- PegasosQSVC.fit(X, y, sample_weight=None)¶
Fit the model according to the given training data.
ndarray) – Train features. For a callable kernel (an instance of
QuantumKernel) the shape should be
(n_samples, n_features), for a precomputed kernel the shape should be
ndarray) – shape (n_samples), train labels . Must not contain more than two unique labels.
ndarray]) – this parameter is not supported, passing a value raises an error.
- Tipo di ritorno
self, Fitted estimator.
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.