Hierarchy For All Packages

Package Hierarchies:

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.weka.rangequery.AbstractAugmentedSpaceSampler (implements ai.libs.jaicore.ml.weka.rangequery.IAugmentedSpaceSampler)
    • 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)
      • 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)
      • weka.classifiers.trees.RandomTree (implements weka.core.Drawable, weka.core.OptionHandler, weka.core.PartitionGenerator, weka.core.Randomizable, weka.core.WeightedInstancesHandler)
      • 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.weka.classification.pipeline.MLPipeline (implements weka.classifiers.Classifier, java.io.Serializable)
    • 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.weka.classification.learner.Ensemble (implements weka.classifiers.Classifier)
        • java.util.ArrayList<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
          • 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>
    • 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.ranking.dyad.learner.activelearning.ActiveDyadRanker
    • ai.libs.jaicore.ml.weka.rangequery.learner.intervaltree.aggregation.AggressiveAggregator (implements ai.libs.jaicore.ml.weka.rangequery.learner.intervaltree.aggregation.IntervalAggregator)
    • ai.libs.jaicore.ml.weka.classification.learner.reduction.AllPairsTable
    • ai.libs.jaicore.ml.weka.classification.learner.reduction.AMCTreeNode<C> (implements weka.classifiers.Classifier)
      • ai.libs.jaicore.ml.weka.classification.learner.reduction.MCTreeNode (implements java.lang.Iterable<T>, ai.libs.jaicore.ml.weka.classification.learner.reduction.ITreeClassifier)
        • ai.libs.jaicore.ml.weka.classification.learner.reduction.MCTreeNodeLeaf
      • ai.libs.jaicore.ml.weka.classification.learner.reduction.MCTreeNodeReD
    • ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.ASimplifiedTSClassifier<T>
    • 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.weka.classification.learner.AWekaLearner<P,​B> (implements org.api4.java.common.reconstruction.IReconstructible, ai.libs.jaicore.ml.weka.classification.learner.IWekaClassifier)
      • ai.libs.jaicore.ml.weka.ranking.label.learner.clusterbased.modifiedisac.ModifiedISAC (implements ai.libs.jaicore.ml.ranking.label.learner.clusterbased.IGroupBasedRanker<O,​I,​D,​Z>)
    • ai.libs.jaicore.ml.weka.rangequery.AugSpaceAllPairs (implements ai.libs.jaicore.ml.weka.rangequery.IAugSpaceSamplingFunction)
    • ai.libs.jaicore.ml.weka.classification.learner.reduction.ConstantClassifier (implements weka.classifiers.Classifier)
    • ai.libs.jaicore.basic.sets.ElementDecorator<E> (implements org.api4.java.common.attributedobjects.IElementDecorator<E>)
    • ai.libs.jaicore.ml.weka.classification.timeseries.learner.ensemble.EnsembleProvider
    • ai.libs.jaicore.ml.weka.rangequery.learner.intervaltree.featurespace.FeatureDomain (implements java.io.Serializable)
    • ai.libs.jaicore.ml.weka.classification.pipeline.featuregen.FeatureGeneratorTree (implements ai.libs.jaicore.ml.weka.classification.pipeline.featuregen.FeatureGenerator)
    • ai.libs.jaicore.ml.weka.rangequery.learner.intervaltree.featurespace.FeatureSpace (implements java.io.Serializable)
    • ai.libs.jaicore.ml.clustering.learner.GMeans<C>
      • ai.libs.jaicore.ml.weka.ranking.label.learner.clusterbased.modifiedisac.ModifiedISACgMeans
    • ai.libs.jaicore.ml.ranking.label.learner.clusterbased.customdatatypes.Group<C,​I>
      • ai.libs.jaicore.ml.weka.ranking.label.learner.clusterbased.modifiedisac.Cluster
    • ai.libs.jaicore.ml.weka.classification.learner.reduction.reducer.HighProbClassifier (implements weka.classifiers.Classifier)
    • ai.libs.jaicore.ml.weka.classification.pipeline.featuregen.InteractingFeatures (implements ai.libs.jaicore.ml.weka.classification.pipeline.featuregen.FeatureGenerator)
    • ai.libs.jaicore.ml.weka.ranking.label.learner.clusterbased.modifiedisac.Kmeans<A,​D>
      • ai.libs.jaicore.ml.weka.ranking.label.learner.clusterbased.modifiedisac.ModifiedISACkMeans
    • ai.libs.jaicore.ml.weka.ranking.label.learner.clusterbased.modifiedisac.L1DistanceMetric (implements ai.libs.jaicore.ml.weka.ranking.label.learner.clusterbased.modifiedisac.IDistanceMetric<D,​A,​B>)
    • ai.libs.jaicore.ml.weka.classification.pipeline.MLSophisticatedPipeline (implements weka.classifiers.Classifier, ai.libs.jaicore.ml.weka.classification.pipeline.featuregen.FeatureGenerator, java.io.Serializable)
    • ai.libs.jaicore.ml.weka.ranking.label.learner.clusterbased.modifiedisac.ModifiedISACGroupBuilder (implements ai.libs.jaicore.ml.ranking.label.learner.clusterbased.IGroupBuilder<C,​I>)
    • ai.libs.jaicore.ml.weka.ranking.label.learner.clusterbased.modifiedisac.ModifiedISACInstanceCollector (implements ai.libs.jaicore.ml.ranking.label.learner.clusterbased.datamanager.IInstanceCollector<I>)
    • ai.libs.jaicore.ml.weka.classification.pipeline.featurepreprocess.Normalization (implements ai.libs.jaicore.ml.weka.classification.pipeline.FeaturePreprocessor)
    • ai.libs.jaicore.ml.weka.ranking.label.learner.clusterbased.modifiedisac.Normalizer
    • ai.libs.jaicore.ml.weka.classification.pipeline.featuregen.PolynomialFeatures (implements ai.libs.jaicore.ml.weka.classification.pipeline.featuregen.FeatureGenerator)
    • ai.libs.jaicore.ml.weka.rangequery.learner.intervaltree.aggregation.QuantileAggregator (implements ai.libs.jaicore.ml.weka.rangequery.learner.intervaltree.aggregation.IntervalAggregator)
    • ai.libs.jaicore.ml.weka.classification.learner.reduction.splitter.RandomSplitter (implements ai.libs.jaicore.ml.weka.classification.learner.reduction.splitter.ISplitter)
    • weka.classifiers.trees.RandomTree.Tree (implements java.io.Serializable)
    • ai.libs.jaicore.ml.weka.RankingByPairwiseComparison
    • ai.libs.jaicore.ml.weka.classification.learner.reduction.reducer.ReductionGraphGenerator (implements org.api4.java.datastructure.graph.implicit.IGraphGenerator<N,​A>)
    • ai.libs.jaicore.ml.weka.classification.learner.reduction.reducer.ReductionOptimizer (implements weka.classifiers.Classifier)
    • ai.libs.jaicore.ml.weka.classification.learner.reduction.splitter.RPNDSplitter (implements ai.libs.jaicore.ml.weka.classification.learner.reduction.splitter.ISplitter)
    • ai.libs.jaicore.ml.weka.rangequery.learner.intervaltree.util.RQPHelper
    • ai.libs.jaicore.ml.weka.rangequery.learner.intervaltree.util.RQPHelper.IntervalAndHeader
    • ai.libs.jaicore.ml.weka.classification.pipeline.featurepreprocess.Standardization (implements ai.libs.jaicore.ml.weka.classification.pipeline.FeaturePreprocessor)
    • ai.libs.jaicore.ml.weka.classification.pipeline.SupervisedFilterSelector (implements ai.libs.jaicore.ml.weka.classification.pipeline.FeaturePreprocessor, java.io.Serializable)
    • ai.libs.jaicore.ml.weka.classification.pipeline.SuvervisedFilterPreprocessor (implements ai.libs.jaicore.ml.weka.classification.pipeline.FeaturePreprocessor, java.io.Serializable)
      • ai.libs.jaicore.ml.weka.classification.pipeline.featuregen.PCA (implements ai.libs.jaicore.ml.weka.classification.pipeline.featuregen.FeatureGenerator)
    • java.lang.Throwable (implements java.io.Serializable)
    • ai.libs.jaicore.ml.weka.dataset.WekaInstances (implements org.api4.java.common.attributedobjects.IListDecorator<L,​E,​D>, org.api4.java.common.reconstruction.IReconstructible, ai.libs.jaicore.ml.weka.dataset.IWekaInstances)
    • ai.libs.jaicore.ml.weka.WekaInstancesFeatureUnion
    • ai.libs.jaicore.ml.weka.dataset.WekaInstancesUtil
    • ai.libs.jaicore.ml.weka.classification.singlelabel.timeseries.util.WekaTimeseriesUtil
    • ai.libs.jaicore.ml.weka.WekaUtil
    • ai.libs.jaicore.ml.weka.ranking.dyad.learner.zeroshot.util.ZeroShotUtil

Interface Hierarchy

Enum Hierarchy

  • java.lang.Object
    • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
      • ai.libs.jaicore.ml.weka.classification.learner.reduction.EMCNodeType