Hierarchy For All Packages

Package Hierarchies:

• category_encoders,
• h2o.estimators,
• lightgbm.sklearn,
• 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,
• 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
          • category_encoders.CategoryEncoder.Mapping
          • sklearn.Composite (implements sklearn.HasNumberOfFeatures, sklearn.HasType)
            • sklearn.pipeline.Pipeline (implements org.jpmml.python.Castable)
              • sklearn2pmml.pipeline.PMMLPipeline
          • 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.Estimator (implements sklearn.HasNumberOfFeatures, sklearn.HasType)
            • h2o.estimators.BaseEstimator (implements sklearn.HasClasses)
            • 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.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
              • 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.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
          • sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator (implements sklearn.HasPriorProbability)
          • sklearn.ensemble.gradient_boosting.QuantileEstimator (implements sklearn.HasDefaultValue)
          • sklearn2pmml.feature_extraction.text.Splitter
          • sklearn.ensemble.gradient_boosting.ZeroEstimator (implements sklearn.HasDefaultValue, sklearn.HasPriorProbability)
          • sklearn.feature_extraction.text.TfidfTransformer
          • sklearn.Transformer (implements sklearn.HasType)
            • sklearn2pmml.preprocessing.Aggregator (implements sklearn.HasNumberOfFeatures)
            • sklearn2pmml.decoration.Alias
            • sklearn.decomposition.BasePCA (implements sklearn.HasNumberOfFeatures)
              • 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.OrdinalEncoder
            • sklearn2pmml.preprocessing.ConcatTransformer
            • sklearn.feature_extraction.text.CountVectorizer (implements sklearn.HasNumberOfFeatures)
              • sklearn.feature_extraction.text.TfidfVectorizer
            • sklearn2pmml.preprocessing.CutTransformer
            • sklearn2pmml.decoration.Domain (implements sklearn.HasNumberOfFeatures)
              • 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
            • sklearn2pmml.preprocessing.ExpressionTransformer
            • sklearn.preprocessing.FunctionTransformer
            • sklearn.preprocessing.LabelBinarizer
              • sklearn2pmml.preprocessing.PMMLLabelBinarizer
            • sklearn.preprocessing.LabelEncoder
              • sklearn2pmml.preprocessing.PMMLLabelEncoder
            • sklearn2pmml.preprocessing.LookupTransformer
              • sklearn2pmml.preprocessing.MultiLookupTransformer
            • sklearn.preprocessing.MaxAbsScaler (implements sklearn.HasNumberOfFeatures)
            • sklearn.preprocessing.MinMaxScaler (implements sklearn.HasNumberOfFeatures)
            • sklearn.impute.MissingIndicator (implements sklearn.HasNumberOfFeatures)
            • sklearn.MultiTransformer
              • sklearn.Drop
              • sklearn.pipeline.FeatureUnion
              • sklearn2pmml.preprocessing.h2o.H2OFrameCreator
              • sklearn2pmml.preprocessing.IdentityTransformer
              • sklearn.Initializer
                • sklearn.compose.ColumnTransformer
                • sklearn_pandas.DataFrameMapper
                • sklearn.feature_extraction.DictVectorizer
              • sklearn2pmml.decoration.MultiDomain
              • sklearn.preprocessing.MultiOneHotEncoder
              • sklearn.PassThrough
              • sklearn.Selector (implements sklearn.HasNumberOfFeatures)
                • 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 (implements sklearn.HasNumberOfFeatures)
            • sklearn.preprocessing.PolynomialFeatures (implements sklearn.HasNumberOfFeatures)
            • sklearn2pmml.preprocessing.PowerFunctionTransformer
            • sklearn.preprocessing.RobustScaler (implements sklearn.HasNumberOfFeatures)
            • sklearn2pmml.preprocessing.SecondsSinceMidnightTransformer
            • sklearn.impute.SimpleImputer (implements sklearn.HasNumberOfFeatures)
              • sklearn.preprocessing.Imputer
            • tpot.builtins.StackingEstimator (implements sklearn.HasEstimator<E>, sklearn.HasNumberOfFeatures)
            • sklearn.preprocessing.StandardScaler (implements sklearn.HasNumberOfFeatures)
            • sklearn2pmml.preprocessing.StringNormalizer
            • sklearn2pmml.preprocessing.SubstringTransformer
          • 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
  • sklearn.ClassifierUtil
  • sklearn2pmml.decoration.DomainUtil
  • sklearn.preprocessing.EncoderUtil
  • sklearn.ensemble.EnsembleUtil
  • sklearn.EstimatorEnsembleUtil
  • org.jpmml.converter.Feature
    • category_encoders.BaseNFeature (implements org.jpmml.converter.HasDerivedName)
  • 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
  • org.dmg.pmml.PMMLObject (implements org.dmg.pmml.HasLocator, java.io.Serializable, org.dmg.pmml.Visitable)
    • org.dmg.pmml.ScoreDistribution (implements org.dmg.pmml.HasExtensions<E>)
      • sklearn.tree.InternableScoreDistribution
  • sklearn.tree.ScoreDistributionManager
  • sklearn2pmml.ensemble.SelectFirstUtil
  • org.jpmml.sklearn.SkLearnUtil
  • sklearn.ensemble.stacking.StackingUtil
  • sklearn.svm.SupportVectorMachineUtil
  • sklearn.TransformerUtil
  • sklearn.ensemble.hist_gradient_boosting.TreePredictorUtil
  • sklearn.tree.TreeUtil

Interface Hierarchy

• lightgbm.sklearn.HasBooster
• xgboost.sklearn.HasBooster
• sklearn.HasClasses
• 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.HasPriorProbability
• sklearn.neighbors.HasTrainingData
• sklearn.tree.HasTree
• sklearn.HasType
• sklearn.ensemble.stacking.StackingUtil.PredictFunction