Package sklearn
Interface HasFeatureNamesIn
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- All Known Implementing Classes:
AdaBoostRegressor,BaggingClassifier,BaggingRegressor,BaseEncoder,BasePCA,BernoulliNB,Binarizer,CalibratedClassifier,CalibratedClassifierCV,Calibrator,CategoricalNB,ClassifierChain,ColumnTransformer,Composite,CompositeClassifier,CompositeClusterer,CompositeRegressor,CountVectorizer,DiscreteNB,DummyClassifier,DummyRegressor,EnsembleClassifier,EnsembleRegressor,EstimatorProxy,FeatureUnion,FixedThresholdClassifier,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,MultinomialNB,MultiOneHotEncoder,MultiOutputClassifier,MultiOutputRegressor,NearestCentroid,NearestNeighbors,OneClassSVM,OneHotEncoder,OneVsRestClassifier,OrdinalEncoder,PCA,PMMLLabelBinarizer,PMMLLabelEncoder,PMMLPipeline,PolynomialFeatures,PowerTransformer,RegressorChain,RidgeClassifier,RobustScaler,Scaler,SelectFromModel,SelectKBest,SGDClassifier,SGDOneClassSVM,SigmoidCalibration,SimpleImputer,SkLearnClassifier,SkLearnClusterer,SkLearnPipeline,SkLearnRegressor,SkLearnSelector,SkLearnTransformer,SplineTransformer,StackingClassifier,StackingRegressor,StandardScaler,TargetEncoder,TfidfVectorizer,TransformedTargetRegressor,TreeClassifier,TreeRegressor,TruncatedSVD,TunedThresholdClassifierCV,TweedieRegressor,VotingClassifier,VotingRegressor
public interface HasFeatureNamesIn
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description List<String>getFeatureNamesIn()
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