All Known Implementing Classes:

AdaBoostRegressor, BaggingClassifier, BaggingRegressor, CalibratedClassifier, CalibratedClassifierCV, Calibrator, CHAIDClassifier, CHAIDRegressor, Classifier, ClassifierChain, Clusterer, CompositeClassifier, CompositeClusterer, CompositeRegressor, 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, MultiOutputClassifier, MultiOutputRegressor, NearestCentroid, NearestNeighbors, OneClassSVM, OneVsRestClassifier, Regressor, RegressorChain, RidgeClassifier, RuleSetClassifier, SelectFirstClassifier, SelectFirstRegressor, SGDClassifier, SGDOneClassSVM, SigmoidCalibration, SkLearnClassifier, SkLearnClusterer, SkLearnRegressor, StackingClassifier, StackingRegressor, TransformedTargetRegressor, TreeClassifier, TreeRegressor, TunedThresholdClassifierCV, VotingClassifier, VotingRegressor
```
public interface HasNumberOfOutputs
```

- Field Summary
  
  Fields
  Modifier and Type Field Description
  
  static int UNKNOWN
- Method Summary
  
  All Methods Instance Methods Abstract Methods
  Modifier and Type Method Description
  
  int getNumberOfOutputs()

- Field Detail
  - UNKNOWN
```
static final int UNKNOWN
```
    See Also:
    
    Constant Field Values
- Method Detail
  - getNumberOfOutputs
```
int getNumberOfOutputs()
```

Interface HasNumberOfOutputs

Field Summary

Method Summary

Field Detail

UNKNOWN

Method Detail

getNumberOfOutputs