sklearn.multiclass.fit_ecoc¶
- sklearn.multiclass.fit_ecoc(estimator, X, y, code_size=1.5, random_state=None, n_jobs=1)¶
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.