'Estimate epochs sources given the SPoC 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_sources)
If self.transform_into == \'csp_space\' then returns the data in CSP
space and shape is (n_epochs, n_sources, n_times)'

def transform(self, X):

    return super(SPoC, self).transform(X)
