Method transform

sklearn/preprocessing/_data.py:2552–2587

Center kernel matrix. Parameters ---------- K : ndarray of shape (n_samples1, n_samples2) Kernel matrix. copy : bool, default=True Set to False to perform inplace computation. Returns ------- K_new : ndarray of shape

(self, K, copy=True)

        return self

    def transform(self, K, copy=True):
        """Center kernel matrix.

        Parameters
        ----------
        K : ndarray of shape (n_samples1, n_samples2)
            Kernel matrix.

        copy : bool, default=True
            Set to False to perform inplace computation.

        Returns
        -------
        K_new : ndarray of shape (n_samples1, n_samples2)
            Returns the instance itself.
        """
        check_is_fitted(self)

        xp, _ = get_namespace(K)

        K = validate_data(
            self,
            K,
            copy=copy,
            force_writeable=True,
            dtype=_array_api.supported_float_dtypes(xp, device=device(K)),
            reset=False,
        )

        K_pred_cols = (xp.sum(K, axis=1) / self.K_fit_rows_.shape[0])[:, None]

        K -= self.K_fit_rows_
        K -= K_pred_cols
        K += self.K_fit_all_

        return K

    @property
    def _n_features_out(self):