Hierarchy For All Packages

Package Hierarchies:

• boruta,
• category_encoders,
• hpsklearn,
• imblearn,
• imblearn.pipeline,
• interpret.glassbox,
• interpret.glassbox.ebm,
• optbinning,
• optbinning.scorecard,
• pycaret.pipeline,
• pycaret.preprocess,
• sklego.meta,
• sktree.ensemble.eiforest,
• sktree.ensemble.supervised_forest,
• sktree.tree,
• tpot.builtins

Class Hierarchy

• java.lang.Object
  • 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)
      • net.razorvine.pickle.objects.ClassDict
        • org.jpmml.python.PythonObject
          • org.jpmml.python.CythonObject
            • sktree.tree.ObliqueSplitter
            • sklearn.tree.Tree
              • sktree.tree.ObliqueTree
          • category_encoders.OrdinalEncoder.Mapping
          • sklearn.Step (implements sklearn.HasNumberOfFeatures, sklearn.HasType)
            • sklearn.Composite (implements org.jpmml.python.Castable, sklearn.HasFeatureNamesIn, sklearn.HasHead)
              • hpsklearn.HyperoptEstimator (implements org.jpmml.sklearn.Encodable)
              • sklearn.pipeline.SkLearnPipeline (implements org.jpmml.sklearn.Encodable)
                • imblearn.pipeline.ImbLearnPipeline
                • pycaret.pipeline.PyCaretPipeline
            • sklearn.Estimator (implements sklearn.HasNumberOfOutputs, sklearn2pmml.HasPMMLOptions<E>, sklearn2pmml.HasPMMLSegmentId<E>)
              • sklearn.Classifier (implements sklearn.HasClasses)
                • interpret.glassbox.ebm.ExplainableBoostingClassifier (implements interpret.glassbox.ebm.HasExplainableBooster)
                • interpret.glassbox.GlassboxClassifier
                • sktree.tree.ObliqueDecisionTreeClassifier (implements sklearn.tree.HasTree)
                • sktree.ensemble.supervised_forest.ObliqueRandomForestClassifier (implements sklearn.HasEstimatorEnsemble<E>)
                • sklego.meta.OrdinalClassifier
              • sklearn.Regressor
                • interpret.glassbox.ebm.ExplainableBoostingRegressor (implements interpret.glassbox.ebm.HasExplainableBooster)
                • sktree.ensemble.eiforest.ExtendedIsolationForest (implements sklearn.ensemble.iforest.HasIsolationForest, sklearn.OutlierDetector)
                • interpret.glassbox.GlassboxRegressor
                • sktree.tree.ObliqueDecisionTreeRegressor (implements sklearn.tree.HasTree)
                • sktree.ensemble.supervised_forest.ObliqueRandomForestRegressor (implements sklearn.HasEstimatorEnsemble<E>)
              • optbinning.scorecard.Scorecard (implements sklearn.HasClasses)
            • sklearn.Transformer (implements sklearn2pmml.HasPMMLName<E>)
              • category_encoders.BaseEncoder (implements org.jpmml.sklearn.Encodable, sklearn.HasFeatureNamesIn)
                • category_encoders.BaseNEncoder
                  • category_encoders.BinaryEncoder
                • category_encoders.MapEncoder
                  • category_encoders.CountEncoder
                  • category_encoders.MeanEncoder
                    • category_encoders.CatBoostEncoder
                    • category_encoders.LeaveOneOutEncoder
                  • category_encoders.OrdinalMapEncoder
                    • category_encoders.TargetEncoder
                    • category_encoders.WOEEncoder
                • category_encoders.OneHotEncoder
                • category_encoders.OrdinalEncoder
              • sklego.meta.EstimatorTransformer (implements sklearn.HasEstimator<E>)
              • sklearn.IdentityTransformer
                • pycaret.preprocess.CleanColumnNames
                • pycaret.preprocess.FixImbalancer
                • pycaret.preprocess.RemoveOutliers (implements sklearn.HasEstimator<E>)
                • imblearn.Sampler
              • sklearn.Initializer
                • optbinning.BinningProcess
                • pycaret.preprocess.TransformerWrapper
                  • pycaret.preprocess.TransformerWrapperWithInverse
              • optbinning.OptimalBinning
                • optbinning.ContinuousOptimalBinning
                • optbinning.MulticlassOptimalBinning
              • pycaret.preprocess.RareCategoryGrouping
              • pycaret.preprocess.RemoveMulticollinearity
              • sklearn.Selector
                • boruta.BorutaPy
              • tpot.builtins.StackingEstimator (implements sklearn.HasEstimator<E>)
  • category_encoders.CategoryEncoderUtil
  • interpret.glassbox.ebm.ExplainableBoostingUtil
  • org.jpmml.converter.Feature
    • org.jpmml.converter.CategoricalFeature
      • optbinning.BinnedFeature
    • org.jpmml.converter.ThresholdFeature (implements org.jpmml.converter.HasDerivedName)
      • org.jpmml.converter.BinaryThresholdFeature
        • category_encoders.BaseNFeature
      • category_encoders.MapFeature
  • sktree.ensemble.supervised_forest.ObliqueForestUtil
  • optbinning.OptimalBinningUtil
  • sktree.tree.ProjectionManager

Interface Hierarchy

• java.util.function.BiFunction<T,U,R>
  • category_encoders.MeanEncoder.MeanFunction
• sklearn.HasFeatureNamesIn
  • interpret.glassbox.ebm.HasExplainableBooster