Disable filtering in spike detection?

[malfatti]

Hello!

Is there a way to disable filtering of data during spike detection? I have data already filtered, so filtering it again for spike detection makes no sense :)

[malfatti]

Even if I set the filter from 1 to 15000 in the parameters, the resulting spike waveform is still altered from the ones I had before clusterizing. Is there really no way to disable filtering?

If not, would changing these lines in file klusta/traces/spikedetekt.py:

# Apply the filter.
data_f = self.apply_filter(chunk_data)

to

# Apply the filter.
if self._kwargs['disable_filter']: data_f = chunk_data
else: data_f = self.apply_filter(chunk_data)

would disable the filter? Is there any other place in the code that filters data?

Cheers :)