControlLikeSampling<I>
        • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.CaseControlSampling<I>
        • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.ClassifierWeightedSampling<I>
        • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.PilotEstimateSampling<I>
          • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.LocalCaseControlSampling<I>
          • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol.OSMAC<I>
      • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.ClusterSampling<I>
        • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.GmeansSampling<I>
        • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.KmeansSampling<I>
      • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.SimpleRandomSampling<I>
      • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.StratifiedSampling<I>
      • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.SystematicSampling<I>
  • 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
  • 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.core.dataset.standard.SimpleDataset (implements ai.libs.jaicore.ml.core.dataset.IDataset<I>)
      • java.util.ArrayList<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
        • ai.libs.jaicore.ml.core.SimpleInstanceImpl (implements ai.libs.jaicore.ml.interfaces.Instance)
        • ai.libs.jaicore.ml.core.SimpleInstancesImpl (implements ai.libs.jaicore.ml.interfaces.Instances)
        • ai.libs.jaicore.ml.core.SimpleLabeledInstanceImpl (implements ai.libs.jaicore.ml.interfaces.LabeledInstance<L>)
        • ai.libs.jaicore.ml.core.SimpleLabeledInstancesImpl (implements ai.libs.jaicore.ml.interfaces.LabeledInstances<L>)
          • ai.libs.jaicore.ml.core.WekaCompatibleInstancesImpl
      • weka.core.Instances (implements weka.core.RevisionHandler, java.io.Serializable)
        • ai.libs.jaicore.ml.cache.ReproducibleInstances
        • ai.libs.jaicore.ml.SubInstances
  • 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.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.classification.multiclass.reduction.AllPairsTable
  • 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.core.dataset.sampling.inmemory.stratified.sampling.AttributeBasedStratiAmountSelectorAndAssigner<I> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.IStratiAmountSelector<I>, ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.IStratiAssigner<I>)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.AttributeDiscretizationPolicy
  • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.AutoMekaGGPFitness
  • 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> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,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.NoProbingCharacterizer
  • ai.libs.jaicore.ml.core.evaluation.measure.ClassifierMetricGetter
  • 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> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.IStratiAssigner<I>)
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.GMeansStratiAmountSelectorAndAssigner<I> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.IStratiAmountSelector<I>)
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.KMeansStratiAssigner<I>
  • 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.evaluation.evaluators.weka.CVEvaluator (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator)
  • ai.libs.jaicore.ml.core.dataset.sampling.infiles.DatasetFileSorter
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.DiscretizationHelper<I>
  • ai.libs.jaicore.basic.sets.ElementDecorator<E>
    • ai.libs.jaicore.ml.core.dataset.weka.WekaInstance (implements ai.libs.jaicore.ml.core.dataset.IInstance)
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.ExtrapolatedSaturationPointEvaluator<I> (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.evaluation.evaluators.weka.FixedSplitClassifierEvaluator (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator)
  • ai.libs.jaicore.ml.clustering.GMeans<C>
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.GmeansSamplingFactory<I> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,A>)
  • ai.libs.jaicore.ml.classification.multiclass.reduction.reducer.HighProbClassifier (implements weka.classifiers.Classifier)
  • ai.libs.jaicore.ml.core.dataset.InstanceSchema
  • ai.libs.jaicore.ml.cache.Instruction
    • ai.libs.jaicore.ml.cache.FoldBasedSubsetInstruction
    • ai.libs.jaicore.ml.cache.LoadDataSetInstruction
    • ai.libs.jaicore.ml.cache.SplitInstruction
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.Interval
  • 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.core.dataset.sampling.inmemory.factories.KmeansSamplingFactory<I> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,A>)
  • 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 (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> (implements ai.libs.jaicore.basic.ILoggingCustomizable)
    • ai.libs.jaicore.ml.learningcurve.extrapolation.ConfigurationLearningCurveExtrapolator
  • 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 (implements ai.libs.jaicore.ml.core.dataset.IDataset<I>)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.LocalCaseControlSamplingFactory<I> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,A>)
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.events.MCCVSplitEvaluationEvent (implements ai.libs.jaicore.basic.events.IEvent)
  • ai.libs.jaicore.ml.classification.multiclass.reduction.MCTreeNode (implements weka.classifiers.Classifier, java.lang.Iterable<T>, ai.libs.jaicore.ml.classification.multiclass.reduction.ITreeClassifier, java.io.Serializable)
    • ai.libs.jaicore.ml.classification.multiclass.reduction.MCTreeNodeLeaf
  • ai.libs.jaicore.ml.classification.multiclass.reduction.MCTreeNodeReD (implements weka.classifiers.Classifier, java.io.Serializable)
    • ai.libs.jaicore.ml.classification.multiclass.reduction.MCTreeMergeNode
    • ai.libs.jaicore.ml.classification.multiclass.reduction.MCTreeNodeReDLeaf
  • 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.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.evaluation.evaluators.weka.factory.MonteCarloCrossValidationEvaluatorFactory (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.IClassifierEvaluatorFactory)
  • ai.libs.jaicore.ml.experiments.MultiClassClassificationExperimentRunner
  • 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.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> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,A>)
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lc.ParametricFunction (implements org.apache.commons.math3.analysis.UnivariateFunction)
  • ai.libs.jaicore.ml.classification.multiclass.reduction.PipelineOptimizer
  • ai.libs.jaicore.ml.learningcurve.extrapolation.lcnet.PointWiseLearningCurve (implements ai.libs.jaicore.ml.interfaces.LearningCurve)
  • 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.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.RandomUniformClassifier (implements weka.classifiers.Classifier)
  • ai.libs.jaicore.ml.classification.multiclass.reduction.reducer.ReductionGraphGenerator (implements 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.scikitwrapper.ScikitLearnWrapper (implements weka.classifiers.Classifier, ai.libs.jaicore.ml.evaluation.IInstancesClassifier)
  • ai.libs.jaicore.ml.core.dataset.standard.SimpleInstance (implements ai.libs.jaicore.ml.core.dataset.IInstance)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.SimpleRandomSamplingFactory<I> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory<I,A>)
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.SingleRandomSplitClassifierEvaluator (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator)
  • ai.libs.jaicore.basic.SQLAdapter (implements java.lang.AutoCloseable, java.io.Serializable)
    • ai.libs.jaicore.ml.experiments.MySQLExperimentDatabaseHandle (implements ai.libs.jaicore.ml.experiments.IMultiClassClassificationExperimentDatabase)
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.StratifiedSamplingFactory<I> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,A>)
  • ai.libs.jaicore.ml.core.dataset.util.StratifiedSplit<I>
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.SystematicSamplingFactory<I> (implements ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,A>)
  • 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.PredictionException
        • ai.libs.jaicore.ml.core.exception.TrainingException
      • ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.ClassifierEvaluatorConstructionFailedException
      • ai.libs.jaicore.ml.learningcurve.extrapolation.InvalidAnchorPointsException
      • ai.libs.jaicore.basic.algorithm.exceptions.ObjectEvaluationFailedException
        • ai.libs.jaicore.ml.core.ModelBuildFailedException
      • java.lang.RuntimeException
        • ai.libs.jaicore.ml.core.exception.UncheckedJaicoreMLException
  • 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.WekaInstancesFeatureUnion
  • ai.libs.jaicore.ml.core.dataset.weka.WekaInstancesUtil
  • ai.libs.jaicore.ml.WekaUtil

Interface Hierarchy

• 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<I>
    • 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<I>
    • 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.evaluation.evaluators.weka.factory.IClassifierEvaluatorFactory
• ai.libs.jaicore.ml.weka.dataset.splitter.IDatasetSplitter
• ai.libs.jaicore.ml.evaluation.IInstancesClassifier
• ai.libs.jaicore.ml.core.evaluation.measure.IMeasure<I,O>
  • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.IMultilabelMeasure
• ai.libs.jaicore.ml.experiments.IMultiClassClassificationExperimentDatabase
• ai.libs.jaicore.ml.weka.dataset.splitter.IMultilabelCrossValidation
• ai.libs.jaicore.basic.IObjectEvaluator<T,V>
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.IClassifierEvaluator
• ai.libs.jaicore.ml.core.predictivemodel.IPredictiveModel<TARGET>
  • ai.libs.jaicore.ml.core.predictivemodel.IBatchLearner<TARGET>
    • ai.libs.jaicore.ml.core.predictivemodel.IOnlineLearner<TARGET>
  • ai.libs.jaicore.ml.core.predictivemodel.IOnlineLearner<TARGET>
• ai.libs.jaicore.ml.core.predictivemodel.IPredictiveModelConfiguration
• ai.libs.jaicore.ml.scikitwrapper.IProcessListener
• ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory<I,A>
  • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory<I,A>
• 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<I>
• ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.IStratiAssigner<I>
• ai.libs.jaicore.ml.core.dataset.sampling.infiles.stratified.sampling.IStratiFileAssigner
• java.lang.Iterable<T>
  • java.util.Collection<E>
    • java.util.List<E>
      • ai.libs.jaicore.ml.core.dataset.IDataset<I>
      • ai.libs.jaicore.ml.interfaces.Instance
        • ai.libs.jaicore.ml.interfaces.LabeledInstance<L>
      • ai.libs.jaicore.ml.interfaces.Instances
      • ai.libs.jaicore.ml.interfaces.LabeledInstances<L>
  • 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<I>
    • ai.libs.jaicore.ml.core.dataset.sampling.ISamplingAlgorithm
• 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<I>
    • ai.libs.jaicore.ml.core.dataset.sampling.ISamplingAlgorithm
• ai.libs.jaicore.ml.interfaces.LearningCurve
  • ai.libs.jaicore.ml.interfaces.AnalyticalLearningCurve
• ai.libs.jaicore.ml.learningcurve.extrapolation.LearningCurveExtrapolationMethod
• 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.experiments.IExperimentSetConfig (also extends org.aeonbits.owner.Reloadable)
        • ai.libs.jaicore.ml.experiments.IMultiClassClassificationExperimentConfig
    • org.aeonbits.owner.Reloadable
      • ai.libs.jaicore.experiments.IExperimentSetConfig (also extends org.aeonbits.owner.Mutable)
        • 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>

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.classification.multiclass.reduction.EMCNodeType
    • ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling.DiscretizationHelper.DiscretizationStrategy
    • ai.libs.jaicore.ml.core.evaluation.measure.multilabel.EMultilabelPerformanceMeasure
    • ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.EMulticlassMeasure
    • ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.EMultiClassPerformanceMeasure
    • ai.libs.jaicore.ml.scikitwrapper.ScikitLearnWrapper.ProblemType