Hierarchy For All Packages

Package Hierarchies:

• category_encoders,
• h2o.estimators,
• imblearn,
• lightgbm.sklearn,
• mlxtend.preprocessing,
• org.jpmml.sklearn,
• org.jpmml.sklearn.visitors,
• sklearn,
• sklearn_pandas,
• sklearn.cluster,
• sklearn.compose,
• sklearn.decomposition,
• sklearn.discriminant_analysis,
• sklearn.dummy,
• sklearn.ensemble,
• sklearn.ensemble.bagging,
• sklearn.ensemble.forest,
• sklearn.ensemble.gradient_boosting,
• sklearn.ensemble.hist_gradient_boosting,
• sklearn.ensemble.iforest,
• sklearn.ensemble.stacking,
• sklearn.ensemble.weight_boosting,
• sklearn.ensemble.voting,
• sklearn.feature_extraction,
• sklearn.feature_extraction.text,
• sklearn.feature_selection,
• sklearn.impute,
• sklearn.isotonic,
• sklearn.linear_model,
• sklearn.linear_model.glm,
• sklearn.linear_model.logistic,
• sklearn.linear_model.ridge,
• sklearn.linear_model.stochastic_gradient,
• sklearn.model_selection,
• sklearn.multiclass,
• sklearn.naive_bayes,
• sklearn.neighbors,
• sklearn.neural_network,
• sklearn.pipeline,
• sklearn.preprocessing,
• sklearn.svm,
• sklearn.tree,
• sklearn2pmml,
• sklearn2pmml.decoration,
• sklearn2pmml.ensemble,
• sklearn2pmml.feature_extraction.text,
• sklearn2pmml.feature_selection,
• sklearn2pmml.pipeline,
• sklearn2pmml.preprocessing,
• sklearn2pmml.preprocessing.h2o,
• sklearn2pmml.preprocessing.scipy,
• sklearn2pmml.ruleset,
• sklego.meta,
• sklego.preprocessing,
• tpot.builtins,
• xgboost.sklearn

Class Hierarchy

• java.lang.Object
  • java.util.AbstractCollection<E> (implements java.util.Collection<E>)
    • java.util.AbstractList<E> (implements java.util.List<E>)
      • java.util.ArrayList<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
        • org.jpmml.sklearn.FeatureList
  • 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
          • sklearn.ensemble.hist_gradient_boosting.BaseLoss
            • sklearn.ensemble.hist_gradient_boosting.BinaryCrossEntropy
            • sklearn.ensemble.hist_gradient_boosting.CategoricalCrossEntropy
          • lightgbm.sklearn.Booster
          • xgboost.sklearn.Booster
          • org.jpmml.python.CustomPythonObject
            • sklearn.neighbors.BinaryTree
            • sklearn.neighbors.DistanceMetric
            • sklearn.linear_model.stochastic_gradient.LossFunction
              • sklearn.linear_model.stochastic_gradient.Hinge
              • sklearn.linear_model.stochastic_gradient.Log
              • sklearn.linear_model.stochastic_gradient.ModifiedHuber
              • sklearn.linear_model.stochastic_gradient.SquaredHinge
            • sklearn.tree.PresortBestSplitter
            • sklearn.tree.RegressionCriterion
            • sklearn.tree.Tree
          • sklearn.model_selection.EstimatorSearcher (implements org.jpmml.python.Castable)
          • sklearn.ensemble.gradient_boosting.LogOddsEstimator (implements sklearn.HasPriorProbability)
            • sklearn.ensemble.gradient_boosting.ScaledLogOddsEstimator
          • sklearn.ensemble.gradient_boosting.LossFunction
            • sklearn.ensemble.gradient_boosting.BinomialDeviance
            • sklearn.ensemble.gradient_boosting.ExponentialLoss
            • sklearn.ensemble.gradient_boosting.MultinomialDeviance
          • sklearn.ensemble.gradient_boosting.MeanEstimator (implements sklearn.HasDefaultValue)
          • org.jpmml.python.NamedTuple
            • sklearn.linear_model.glm.DistributionBoundary
          • category_encoders.OrdinalEncoder.Mapping
          • sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator (implements sklearn.HasPriorProbability)
          • sklearn.ensemble.gradient_boosting.QuantileEstimator (implements sklearn.HasDefaultValue)
          • sklearn.Step (implements sklearn.HasNumberOfFeatures, sklearn.HasType)
            • sklearn.Composite
              • sklearn.pipeline.Pipeline (implements org.jpmml.python.Castable)
                • sklearn2pmml.pipeline.PMMLPipeline
            • sklearn.Estimator
              • h2o.estimators.BaseEstimator (implements sklearn.HasClasses)
                • sklearn.ensemble.hist_gradient_boosting.BinMapper
              • sklearn.Classifier (implements sklearn.HasClasses)
                • sklearn.dummy.DummyClassifier (implements sklearn.HasPriorProbability)
                • sklearn.ensemble.EnsembleClassifier (implements sklearn.HasEstimatorEnsemble<E>)
                  • sklearn.ensemble.bagging.BaggingClassifier
                • sklearn.ensemble.forest.ForestClassifier (implements sklearn.HasEstimatorEnsemble<E>, sklearn.tree.HasTreeOptions)
                • sklearn.naive_bayes.GaussianNB
                • sklearn2pmml.ensemble.GBDTLRClassifier
                • sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (implements sklearn.HasEstimatorEnsemble<E>, sklearn.tree.HasTreeOptions)
                • sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingClassifier
                • sklearn.neighbors.KNeighborsClassifier (implements sklearn.neighbors.HasNeighbors, sklearn.neighbors.HasTrainingData)
                • sklearn.LabelEncoderClassifier
                  • lightgbm.sklearn.LGBMClassifier (implements lightgbm.sklearn.HasBooster, org.jpmml.lightgbm.HasLightGBMOptions)
                  • xgboost.sklearn.XGBClassifier (implements xgboost.sklearn.HasBooster, org.jpmml.xgboost.HasXGBoostOptions)
                • sklearn.svm.LibSVMClassifier
                • sklearn.linear_model.LinearClassifier
                  • sklearn.discriminant_analysis.LinearDiscriminantAnalysis
                  • sklearn.svm.LinearSVC
                  • sklearn.linear_model.logistic.LogisticRegression
                  • sklearn.linear_model.ridge.RidgeClassifier
                  • sklearn.linear_model.stochastic_gradient.SGDClassifier
                • sklearn.neural_network.MLPClassifier
                • sklearn.multiclass.OneVsRestClassifier (implements sklearn.HasEstimatorEnsemble<E>)
                • sklearn.pipeline.PipelineClassifier
                • sklearn2pmml.ruleset.RuleSetClassifier
                • sklearn2pmml.ensemble.SelectFirstClassifier
                • sklearn.ensemble.stacking.StackingClassifier (implements sklearn.HasEstimatorEnsemble<E>)
                • sklearn.tree.TreeClassifier (implements sklearn.tree.HasTree, sklearn.tree.HasTreeOptions)
                • sklearn.ensemble.voting.VotingClassifier (implements sklearn.HasEstimatorEnsemble<E>)
              • sklearn.Clusterer
                • sklearn.cluster.KMeans
                  • sklearn.cluster.MiniBatchKMeans
              • sklearn2pmml.EstimatorProxy (implements sklearn.HasClasses, sklearn.HasEstimator<E>)
              • sklearn.Regressor
                • sklearn.dummy.DummyRegressor (implements sklearn.HasDefaultValue)
                • sklearn.ensemble.EnsembleRegressor (implements sklearn.HasEstimatorEnsemble<E>)
                  • sklearn.ensemble.weight_boosting.AdaBoostRegressor
                  • sklearn.ensemble.bagging.BaggingRegressor
                  • sklearn.ensemble.iforest.IsolationForest (implements sklearn.HasDecisionFunctionField, sklearn.tree.HasTreeOptions)
                • sklearn.ensemble.forest.ForestRegressor (implements sklearn.HasEstimatorEnsemble<E>, sklearn.tree.HasTreeOptions)
                • sklearn2pmml.ensemble.GBDTLMRegressor
                • sklearn.ensemble.gradient_boosting.GradientBoostingRegressor (implements sklearn.HasEstimatorEnsemble<E>, sklearn.tree.HasTreeOptions)
                • sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingRegressor
                • sklearn.isotonic.IsotonicRegression
                • sklearn.neighbors.KNeighborsRegressor (implements sklearn.neighbors.HasNeighbors, sklearn.neighbors.HasTrainingData)
                • lightgbm.sklearn.LGBMRegressor (implements lightgbm.sklearn.HasBooster, org.jpmml.lightgbm.HasLightGBMOptions)
                • sklearn.svm.LibSVMRegressor
                  • sklearn.svm.OneClassSVM (implements sklearn.HasDecisionFunctionField)
                • sklearn.linear_model.LinearRegressor
                  • sklearn.linear_model.glm.GeneralizedLinearRegressor
                • sklearn.neural_network.MLPRegressor
                • sklearn.pipeline.PipelineRegressor
                • sklearn2pmml.ensemble.SelectFirstRegressor
                • sklearn.ensemble.stacking.StackingRegressor (implements sklearn.HasEstimatorEnsemble<E>)
                • sklearn.compose.TransformedTargetRegressor
                • sklearn.tree.TreeRegressor (implements sklearn.tree.HasTree, sklearn.tree.HasTreeOptions)
                • sklearn.ensemble.voting.VotingRegressor (implements sklearn.HasEstimatorEnsemble<E>)
                • xgboost.sklearn.XGBRegressor (implements xgboost.sklearn.HasBooster, org.jpmml.xgboost.HasXGBoostOptions)
            • sklearn.Transformer
              • sklearn2pmml.preprocessing.Aggregator
              • sklearn2pmml.decoration.Alias
              • sklearn.decomposition.BasePCA
                • sklearn.decomposition.PCA
                  • sklearn.decomposition.IncrementalPCA
                • sklearn.decomposition.TruncatedSVD
              • sklearn.preprocessing.Binarizer
              • sklearn2pmml.preprocessing.scipy.BSplineTransformer
              • sklearn2pmml.preprocessing.CastTransformer
              • sklearn_pandas.CategoricalImputer
              • category_encoders.CategoryEncoder
                • 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
              • sklearn2pmml.preprocessing.ConcatTransformer
              • sklearn.feature_extraction.text.CountVectorizer
                • sklearn.feature_extraction.text.TfidfVectorizer
              • sklearn2pmml.preprocessing.CutTransformer
              • sklearn2pmml.decoration.Domain
                • sklearn2pmml.decoration.ContinuousDomain
                • sklearn2pmml.decoration.DiscreteDomain
                  • sklearn2pmml.decoration.CategoricalDomain
                  • sklearn2pmml.decoration.OrdinalDomain
                • sklearn2pmml.decoration.TemporalDomain
                  • sklearn2pmml.decoration.DateDomain
                  • sklearn2pmml.decoration.DateTimeDomain
              • sklearn2pmml.preprocessing.DurationTransformer
                • sklearn2pmml.preprocessing.DaysSinceYearTransformer
                • sklearn2pmml.preprocessing.SecondsSinceYearTransformer
              • sklego.meta.EstimatorTransformer (implements sklearn.HasEstimator<E>)
              • sklearn2pmml.preprocessing.ExpressionTransformer
              • sklearn.preprocessing.FunctionTransformer
              • sklearn.preprocessing.KBinsDiscretizer
              • sklearn.preprocessing.LabelBinarizer
                • sklearn2pmml.preprocessing.PMMLLabelBinarizer
              • sklearn.preprocessing.LabelEncoder
                • sklearn2pmml.preprocessing.PMMLLabelEncoder
              • sklearn2pmml.preprocessing.LookupTransformer
                • sklearn2pmml.preprocessing.FilterLookupTransformer
                • sklearn2pmml.preprocessing.MultiLookupTransformer
              • sklearn.preprocessing.MaxAbsScaler
              • sklearn.preprocessing.MinMaxScaler
              • sklearn.impute.MissingIndicator
              • sklearn.MultiTransformer
                • mlxtend.preprocessing.DenseTransformer
                • sklearn2pmml.decoration.DomainEraser
                  • sklearn2pmml.decoration.ContinuousDomainEraser
                  • sklearn2pmml.decoration.DiscreteDomainEraser
                • sklearn.Drop
                • sklearn.pipeline.FeatureUnion
                • sklearn2pmml.preprocessing.h2o.H2OFrameCreator
                • sklego.preprocessing.IdentityTransformer
                • sklearn.Initializer
                  • sklearn.compose.ColumnTransformer
                  • sklearn_pandas.DataFrameMapper
                  • sklearn.feature_extraction.DictVectorizer
                • sklearn2pmml.decoration.MultiDomain
                • sklearn.preprocessing.MultiOneHotEncoder
                • sklearn.None
                • sklearn.PassThrough
                • imblearn.Sampler
                • sklearn.Selector
                  • sklearn.feature_selection.PySelector
                  • sklearn.feature_selection.SelectFromModel (implements sklearn.HasEstimator<E>)
                  • sklearn.feature_selection.SelectKBest
                  • sklearn2pmml.SelectorProxy
                  • sklearn2pmml.feature_selection.SelectUnique
              • sklearn.preprocessing.OneHotEncoder
              • sklearn.preprocessing.OrdinalEncoder
              • sklearn2pmml.preprocessing.PatternTransformer
                • sklearn2pmml.preprocessing.MatchesTransformer
                • sklearn2pmml.preprocessing.ReplaceTransformer
              • sklearn.pipeline.PipelineTransformer
              • sklearn.preprocessing.PolynomialFeatures
              • sklearn2pmml.preprocessing.PowerFunctionTransformer
              • sklearn.preprocessing.PowerTransformer
              • sklearn.preprocessing.RobustScaler
              • sklearn2pmml.preprocessing.SecondsSinceMidnightTransformer
              • sklearn.impute.SimpleImputer
                • sklearn.preprocessing.Imputer
              • tpot.builtins.StackingEstimator (implements sklearn.HasEstimator<E>)
              • sklearn.preprocessing.StandardScaler
              • sklearn2pmml.preprocessing.StringNormalizer
              • sklearn2pmml.preprocessing.SubstringTransformer
              • sklearn2pmml.preprocessing.WordCountTransformer
          • sklearn.ensemble.gradient_boosting.ZeroEstimator (implements sklearn.HasDefaultValue, sklearn.HasPriorProbability)
          • sklearn.feature_extraction.text.TfidfTransformer
          • sklearn.feature_extraction.text.Tokenizer (implements collections.Callable)
            • sklearn2pmml.feature_extraction.text.Matcher
            • sklearn2pmml.feature_extraction.text.Splitter
          • sklearn_pandas.TransformerPipeline
          • sklearn.ensemble.hist_gradient_boosting.TreePredictor
          • sklearn2pmml.pipeline.Verification
  • org.jpmml.model.visitors.AbstractVisitor (implements org.dmg.pmml.Visitor)
    • org.jpmml.converter.visitors.AbstractTreeModelTransformer
      • org.jpmml.sklearn.visitors.TreeModelCompactor
      • org.jpmml.sklearn.visitors.TreeModelFlattener
  • sklearn.ensemble.bagging.BaggingUtil
  • lightgbm.sklearn.BoosterUtil
  • xgboost.sklearn.BoosterUtil
  • category_encoders.CategoryEncoderUtil
  • sklearn.ClassifierUtil
  • sklearn2pmml.decoration.DomainUtil
  • sklearn.preprocessing.EncoderUtil
  • sklearn.ensemble.EnsembleUtil
  • org.jpmml.converter.Feature
    • org.jpmml.converter.ThresholdFeature (implements org.jpmml.converter.HasDerivedName)
      • category_encoders.BaseNFeature
      • category_encoders.MapFeature
  • sklearn.ensemble.forest.ForestUtil
  • sklearn2pmml.ensemble.GBDTUtil
  • sklearn.ensemble.gradient_boosting.GradientBoostingUtil
  • sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingUtil
  • sklearn.impute.ImputerUtil
  • sklearn.neighbors.KNeighborsUtil
  • org.jpmml.sklearn.Main
  • sklearn.neural_network.MultilayerPerceptronUtil
  • org.jpmml.converter.PMMLEncoder
    • org.jpmml.converter.ModelEncoder
      • org.jpmml.python.PythonEncoder
        • org.jpmml.sklearn.SkLearnEncoder
  • sklearn2pmml.ensemble.SelectFirstUtil
  • sklearn.SkLearnOutlierTransformation (implements org.jpmml.converter.Transformation)
  • sklearn.SkLearnUtil
  • sklearn.ensemble.stacking.StackingUtil
  • sklearn.StepUtil
  • sklearn.svm.SupportVectorMachineUtil
  • sklearn.ensemble.hist_gradient_boosting.TreePredictorUtil
  • sklearn.tree.TreeUtil

Interface Hierarchy

• java.util.function.BiFunction<T,U,R>
  • category_encoders.MeanEncoder.MeanFunction
• lightgbm.sklearn.HasBooster
• xgboost.sklearn.HasBooster
• sklearn.HasClasses
• sklearn.HasDecisionFunctionField
• sklearn.HasDefaultValue
• sklearn.HasEstimator<E>
• sklearn.HasEstimatorEnsemble<E>
• org.jpmml.converter.HasNativeConfiguration
  • sklearn.tree.HasTreeOptions (also extends org.jpmml.sklearn.HasSkLearnOptions)
• sklearn.neighbors.HasNeighbors
• sklearn.HasNumberOfFeatures
• org.jpmml.converter.HasOptions
  • sklearn.HasClassifierOptions
  • org.jpmml.sklearn.HasSkLearnOptions
    • sklearn.HasClassifierOptions
    • sklearn.tree.HasTreeOptions (also extends org.jpmml.converter.HasNativeConfiguration)
  • sklearn.tree.HasTreeOptions (also extends org.jpmml.converter.HasNativeConfiguration, org.jpmml.sklearn.HasSkLearnOptions)
• sklearn.HasPredictField
• sklearn.HasPriorProbability
• sklearn.neighbors.HasTrainingData
• sklearn.tree.HasTree
• sklearn.HasType
• sklearn.ensemble.stacking.StackingUtil.PredictFunction