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PegasosQSVC.fit

PegasosQSVC.fit(X, y, sample_weight=None)[source]

Fit the model according to the given training data.

Paramètres
  • 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.

Type renvoyé

PegasosQSVC

Renvoie

self, Fitted estimator.

Lève
  • 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.