Package sklearn

Interface HasNumberOfOutputs

All Known Implementing Classes:

AdaBoostRegressor, BaggingClassifier, BaggingRegressor, BernoulliNB, CalibratedClassifier, CalibratedClassifierCV, Calibrator, CategoricalNB, CHAIDClassifier, CHAIDRegressor, Classifier, ClassifierChain, Clusterer, CompositeClassifier, CompositeClusterer, CompositeRegressor, DiscreteNB, DummyClassifier, DummyRegressor, EnsembleClassifier, EnsembleRegressor, Estimator, EstimatorChain, EstimatorProxy, ExpressionClassifier, ExpressionRegressor, FixedThresholdClassifier, ForestClassifier, ForestRegressor, GaussianNB, GBDTLMRegressor, GBDTLRClassifier, GeneralizedLinearRegressor, GradientBoostingClassifier, GradientBoostingRegressor, HistGradientBoostingClassifier, HistGradientBoostingRegressor, IsolationForest, IsotonicRegression, KMeans, KNeighborsClassifier, KNeighborsRegressor, LabelEncoderClassifier, LibSVMClassifier, LibSVMRegressor, LinearClassifier, LinearDiscriminantAnalysis, LinearRegressor, LinearSVC, Link, LogisticRegression, MiniBatchKMeans, MLPClassifier, MLPRegressor, MultinomialNB, MultiOutputClassifier, MultiOutputRegressor, NearestCentroid, NearestNeighbors, OneClassSVM, OneVsRestClassifier, Regressor, RegressorChain, RidgeClassifier, RuleSetClassifier, SelectFirstClassifier, SelectFirstRegressor, SGDClassifier, SGDOneClassSVM, SigmoidCalibration, SkLearnClassifier, SkLearnClusterer, SkLearnRegressor, StackingClassifier, StackingRegressor, TransformedTargetRegressor, TreeClassifier, TreeRegressor, TunedThresholdClassifierCV, TweedieRegressor, VotingClassifier, VotingRegressor

public interface HasNumberOfOutputs

Field Summary

Fields

Modifier and Type	Field	Description
static int	UNKNOWN

Method Summary

Modifier and Type	Method	Description
int	getNumberOfOutputs()

Field Detail

UNKNOWN

static final int UNKNOWN

See Also:

Constant Field Values

Method Detail

getNumberOfOutputs

int getNumberOfOutputs()