Hierarchy For All Packages

Package Hierarchies:

• ai.libs.mlpipeline_evaluation,
• ai.libs.mlplan.bigdata,
• ai.libs.mlplan.cli,
• ai.libs.mlplan.core,
• ai.libs.mlplan.core.events,
• ai.libs.mlplan.gui.outofsampleplots,
• ai.libs.mlplan.metamining.pipelinecharacterizing,
• ai.libs.mlplan.metamining.similaritymeasures,
• ai.libs.mlplan.multiclass,
• ai.libs.mlplan.multiclass.wekamlplan,
• ai.libs.mlplan.multiclass.wekamlplan.sklearn,
• ai.libs.mlplan.multiclass.wekamlplan.sophisticated,
• ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen,
• ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featurepre,
• ai.libs.mlplan.multiclass.wekamlplan.weka,
• ai.libs.mlplan.multiclass.wekamlplan.weka.model,
• ai.libs.mlplan.multiclasswithreduction,
• ai.libs.mlplan.multilabel,
• ai.libs.reduction,
• ai.libs.reduction.ensemble.simple,
• ai.libs.reduction.single,
• ai.libs.reduction.single.confusion,
• ai.libs.reduction.single.heterogeneous.bestofkrandom,
• ai.libs.reduction.single.heterogeneous.simplerpnd,
• ai.libs.reduction.single.homogeneous.bestofkatrandom

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.mlplan.core.MLPlan (implements ai.libs.jaicore.basic.ILoggingCustomizable)
    • ai.libs.mlplan.bigdata.MLPlan4BigFileInput (implements ai.libs.jaicore.basic.ILoggingCustomizable)
  • ai.libs.jaicore.basic.algorithm.events.AAlgorithmEvent (implements ai.libs.jaicore.basic.algorithm.events.AlgorithmEvent)
    • ai.libs.jaicore.basic.algorithm.events.ASolutionCandidateFoundEvent<O> (implements ai.libs.jaicore.basic.algorithm.events.SolutionCandidateFoundEvent<O>)
      • ai.libs.mlplan.core.events.ClassifierFoundEvent (implements ai.libs.jaicore.basic.algorithm.events.ScoredSolutionCandidateFoundEvent<O,V>)
  • 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.SingleClassifierEnhancer
      • ai.libs.mlplan.multiclass.wekamlplan.weka.model.MLPipeline (implements weka.classifiers.Classifier, java.io.Serializable)
  • ai.libs.mlplan.core.AbstractMLPlanBuilder (implements ai.libs.jaicore.basic.ILoggingCustomizable, ai.libs.mlplan.core.IMLPlanBuilder)
    • ai.libs.mlplan.core.AbstractMLPlanSingleLabelBuilder
      • ai.libs.mlplan.core.MLPlanSKLearnBuilder
      • ai.libs.mlplan.core.MLPlanWekaBuilder
    • ai.libs.mlplan.core.MLPlanMekaBuilder
  • ai.libs.jaicore.ml.evaluation.evaluators.weka.splitevaluation.AbstractSplitBasedClassifierEvaluator<I,O> (implements ai.libs.jaicore.ml.evaluation.evaluators.weka.splitevaluation.ISplitBasedClassifierEvaluator<O>)
    • ai.libs.mlpipeline_evaluation.CacheEvaluatorMeasureBridge
  • ai.libs.jaicore.graphvisualizer.plugin.ASimpleMVCPlugin<M,V,C> (implements ai.libs.jaicore.graphvisualizer.plugin.IGUIPlugin)
    • ai.libs.mlplan.gui.outofsampleplots.OutOfSampleErrorPlotPlugin
  • ai.libs.jaicore.graphvisualizer.plugin.ASimpleMVCPluginModel<V,C> (implements ai.libs.jaicore.graphvisualizer.plugin.IGUIPluginModel)
    • ai.libs.mlplan.gui.outofsampleplots.OutOfSampleErrorPlotPluginModel
  • ai.libs.jaicore.graphvisualizer.plugin.ASimpleMVCPluginView<M,C,N> (implements ai.libs.jaicore.graphvisualizer.plugin.IGUIPluginView)
    • ai.libs.mlplan.gui.outofsampleplots.OutOfSampleErrorPlotPluginView
  • ai.libs.mlplan.core.events.ClassifierCreatedEvent (implements ai.libs.jaicore.basic.events.IEvent)
  • ai.libs.mlplan.multiclasswithreduction.ClassSplit<T>
  • ai.libs.reduction.single.confusion.ConfusionBasedAlgorithm
  • ai.libs.reduction.single.confusion.ConfusionBasedGreedyOptimizingAlgorithm
  • ai.libs.mlpipeline_evaluation.ConsistentMLPipelineEvaluator
  • ai.libs.reduction.ensemble.simple.EnsembleOfSimpleOneStepReductionsExperiment
  • ai.libs.reduction.single.ExperimentRunner<T>
  • ai.libs.mlplan.metamining.similaritymeasures.F1Optimizer (implements ai.libs.mlplan.metamining.similaritymeasures.IHeterogenousSimilarityMeasureComputer)
  • ai.libs.mlplan.metamining.similaritymeasures.F3Optimizer (implements ai.libs.mlplan.metamining.similaritymeasures.IHeterogenousSimilarityMeasureComputer)
  • ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen.FeatureGeneratorTree (implements ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen.FeatureGenerator)
  • ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen.InteractingFeatures (implements ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen.FeatureGenerator)
  • ai.libs.mlplan.multilabel.MekaPipelineFactory (implements ai.libs.mlplan.multiclass.wekamlplan.IClassifierFactory)
  • ai.libs.mlplan.multiclass.wekamlplan.weka.MLPipelineComponentInstanceFactory
  • ai.libs.mlplan.core.MLPlanBuilder
  • ai.libs.mlplan.cli.MLPlanCLI
  • ai.libs.mlplan.multiclass.wekamlplan.MLPlanWekaClassifier (implements weka.core.CapabilitiesHandler, weka.classifiers.Classifier, ai.libs.jaicore.ml.evaluation.IInstancesClassifier, ai.libs.jaicore.basic.ILoggingCustomizable, weka.core.OptionHandler)
    • ai.libs.mlplan.multiclass.wekamlplan.sklearn.SKLearnMLPlanWekaClassifier
    • ai.libs.mlplan.multiclass.wekamlplan.weka.WekaMLPlanWekaClassifier
  • ai.libs.mlplan.multiclass.wekamlplan.sophisticated.MLSophisticatedPipeline (implements weka.classifiers.Classifier, ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen.FeatureGenerator, java.io.Serializable)
  • ai.libs.reduction.ensemble.simple.MySQLEnsembleOfSimpleOneStepReductionsExperiment
  • ai.libs.reduction.ensemble.simple.MySQLEnsembleOfSimpleOneStepReductionsExperimentRunner
  • ai.libs.reduction.single.heterogeneous.simplerpnd.MySQLExperimentRunner
  • ai.libs.reduction.single.MySQLReductionExperiment
  • ai.libs.reduction.single.heterogeneous.bestofkrandom.MySQLReductionExperimentRunnerWrapper
  • ai.libs.reduction.single.homogeneous.bestofkatrandom.MySQLReductionExperimentRunnerWrapper
  • ai.libs.mlplan.multiclasswithreduction.NestedDichotomyUtil
  • ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featurepre.Normalization (implements ai.libs.mlplan.multiclass.wekamlplan.sophisticated.FeaturePreprocessor)
  • ai.libs.mlpipeline_evaluation.PerformanceDBAdapter (implements java.io.Closeable)
  • ai.libs.mlpipeline_evaluation.PipelineEvaluationCache
  • ai.libs.mlpipeline_evaluation.PipelineEvaluationCacheConfigBuilder
  • ai.libs.mlplan.core.PipelineValidityCheckingNodeEvaluator (implements jaicore.search.algorithms.standard.bestfirst.nodeevaluation.INodeEvaluator<T,V>)
    • ai.libs.mlplan.multiclass.wekamlplan.weka.WekaPipelineValidityCheckingNodeEvaluator
  • ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen.PolynomialFeatures (implements ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen.FeatureGenerator)
  • ai.libs.mlplan.multiclass.wekamlplan.weka.PreferenceBasedNodeEvaluator (implements jaicore.search.algorithms.standard.bestfirst.nodeevaluation.INodeEvaluator<T,V>)
  • ai.libs.mlplan.metamining.similaritymeasures.RankMatrixSimilarityComputer (implements ai.libs.mlplan.metamining.similaritymeasures.IRankMatrixSimilarityComputer)
  • ai.libs.reduction.single.ReductionExperiment
    • ai.libs.reduction.single.BestOfKAtRandomExperiment
  • ai.libs.mlplan.multiclass.wekamlplan.sklearn.SKLearnClassifierFactory (implements ai.libs.mlplan.multiclass.wekamlplan.IClassifierFactory, ai.libs.jaicore.basic.ILoggingCustomizable)
  • ai.libs.mlplan.multiclass.wekamlplan.weka.model.SupervisedFilterSelector (implements ai.libs.mlplan.multiclass.wekamlplan.sophisticated.FeaturePreprocessor, java.io.Serializable)
  • ai.libs.mlplan.multiclass.wekamlplan.weka.model.SuvervisedFilterPreprocessor (implements ai.libs.mlplan.multiclass.wekamlplan.sophisticated.FeaturePreprocessor, java.io.Serializable)
    • ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen.PCA (implements ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen.FeatureGenerator)
  • java.lang.Thread (implements java.lang.Runnable)
    • ai.libs.jaicore.graphvisualizer.plugin.ASimpleMVCPluginController<M,V> (implements ai.libs.jaicore.graphvisualizer.plugin.IGUIPluginController)
      • ai.libs.mlplan.gui.outofsampleplots.OutOfSampleErrorPlotPluginController
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • ai.libs.mlpipeline_evaluation.InvalidDatasetOriginException
  • ai.libs.jaicore.timing.TimedObjectEvaluator<T,V> (implements ai.libs.jaicore.basic.IObjectEvaluator<T,V>)
    • ai.libs.mlplan.core.PipelineEvaluator (implements ai.libs.jaicore.basic.IInformedObjectEvaluatorExtension<V>, ai.libs.jaicore.basic.ILoggingCustomizable)
  • ai.libs.reduction.Util
  • ai.libs.mlplan.metamining.pipelinecharacterizing.WEKAOntologyConnector (implements ai.libs.mlplan.metamining.pipelinecharacterizing.IOntologyConnector)
  • ai.libs.mlplan.metamining.pipelinecharacterizing.WEKAPipelineCharacterizer (implements ai.libs.mlplan.metamining.pipelinecharacterizing.IPipelineCharacterizer)
  • ai.libs.mlplan.multiclass.wekamlplan.weka.WEKAPipelineFactory (implements ai.libs.mlplan.multiclass.wekamlplan.IClassifierFactory)

Interface Hierarchy

• ai.libs.hasco.optimizingfactory.BaseFactory<T>
  • ai.libs.mlplan.multiclass.wekamlplan.IClassifierFactory
• ai.libs.mlplan.multiclass.wekamlplan.sophisticated.FeaturePreprocessor
  • ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen.FeatureGenerator
• ai.libs.mlplan.metamining.similaritymeasures.IHeterogenousSimilarityMeasureComputer
• ai.libs.mlplan.core.IMLPlanBuilder
• ai.libs.mlplan.metamining.pipelinecharacterizing.IOntologyConnector
• ai.libs.mlplan.metamining.pipelinecharacterizing.IPipelineCharacterizer
• ai.libs.mlplan.metamining.similaritymeasures.IRankMatrixSimilarityComputer
• java.io.Serializable
  • org.aeonbits.owner.Config
    • org.aeonbits.owner.Mutable
      • ai.libs.jaicore.basic.algorithm.IAlgorithmConfig
        • ai.libs.hasco.core.HASCOConfig
          • ai.libs.hasco.variants.forwarddecomposition.twophase.HASCOWithRandomCompletionsConfig
            • ai.libs.hasco.variants.forwarddecomposition.twophase.TwoPhaseHASCOConfig
              • ai.libs.mlplan.multiclass.MLPlanClassifierConfig
              • ai.libs.mlplan.multiclass.wekamlplan.sklearn.MLPlanScikitLearnClassifierConfig

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • ai.libs.mlpipeline_evaluation.DatasetOrigin