Voltage feature set order #38
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rai-pranav
reviewed
Oct 10, 2025
| if strict: | ||
| df_features = pd.DataFrame(ephysatlas.features.ModelRawFeatures(df_features)) | ||
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| ialpha_bad = np.logical_or( |
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Should this filtering be done here?
Or should we do it before hand when the feature for individual snippet is calculated. And replace them with nans, and then total variation filter will take care of replacing them with actual values. I think we will get different results from these approaches.
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features.voltage_features_set returns features sorted according to the original pydantic model definition