org.jpmml.sklearn

Interface Encodable

All Known Implementing Classes:

AdaBoostRegressor, BaggingClassifier, BaggingRegressor, BaseEncoder, BasePCA, Binarizer, CalibratedClassifier, CalibratedClassifierCV, Calibrator, ClassifierChain, ColumnTransformer, CountVectorizer, DummyClassifier, DummyRegressor, EnsembleClassifier, EnsembleRegressor, FeatureUnion, ForestClassifier, ForestRegressor, FunctionTransformer, GaussianNB, GeneralizedLinearRegressor, GradientBoostingClassifier, GradientBoostingRegressor, HistGradientBoostingClassifier, HistGradientBoostingRegressor, Imputer, IncrementalPCA, IsolationForest, IsotonicRegression, KBinsDiscretizer, KMeans, KNeighborsClassifier, KNeighborsRegressor, LabelBinarizer, LabelEncoder, LibSVMClassifier, LibSVMRegressor, LinearClassifier, LinearDiscriminantAnalysis, LinearRegressor, LinearSVC, LogisticRegression, MaxAbsScaler, MiniBatchKMeans, MinMaxScaler, MissingIndicator, MLPClassifier, MLPRegressor, MultiOneHotEncoder, MultiOutputClassifier, MultiOutputRegressor, NearestCentroid, NearestNeighbors, OneClassSVM, OneHotEncoder, OneVsRestClassifier, OrdinalEncoder, PCA, PMMLLabelBinarizer, PMMLLabelEncoder, PMMLPipeline, PolynomialFeatures, PowerTransformer, RegressorChain, RidgeClassifier, RobustScaler, Scaler, SGDClassifier, SGDOneClassSVM, SigmoidCalibration, SimpleImputer, SkLearnClassifier, SkLearnClusterer, SkLearnPipeline, SkLearnRegressor, SkLearnTransformer, StackingClassifier, StackingRegressor, StandardScaler, TfidfVectorizer, TransformedTargetRegressor, TreeClassifier, TreeRegressor, TruncatedSVD, VotingClassifier, VotingRegressor

public interface Encodable

Method Summary

Modifier and Type	Method and Description
org.dmg.pmml.PMML	encodePMML()

Method Detail

encodePMML

org.dmg.pmml.PMML encodePMML()