8.18.9. sklearn.multiclass.fit_ecoc¶
- sklearn.multiclass.fit_ecoc(estimator, X, y, code_size=1.5, random_state=None)¶
Fit an error-correcting output-code strategy.
Parameters : estimator : estimator object
An estimator object implementing fit and one of decision_function or predict_proba.
code_size: float, optional :
Percentage of the number of classes to be used to create the code book.
random_state: numpy.RandomState, optional :
The generator used to initialize the codebook. Defaults to numpy.random.
Returns : estimators : list of int(n_classes * code_size) estimators
Estimators used for predictions.
classes : numpy array of shape [n_classes]
Array containing labels.
code_book_: numpy array of shape [n_classes, code_size] :
Binary array containing the code of each class.