Hierarchy For All Packages

Package Hierarchies:

• collections,
• joblib,
• lightgbm.sklearn,
• numpy,
• numpy.core,
• numpy.random,
• org.jpmml.sklearn,
• org.jpmml.sklearn.visitors,
• scipy.sparse,
• sklearn,
• sklearn_pandas,
• sklearn.cluster,
• sklearn.decomposition,
• sklearn.dummy,
• sklearn.ensemble,
• sklearn.ensemble.bagging,
• sklearn.ensemble.forest,
• sklearn.ensemble.gradient_boosting,
• sklearn.ensemble.iforest,
• sklearn.ensemble.weight_boosting,
• sklearn.ensemble.voting_classifier,
• sklearn.feature_extraction,
• sklearn.feature_extraction.text,
• sklearn.feature_selection,
• sklearn.linear_model,
• sklearn.linear_model.logistic,
• sklearn.linear_model.ridge,
• sklearn.linear_model.stochastic_gradient,
• sklearn.multiclass,
• sklearn.naive_bayes,
• sklearn.neighbors,
• sklearn.neural_network,
• sklearn.pipeline,
• sklearn.preprocessing,
• sklearn.svm,
• sklearn.tree,
• sklearn2pmml,
• sklearn2pmml.decoration,
• sklearn2pmml.feature_extraction.text,
• sklearn2pmml.pipeline,
• sklearn2pmml.preprocessing,
• tpot.builtins,
• xgboost.sklearn

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.sklearn.CClassDict
          • sklearn.neighbors.BinaryTree
          • collections.DefaultDict
          • sklearn.neighbors.DistanceMetric
          • numpy.DType
          • 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
          • numpy.core.NDArray (implements org.jpmml.sklearn.HasArray)
          • sklearn.tree.PresortBestSplitter
          • numpy.random.RandomState
          • sklearn.tree.RegressionCriterion
          • numpy.core.Scalar (implements org.jpmml.sklearn.HasArray)
          • sklearn.tree.Tree
          • numpy.core.UFunc
        • org.jpmml.sklearn.PyClassDict
          • lightgbm.sklearn.Booster
          • xgboost.sklearn.Booster
          • scipy.sparse.CSRMatrix (implements org.jpmml.sklearn.HasArray)
          • sklearn.Estimator (implements sklearn.HasNumberOfFeatures)
            • sklearn.Classifier (implements sklearn.HasClasses)
              • sklearn.dummy.DummyClassifier
              • 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
              • sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (implements sklearn.HasEstimatorEnsemble<E>, sklearn.tree.HasTreeOptions)
              • sklearn.neighbors.KNeighborsClassifier (implements sklearn.neighbors.HasNeighbors, sklearn.neighbors.HasTrainingData)
              • sklearn.LabelEncoderClassifier
                • lightgbm.sklearn.LGBMClassifier (implements lightgbm.sklearn.HasBooster, lightgbm.sklearn.HasLightGBMOptions)
                • xgboost.sklearn.XGBClassifier (implements xgboost.sklearn.HasBooster, xgboost.sklearn.HasXGBoostOptions)
              • sklearn.svm.LibSVMClassifier
              • sklearn.linear_model.LinearClassifier
                • 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.tree.TreeClassifier (implements sklearn.tree.HasTree, sklearn.tree.HasTreeOptions)
              • sklearn.ensemble.voting_classifier.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
              • 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)
              • sklearn.ensemble.gradient_boosting.GradientBoostingRegressor (implements sklearn.HasEstimatorEnsemble<E>, sklearn.tree.HasTreeOptions)
              • sklearn.neighbors.KNeighborsRegressor (implements sklearn.neighbors.HasNeighbors, sklearn.neighbors.HasTrainingData)
              • lightgbm.sklearn.LGBMRegressor (implements lightgbm.sklearn.HasBooster, lightgbm.sklearn.HasLightGBMOptions)
              • sklearn.svm.LibSVMRegressor
                • sklearn.svm.OneClassSVM
              • sklearn.linear_model.LinearRegressor
              • sklearn.neural_network.MLPRegressor
              • sklearn.tree.TreeRegressor (implements sklearn.tree.HasTree, sklearn.tree.HasTreeOptions)
              • xgboost.sklearn.XGBRegressor (implements xgboost.sklearn.HasBooster, xgboost.sklearn.HasXGBoostOptions)
          • sklearn.ensemble.gradient_boosting.LogOddsEstimator (implements sklearn.ensemble.gradient_boosting.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
          • joblib.NDArrayWrapper (implements org.jpmml.sklearn.HasArray)
          • joblib.NumpyArrayWrapper
          • sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator (implements sklearn.ensemble.gradient_boosting.HasPriorProbability)
          • sklearn.ensemble.gradient_boosting.QuantileEstimator
          • sklearn2pmml.feature_extraction.text.Splitter
          • sklearn.ensemble.gradient_boosting.ZeroEstimator (implements sklearn.ensemble.gradient_boosting.HasPriorProbability)
          • sklearn.feature_extraction.text.TfidfTransformer
          • sklearn.Transformer
            • sklearn2pmml.preprocessing.Aggregator (implements sklearn.HasNumberOfFeatures)
            • sklearn2pmml.decoration.Alias
            • sklearn.preprocessing.Binarizer
            • sklearn_pandas.CategoricalImputer
            • sklearn.feature_extraction.text.CountVectorizer (implements sklearn.HasNumberOfFeatures)
              • sklearn.feature_extraction.text.TfidfVectorizer
            • sklearn2pmml.preprocessing.CutTransformer
            • sklearn2pmml.decoration.Domain
              • sklearn2pmml.decoration.CategoricalDomain
              • sklearn2pmml.decoration.ContinuousDomain
            • sklearn2pmml.preprocessing.ExpressionTransformer
            • sklearn.preprocessing.FunctionTransformer
            • sklearn.preprocessing.Imputer (implements sklearn.HasNumberOfFeatures)
            • 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.MultiTransformer
              • sklearn.pipeline.FeatureUnion
              • sklearn.Initializer
                • sklearn_pandas.DataFrameMapper
                • sklearn.feature_extraction.DictVectorizer
              • sklearn2pmml.decoration.MultiDomain
              • sklearn.Selector (implements sklearn.HasNumberOfFeatures)
                • sklearn.feature_selection.PySelector
                • sklearn.feature_selection.SelectFromModel (implements sklearn.HasEstimator<E>)
                • sklearn.feature_selection.SelectKBest
                • sklearn2pmml.SelectorProxy
            • sklearn.preprocessing.OneHotEncoder
            • sklearn.decomposition.PCA (implements sklearn.HasNumberOfFeatures)
              • sklearn.decomposition.IncrementalPCA
            • sklearn.pipeline.Pipeline
              • sklearn2pmml.pipeline.PMMLPipeline (implements sklearn.HasEstimator<E>)
            • sklearn.preprocessing.PolynomialFeatures (implements sklearn.HasNumberOfFeatures)
            • sklearn2pmml.preprocessing.PowerFunctionTransformer
            • sklearn.preprocessing.RobustScaler (implements sklearn.HasNumberOfFeatures)
            • tpot.builtins.StackingEstimator (implements sklearn.HasEstimator<E>)
            • sklearn.preprocessing.StandardScaler (implements sklearn.HasNumberOfFeatures)
            • sklearn2pmml.preprocessing.StringNormalizer
          • sklearn_pandas.TransformerPipeline
          • sklearn2pmml.pipeline.Verification
  • org.jpmml.model.visitors.AbstractVisitor (implements org.dmg.pmml.Visitor)
    • org.jpmml.sklearn.visitors.AbstractExtender
    • org.jpmml.sklearn.visitors.TreeModelCompactor
    • org.jpmml.sklearn.visitors.TreeModelFlattener
  • sklearn.ensemble.bagging.BaggingUtil
  • lightgbm.sklearn.BoosterUtil
  • xgboost.sklearn.BoosterUtil
  • org.jpmml.sklearn.CastFunction<E> (implements com.google.common.base.Function<F,T>)
  • org.jpmml.sklearn.ClassDictConstructorUtil
  • org.jpmml.sklearn.ClassDictUtil
  • sklearn.ClassifierUtil
  • scipy.sparse.CSRMatrixUtil
  • sklearn2pmml.decoration.DomainUtil
  • sklearn.EstimatorUtil
  • org.jpmml.converter.Feature
    • org.jpmml.converter.CategoricalFeature
      • tpot.builtins.CategoricalOutputFeature
    • org.jpmml.converter.ContinuousFeature
      • tpot.builtins.ContinuousOutputFeature
  • org.jpmml.sklearn.FileStorage (implements org.jpmml.sklearn.Storage)
  • sklearn.ensemble.forest.ForestUtil
  • sklearn.ensemble.gradient_boosting.GradientBoostingUtil
  • sklearn.preprocessing.ImputerUtil
  • org.jpmml.sklearn.InputStreamStorage (implements org.jpmml.sklearn.Storage)
    • org.jpmml.sklearn.CompressedInputStreamStorage
  • sklearn.neighbors.KNeighborsUtil
  • org.jpmml.sklearn.Main
  • sklearn.neural_network.MultilayerPerceptronUtil
  • numpy.core.NDArrayUtil
  • org.jpmml.sklearn.ObjectConstructor (implements net.razorvine.pickle.IObjectConstructor)
    • org.jpmml.sklearn.ExtensionObjectConstructor
    • joblib.NDArrayWrapperConstructor
  • tpot.builtins.OutputUtil
  • org.jpmml.sklearn.PickleUtil
  • org.jpmml.converter.PMMLEncoder
    • org.jpmml.converter.ModelEncoder
      • org.jpmml.sklearn.SkLearnEncoder
  • numpy.core.ScalarUtil
  • org.jpmml.sklearn.SkLearnUtil
  • sklearn.svm.SupportVectorMachineUtil
  • sklearn.TransformerUtil
  • sklearn.tree.TreeModelUtil
  • org.jpmml.sklearn.TupleUtil
  • sklearn.TypeUtil

Interface Hierarchy

• java.lang.AutoCloseable
  • java.io.Closeable
    • org.jpmml.sklearn.Storage
  • org.jpmml.sklearn.Storage
• org.jpmml.sklearn.HasArray
• lightgbm.sklearn.HasBooster
• xgboost.sklearn.HasBooster
• sklearn.HasClasses
• sklearn.HasEstimator<E>
• sklearn.HasEstimatorEnsemble<E>
• sklearn.neighbors.HasNeighbors
• sklearn.HasNumberOfFeatures
• org.jpmml.sklearn.HasOptions
  • sklearn.HasClassifierOptions
  • lightgbm.sklearn.HasLightGBMOptions
  • sklearn.tree.HasTreeOptions
  • xgboost.sklearn.HasXGBoostOptions
• sklearn.ensemble.gradient_boosting.HasPriorProbability
• sklearn.neighbors.HasTrainingData
• sklearn.tree.HasTree