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PyPREP bad channel detection #13
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| # run the ransac algo | ||
| pyprep_by_ransac: bool = False | ||
| # params for ransac, defaults to empty dict, i.e. pyprep defaults | ||
| pyprep_by_ransac_params: dict = dict() |
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Ultimately we should have a useful default configuration. maybe the one defined in the original github-issue on mne-bids-pipeline is reasonable?
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he seems to just use the defaults?
mne-tools#835
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that's too bad then, if it fails misserably for us :(
We have to find our own defaults then.
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is there a report already on which function found which channel as bad? |
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please note that we (finally) created a new fork, which we will try to maintain in parallel to the official mne-bids-pipeline https://github.com/s-ccs/mne-bids-eyetracking-pipeline/ We can finish the PR here, and then merge it via |
This adds PyPREP bad channel detection functionality to the first data quality step in the mne-bids-pipeline, just after MEG maxfilter based detection