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Reassess usage of dclab.dfn.scalar_feature_names / make sure the user can see ml_score features when exporting statistics #108

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paulmueller opened this issue Nov 26, 2021 · 1 comment
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@paulmueller
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...because ideally, we would also cover machine-learning features that are not made available via MachineLearningFeature. E.g. machine-learning features may be inherent in .rtdc datasets.

@paulmueller paulmueller added the bug Something isn't working label Nov 26, 2021
@paulmueller paulmueller changed the title Overthink usage of dclab.dfn.scalar_feature_names Reassess usage of dclab.dfn.scalar_feature_names Nov 26, 2021
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I took a look and refactored some of it in 5513266

The only place where ml_score features are not included is comp_stats.py in the case of computing statistics for data in external directories. Here, the entire directory tree would have to be searched for the machine learning features. We could include a button for this to include them.

@paulmueller paulmueller changed the title Reassess usage of dclab.dfn.scalar_feature_names Reassess usage of dclab.dfn.scalar_feature_names / make sure the user can see ml_score features when exporting statistics Apr 2, 2024
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