PegasosQSVC.fit

PegasosQSVC.fit(X, y, sample_weight=None)

Fit the model according to the given training data.

Parameters

• X (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 (n_samples, n_samples).

• y (ndarray) -- shape (n_samples), train labels . Must not contain more than two unique labels.

• sample_weight (Optional[ndarray]) -- this parameter is not supported, passing a value raises an error.

Return type

PegasosQSVC

Returns

self, Fitted estimator.

Raises

• ValueError --

  • 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.

• NotImplementedError --

  • when a sample_weight which is not None is passed.