Method transform

mne/decoding/csp.py:280–307

Estimate epochs sources given the CSP filters. Parameters ---------- X : array, shape (n_epochs, n_channels, n_times) The data. Returns ------- X : ndarray If self.transform_into == 'average_power' then returns the power of

(self, X)

        return self

    def transform(self, X):
        """Estimate epochs sources given the CSP filters.

        Parameters
        ----------
        X : array, shape (n_epochs, n_channels, n_times)
            The data.

        Returns
        -------
        X : ndarray
            If self.transform_into == 'average_power' then returns the power of
            CSP features averaged over time and shape (n_epochs, n_components)
            If self.transform_into == 'csp_space' then returns the data in CSP
            space and shape is (n_epochs, n_components, n_times).
        """
        X = self._check_data(X)
        X = super().transform(X)
        # compute features (mean band power)
        if self.transform_into == "average_power":
            X = (X**2).mean(axis=2)
            log = True if self.log is None else self.log
            if log:
                X = np.log(X)
            else:
                X -= self.mean_
                X /= self.std_
        return X

    def inverse_transform(self, X):
        """Project CSP features back to sensor space.