PegasosQSVC.fit¶
- PegasosQSVC.fit(X, y, sample_weight=None)[sorgente]¶
Fit the model according to the given training data.
- Parametri:
X (np.ndarray) – Train features. For a callable kernel (an instance of
BaseKernel) the shape should be(n_samples, n_features), for a precomputed kernel the shape should be(n_samples, n_samples).y (np.ndarray) – shape (n_samples), train labels . Must not contain more than two unique labels.
sample_weight (np.ndarray | None) – this parameter is not supported, passing a value raises an error.
- Tipo di ritorno:
- Ritorna:
self, Fitted estimator.- Solleva:
X and/or y have the wrong shape. - X and y have incompatible dimensions. - y includes more than two unique labels. - Pre-computed kernel matrix has the wrong shape and/or dimension.
when a sample_weight which is not None is passed.