Package sklearn

Interface HasType

All Known Subinterfaces:

HasMultiType

All Known Implementing Classes:

AdaBoostRegressor, AggregateTransformer, Alias, BaggingClassifier, BaggingRegressor, BaseEncoder, BasePCA, BernoulliNB, Binarizer, BSplineTransformer, BusinessDecisionTransformer, CalibratedClassifier, CalibratedClassifierCV, Calibrator, CastTransformer, CategoricalDomain, CategoricalImputer, CategoricalNB, CHAIDClassifier, CHAIDRegressor, Classifier, ClassifierChain, Clusterer, ColumnTransformer, Composite, CompositeClassifier, CompositeClusterer, CompositeRegressor, CompositeTransformer, ConcatTransformer, ContinuousDomain, ContinuousDomainEraser, CountVectorizer, CutTransformer, DataFrameConstructor, DataFrameMapper, DateDomain, DateTimeDomain, DateTimeFormatter, DaysSinceYearTransformer, Decorator, DictVectorizer, DiscreteDomain, DiscreteDomainEraser, DiscreteNB, Domain, DomainEraser, Drop, DummyClassifier, DummyRegressor, DurationTransformer, EnsembleClassifier, EnsembleRegressor, Estimator, EstimatorChain, EstimatorProxy, ExpressionClassifier, ExpressionRegressor, ExpressionTransformer, FeatureUnion, FilterLookupTransformer, FixedThresholdClassifier, ForestClassifier, ForestRegressor, Formatter, FrozenEstimator, FunctionTransformer, GaussianNB, GBDTLMRegressor, GBDTLRClassifier, GeneralizedLinearRegressor, GradientBoostingClassifier, GradientBoostingRegressor, HistGradientBoostingClassifier, HistGradientBoostingRegressor, IdentityTransformer, Imputer, IncrementalPCA, Initializer, IsolationForest, IsotonicRegression, KBinsDiscretizer, KMeans, KNeighborsClassifier, KNeighborsRegressor, LabelBinarizer, LabelEncoder, LabelEncoderClassifier, LagTransformer, LibSVMClassifier, LibSVMRegressor, LinearClassifier, LinearDiscriminantAnalysis, LinearRegressor, LinearSVC, Link, LogisticRegression, LookupTransformer, MatchesTransformer, MaxAbsScaler, Memorizer, MemoryManager, MiniBatchKMeans, MinMaxScaler, MissingIndicator, MLPClassifier, MLPRegressor, MLPTransformer, MultiAlias, MultiCastTransformer, MultiDomain, MultiLookupTransformer, MultinomialNB, MultiOneHotEncoder, MultiOutputClassifier, MultiOutputRegressor, NearestCentroid, NearestNeighbors, NumberFormatter, OneClassSVM, OneHotEncoder, OneVsRestClassifier, OrdinalDomain, OrdinalEncoder, PassThrough, PCA, PMMLLabelBinarizer, PMMLLabelEncoder, PMMLPipeline, PolynomialFeatures, PowerFunctionTransformer, PowerTransformer, Recaller, RegExTransformer, Regressor, RegressorChain, ReplaceTransformer, Reshaper, RidgeClassifier, RobustScaler, RollingAggregateTransformer, RuleSetClassifier, Scaler, SecondsSinceMidnightTransformer, SecondsSinceYearTransformer, SelectFirstClassifier, SelectFirstRegressor, SelectFirstTransformer, SelectFromModel, SelectKBest, Selector, SelectorProxy, SelectUnique, SeriesConstructor, SGDClassifier, SGDOneClassSVM, SigmoidCalibration, SimpleImputer, SkLearnClassifier, SkLearnClusterer, SkLearnPipeline, SkLearnRegressor, SkLearnSelector, SkLearnTransformer, Slicer, SplineTransformer, StackingClassifier, StackingRegressor, StandardScaler, Step, StringLengthTransformer, StringNormalizer, StringTransformer, SubstringTransformer, TargetEncoder, TemporalDomain, TfidfVectorizer, TransformedTargetRegressor, Transformer, TransformerWrapper, TreeClassifier, TreeRegressor, TruncatedSVD, TunedThresholdClassifierCV, TweedieRegressor, TypeTransformer, VotingClassifier, VotingRegressor, WordCountTransformer

public interface HasType

Method Summary

Modifier and Type	Method	Description
org.dmg.pmml.DataType	getDataType()
org.dmg.pmml.OpType	getOpType()

Method Detail

getOpType

org.dmg.pmml.OpType getOpType()

getDataType

org.dmg.pmml.DataType getDataType()