Hierarchy For All Packages

Package Hierarchies:

• chaid,
• org.jpmml.sklearn,
• org.jpmml.sklearn.testing,
• 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.loss,
• sklearn.metrics,
• sklearn.model_selection,
• sklearn.multiclass,
• sklearn.multioutput,
• sklearn.naive_bayes,
• sklearn.neighbors,
• sklearn.neural_network,
• sklearn.pipeline,
• sklearn.preprocessing,
• sklearn.svm,
• sklearn.tree,
• sklearn.tree.visitors,
• sklearn2pmml,
• sklearn2pmml.decoration,
• sklearn2pmml.ensemble,
• sklearn2pmml.feature_extraction.text,
• sklearn2pmml.feature_selection,
• sklearn2pmml.neural_network,
• sklearn2pmml.pipeline,
• sklearn2pmml.postprocessing,
• sklearn2pmml.preprocessing,
• sklearn2pmml.ruleset,
• sklearn2pmml.tree,
• sklearn2pmml.util

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
          • sklearn.ensemble.hist_gradient_boosting.BaseLoss
            • sklearn.ensemble.hist_gradient_boosting.BinaryCrossEntropy
            • sklearn.ensemble.hist_gradient_boosting.CategoricalCrossEntropy
          • sklearn.loss.BaseLoss
            • sklearn.loss.HalfBinomialLoss
            • sklearn.loss.HalfMultinomialLoss
          • sklearn.ensemble.hist_gradient_boosting.BinMapper
          • chaid.Column
            • chaid.ContinuousColumn
            • chaid.NominalColumn
          • org.jpmml.python.CustomPythonObject
            • sklearn.neighbors.BinaryTree
            • sklearn.loss.CyLossFunction
            • sklearn.metrics.DistanceMetric
            • 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
          • chaid.Node
          • sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator (implements sklearn.HasPriorProbability)
          • org.jpmml.python.PythonEnum
            • chaid.InvalidSplitReason
          • sklearn.ensemble.gradient_boosting.QuantileEstimator (implements sklearn.HasDefaultValue)
          • chaid.Split
          • sklearn.Step (implements sklearn.HasNumberOfFeatures, sklearn.HasType)
            • sklearn.Composite
              • sklearn.pipeline.Pipeline (implements org.jpmml.python.Castable)
                • sklearn2pmml.pipeline.PMMLPipeline
            • sklearn.Estimator (implements sklearn.HasNumberOfOutputs)
              • sklearn.Classifier (implements sklearn.HasClasses)
                • sklearn2pmml.tree.CHAIDClassifier
                • sklearn.multioutput.ClassifierChain
                • 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.HasMultiApplyField, 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.HasMetric, sklearn.neighbors.HasNumberOfNeighbors, sklearn.neighbors.HasTrainingData)
                • sklearn.LabelEncoderClassifier
                • 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.multioutput.MultiOutputClassifier
                • sklearn.neighbors.NearestCentroid (implements sklearn.neighbors.HasMetric, sklearn.neighbors.HasNumberOfNeighbors, sklearn.neighbors.HasTrainingData)
                • 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.HasApplyField, sklearn.tree.HasTree, sklearn.tree.HasTreeOptions)
                • sklearn.ensemble.voting.VotingClassifier (implements sklearn.HasEstimatorEnsemble<E>)
              • sklearn.Clusterer (implements sklearn.HasPredictField)
                • sklearn.cluster.KMeans
                  • sklearn.cluster.MiniBatchKMeans
                • sklearn.neighbors.NearestNeighbors (implements sklearn.neighbors.HasMetric, sklearn.neighbors.HasNumberOfNeighbors, sklearn.neighbors.HasTrainingData)
              • sklearn2pmml.ensemble.EstimatorChain (implements sklearn.HasClasses, sklearn.HasEstimatorEnsemble<E>)
              • sklearn2pmml.EstimatorProxy (implements sklearn.HasClasses, sklearn.HasEstimator<E>)
              • sklearn2pmml.ensemble.Link (implements sklearn.HasClasses, sklearn.HasEstimator<E>)
              • sklearn.Regressor
                • sklearn2pmml.tree.CHAIDRegressor
                • 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.HasMultiApplyField, 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.HasMetric, sklearn.neighbors.HasNumberOfNeighbors, sklearn.neighbors.HasTrainingData)
                • sklearn.svm.LibSVMRegressor
                  • sklearn.svm.OneClassSVM (implements sklearn.HasDecisionFunctionField)
                • sklearn.linear_model.LinearRegressor
                  • sklearn.linear_model.glm.GeneralizedLinearRegressor
                • sklearn.neural_network.MLPRegressor
                • sklearn.multioutput.MultiOutputRegressor
                • sklearn.pipeline.PipelineRegressor
                • sklearn.multioutput.RegressorChain
                • sklearn2pmml.ensemble.SelectFirstRegressor
                • sklearn.linear_model.stochastic_gradient.SGDOneClassSVM (implements sklearn.HasDecisionFunctionField)
                • sklearn.ensemble.stacking.StackingRegressor (implements sklearn.HasEstimatorEnsemble<E>)
                • sklearn.compose.TransformedTargetRegressor
                • sklearn.tree.TreeRegressor (implements sklearn.HasApplyField, sklearn.tree.HasTree, sklearn.tree.HasTreeOptions)
                • sklearn.ensemble.voting.VotingRegressor (implements sklearn.HasEstimatorEnsemble<E>)
            • 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.BSplineTransformer
              • sklearn2pmml.postprocessing.BusinessDecisionTransformer
              • sklearn2pmml.preprocessing.CastTransformer
              • sklearn_pandas.CategoricalImputer
              • 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
              • sklearn2pmml.preprocessing.ExpressionTransformer
              • sklearn2pmml.preprocessing.Formatter
                • sklearn2pmml.preprocessing.DateTimeFormatter
                • sklearn2pmml.preprocessing.NumberFormatter
              • 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
              • sklearn2pmml.neural_network.MLPTransformer
              • sklearn.MultiTransformer
                • sklearn.preprocessing.BaseEncoder
                  • sklearn.preprocessing.MultiOneHotEncoder
                  • sklearn.preprocessing.OrdinalEncoder
                • sklearn2pmml.decoration.DomainEraser
                  • sklearn2pmml.decoration.ContinuousDomainEraser
                  • sklearn2pmml.decoration.DiscreteDomainEraser
                • sklearn.Drop
                • sklearn.pipeline.FeatureUnion
                • sklearn.Initializer
                  • sklearn.compose.ColumnTransformer
                  • sklearn2pmml.preprocessing.DataFrameConstructor
                  • sklearn_pandas.DataFrameMapper
                  • sklearn.feature_extraction.DictVectorizer
                • sklearn2pmml.decoration.MultiDomain
                • sklearn.None
                • sklearn.PassThrough
                • sklearn2pmml.util.Reshaper
                • 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
              • 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
              • 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.converter.transformations.AbstractTransformation (implements org.jpmml.converter.Transformation)
    • sklearn.SkLearnOutlierTransformation
  • org.jpmml.model.visitors.AbstractVisitor (implements org.dmg.pmml.Visitor)
    • org.jpmml.converter.visitors.AbstractTreeModelTransformer
      • sklearn.tree.visitors.TreeModelCompactor
      • sklearn.tree.visitors.TreeModelFlattener
      • sklearn.tree.visitors.TreeModelPruner
  • org.jpmml.evaluator.testing.ArchiveBatch (implements org.jpmml.evaluator.testing.Batch)
    • org.jpmml.converter.testing.ModelEncoderBatch
      • org.jpmml.python.testing.PythonEncoderBatch
        • org.jpmml.sklearn.testing.SkLearnEncoderBatch
  • sklearn.ensemble.bagging.BaggingUtil
  • org.jpmml.evaluator.testing.BatchTest
    • org.jpmml.evaluator.testing.ArchiveBatchTest
      • org.jpmml.converter.testing.ModelEncoderBatchTest
        • org.jpmml.python.testing.PythonEncoderBatchTest
          • org.jpmml.sklearn.testing.SkLearnEncoderBatchTest
  • sklearn2pmml.tree.CHAIDUtil
  • sklearn.multioutput.ChainUtil
  • sklearn2pmml.decoration.DomainUtil
  • sklearn.preprocessing.EncoderUtil
  • sklearn.ensemble.EnsembleUtil
  • sklearn.EstimatorUtil
  • sklearn.ensemble.forest.ForestUtil
  • sklearn2pmml.ensemble.GBDTUtil
  • sklearn.ensemble.gradient_boosting.GradientBoostingUtil
  • sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingUtil
  • sklearn.impute.ImputerUtil
  • sklearn.InitializerUtil
  • sklearn.neighbors.KNeighborsUtil
  • sklearn.neural_network.MultilayerPerceptronUtil
  • sklearn.multioutput.MultiOutputUtil
  • sklearn.svm.OneClassSVMUtil
  • org.jpmml.converter.PMMLEncoder
    • org.jpmml.converter.ModelEncoder
      • org.jpmml.python.PythonEncoder
        • org.jpmml.sklearn.SkLearnEncoder
  • sklearn.ScalarLabelUtil
  • sklearn2pmml.ensemble.SelectFirstUtil
  • sklearn.SkLearnUtil
  • sklearn.ensemble.stacking.StackingUtil
  • sklearn.StepUtil
  • sklearn.svm.SupportVectorMachineUtil
  • sklearn.ensemble.hist_gradient_boosting.TreePredictorUtil
  • sklearn.tree.TreeUtil

Interface Hierarchy

• org.jpmml.sklearn.FieldNames
• sklearn.HasApplyField
• sklearn.HasClasses
• sklearn.HasDecisionFunctionField
• sklearn.HasDefaultValue
• sklearn.HasEstimator<E>
• sklearn.HasEstimatorEnsemble<E>
• sklearn.neighbors.HasMetric
• sklearn.HasMultiApplyField
• org.jpmml.converter.HasNativeConfiguration
  • sklearn.tree.HasTreeOptions (also extends org.jpmml.sklearn.HasSkLearnOptions)
• sklearn.HasNumberOfFeatures
• sklearn.neighbors.HasNumberOfNeighbors
• sklearn.HasNumberOfOutputs
• org.jpmml.converter.HasOptions
  • org.jpmml.sklearn.HasSkLearnOptions
    • sklearn.HasClassifierOptions
    • sklearn.tree.HasTreeOptions (also extends org.jpmml.converter.HasNativeConfiguration)
• sklearn.HasPredictField
• sklearn.HasPriorProbability
• sklearn.neighbors.HasTrainingData
• sklearn.tree.HasTree
• sklearn.HasType
• sklearn2pmml.SkLearn2PMMLFields
• sklearn.SkLearnFields
• sklearn.SkLearnMethods
• sklearn.ensemble.stacking.StackingUtil.PredictFunction