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Hi!
I'm want to perform a dipole fit of my simulated (MEG) data, but applying
mne.dipole_fit throws the error "TypeError: '<' not supported between
instances of 'NoneType' and 'int'". Is there any way to circumvent this?
Best,
Karin
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Can you give the full traceback? It's hard to know what the problem is
based on just the last bit.
Eric
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Here it is:
</home/karin/anaconda3/envs/mne/lib/python3.6/site-packages/mne/externals/decorator.py:decorator-gen-298>
in fit_dipole(evoked, cov, bem, trans, min_dist, n_jobs, pos, ori, verbose)
~/anaconda3/envs/mne/lib/python3.6/site-packages/mne/utils/_logging.py in
wrapper(*args, **kwargs)
88 with use_log_level(verbose_level):
89 return function(*args, **kwargs)
---> 90 return function(*args, **kwargs)
91 return FunctionMaker.create(
92 function, 'return decfunc(%(signature)s)',
~/anaconda3/envs/mne/lib/python3.6/site-packages/mne/dipole.py in
fit_dipole(evoked, cov, bem, trans, min_dist, n_jobs, pos, ori, verbose)
1073 raise ValueError('EEG average reference is mandatory for
dipole '
1074 'fitting.')
-> 1075 if min_dist < 0:
1076 raise ValueError('min_dist should be positive. Got %s' %
min_dist)
1077 if ori is not None and pos is None:
TypeError: '<' not supported between instances of 'str' and 'int'
I'm currently using fsaverage as MRI
Thanks
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Did you pass `min_dist=None`? It needs to be a float. The default (5.)
should be reasonable in most cases, though it can be closer to zero if you
want (eventually there might be numerical problems if you set it too close
to zero).
Eric