'Invert standardization of data across channels.
Parameters
epochs_data : array, shape (n_epochs, n_channels, n_times)
The data.
Returns
X : array, shape (n_epochs, n_channels, n_times)
The data concatenated over channels.
Notes
This function makes a copy of the data before the operations and the
memory usage may be large with big data.'

def inverse_transform(self, epochs_data):

    return _sklearn_reshape_apply(self._scaler.inverse_transform, True, epochs_data)
