Hierarchy For All Packages

Package Hierarchies:

• joblib,
• numpy,
• numpy.core,
• numpy.random,
• org.jpmml.sklearn,
• scipy.sparse,
• sklearn,
• sklearn_pandas,
• sklearn.cluster,
• sklearn.decomposition,
• sklearn.discriminant_analysis,
• sklearn.ensemble,
• sklearn.ensemble.bagging,
• sklearn.ensemble.forest,
• sklearn.ensemble.gradient_boosting,
• sklearn.ensemble.iforest,
• sklearn.ensemble.weight_boosting,
• sklearn.ensemble.voting_classifier,
• sklearn.linear_model,
• sklearn.linear_model.coordinate_descent,
• sklearn.linear_model.ridge,
• sklearn.linear_model.stochastic_gradient,
• sklearn.naive_bayes,
• sklearn.neighbors,
• sklearn.neural_network,
• sklearn.preprocessing,
• sklearn.svm,
• sklearn.tree,
• sklearn2pmml.decoration,
• 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
        • sklearn.BaseEstimator
          • sklearn.Estimator
            • sklearn.Classifier
              • sklearn.ensemble.forest.BaseForestClassifier
                • sklearn.ensemble.forest.ExtraTreesClassifier
                • sklearn.ensemble.forest.RandomForestClassifier
              • sklearn.svm.BaseLibSVMClassifier
                • sklearn.svm.NuSVC
                • sklearn.svm.SVC
              • sklearn.linear_model.BaseLinearClassifier
                • sklearn.discriminant_analysis.LinearDiscriminantAnalysis
                • sklearn.linear_model.LogisticRegression
                • sklearn.linear_model.ridge.RidgeClassifier
                • sklearn.linear_model.stochastic_gradient.SGDClassifier
              • sklearn.ensemble.EnsembleClassifier
                • sklearn.ensemble.bagging.BaggingClassifier
              • sklearn.naive_bayes.GaussianNB
              • sklearn.ensemble.gradient_boosting.GradientBoostingClassifier
              • sklearn.neighbors.KNeighborsClassifier (implements sklearn.neighbors.HasNeighbors, sklearn.neighbors.HasTrainingData)
              • sklearn.neural_network.MLPClassifier
              • sklearn.tree.TreeClassifier (implements sklearn.tree.HasTree)
                • sklearn.tree.DecisionTreeClassifier
                • sklearn.tree.ExtraTreeClassifier
              • sklearn.ensemble.voting_classifier.VotingClassifier
              • xgboost.sklearn.XGBClassifier (implements xgboost.sklearn.HasBooster)
            • sklearn.Clusterer
              • sklearn.cluster.KMeans
                • sklearn.cluster.MiniBatchKMeans
            • sklearn.Regressor
              • sklearn.ensemble.forest.BaseForestRegressor
                • sklearn.ensemble.forest.ExtraTreesRegressor
                • sklearn.ensemble.forest.RandomForestRegressor
              • sklearn.svm.BaseLibSVMRegressor
                • sklearn.svm.NuSVR
                • sklearn.svm.OneClassSVM
                • sklearn.svm.SVR
              • sklearn.linear_model.BaseLinearRegressor
                • sklearn.linear_model.coordinate_descent.ElasticNet
                • sklearn.linear_model.coordinate_descent.Lasso
                • sklearn.linear_model.LinearRegression
                • sklearn.svm.LinearSVR
                • sklearn.linear_model.ridge.Ridge
                • sklearn.linear_model.stochastic_gradient.SGDRegressor
              • sklearn.ensemble.EnsembleRegressor
                • sklearn.ensemble.weight_boosting.AdaBoostRegressor
                • sklearn.ensemble.bagging.BaggingRegressor
                • sklearn.ensemble.iforest.IsolationForest
              • sklearn.ensemble.gradient_boosting.GradientBoostingRegressor
              • sklearn.neighbors.KNeighborsRegressor (implements sklearn.neighbors.HasNeighbors, sklearn.neighbors.HasTrainingData)
              • sklearn.neural_network.MLPRegressor
              • sklearn.tree.TreeRegressor (implements sklearn.tree.HasTree)
                • sklearn.tree.DecisionTreeRegressor
                • sklearn.tree.ExtraTreeRegressor
              • xgboost.sklearn.XGBRegressor (implements xgboost.sklearn.HasBooster)
          • sklearn.ensemble.gradient_boosting.LogOddsEstimator (implements sklearn.ensemble.gradient_boosting.HasPriorProbability)
            • sklearn.ensemble.gradient_boosting.ScaledLogOddsEstimator
          • sklearn.ensemble.gradient_boosting.MeanEstimator
          • sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator (implements sklearn.ensemble.gradient_boosting.HasPriorProbability)
          • sklearn.ensemble.gradient_boosting.QuantileEstimator
          • sklearn.ensemble.gradient_boosting.ZeroEstimator (implements sklearn.ensemble.gradient_boosting.HasPriorProbability)
        • xgboost.sklearn.Booster
        • org.jpmml.sklearn.CClassDict
          • sklearn.neighbors.BinaryTree
          • 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
        • scipy.sparse.CSRMatrix (implements org.jpmml.sklearn.HasArray)
        • sklearn_pandas.DataFrameMapper
        • sklearn.ensemble.gradient_boosting.LossFunction
          • sklearn.ensemble.gradient_boosting.BinomialDeviance
          • sklearn.ensemble.gradient_boosting.ExponentialLoss
          • sklearn.ensemble.gradient_boosting.MultinomialDeviance
        • joblib.NDArrayWrapper (implements org.jpmml.sklearn.HasArray)
        • joblib.NumpyArrayWrapper
        • sklearn.Transformer
          • sklearn.preprocessing.Binarizer
          • sklearn2pmml.decoration.Domain
            • sklearn2pmml.decoration.CategoricalDomain
            • sklearn2pmml.decoration.ContinuousDomain
          • sklearn.preprocessing.FunctionTransformer
          • sklearn.preprocessing.Imputer
          • sklearn.preprocessing.LabelBinarizer
          • sklearn.preprocessing.LabelEncoder
          • sklearn.preprocessing.MaxAbsScaler
          • sklearn.preprocessing.MinMaxScaler
          • sklearn.preprocessing.OneHotEncoder
          • sklearn.decomposition.PCA
            • sklearn.decomposition.IncrementalPCA
          • sklearn.preprocessing.RobustScaler
          • sklearn.preprocessing.StandardScaler
        • sklearn_pandas.TransformerPipeline
  • sklearn.ensemble.bagging.BaggingUtil
  • sklearn.ensemble.forest.BaseForestUtil
  • sklearn.linear_model.BaseLinearUtil
  • xgboost.sklearn.BoosterUtil
  • org.jpmml.sklearn.ClassDictUtil
  • scipy.sparse.CSRMatrixUtil
  • sklearn2pmml.decoration.DomainUtil
  • sklearn.EstimatorUtil
  • org.jpmml.sklearn.FileStorage (implements org.jpmml.sklearn.Storage)
  • sklearn.ensemble.gradient_boosting.GradientBoostingUtil
  • org.jpmml.sklearn.InputStreamStorage (implements org.jpmml.sklearn.Storage)
    • org.jpmml.sklearn.CompressedInputStreamStorage
  • sklearn.neighbors.KNeighborsUtil
  • org.jpmml.sklearn.LoggerUtil
  • org.jpmml.sklearn.Main
  • org.jpmml.sklearn.MatrixUtil
  • numpy.core.NDArrayUtil
  • sklearn.neural_network.NeuralNetworkUtil
  • org.jpmml.sklearn.ObjectConstructor (implements net.razorvine.pickle.IObjectConstructor)
    • org.jpmml.sklearn.ExtensionObjectConstructor
    • joblib.NDArrayWrapperConstructor
  • org.jpmml.sklearn.PickleUtil
  • org.jpmml.converter.PMMLMapper
    • org.jpmml.sklearn.FeatureMapper
  • sklearn.svm.SupportVectorMachineUtil
  • 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
• xgboost.sklearn.HasBooster
• sklearn.neighbors.HasNeighbors
• sklearn.ensemble.gradient_boosting.HasPriorProbability
• sklearn.neighbors.HasTrainingData
• sklearn.tree.HasTree