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Refactoring feature selection #19

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merged 3 commits into from
Nov 18, 2020
Merged

Commits on Nov 13, 2020

  1. NMI optimisations and tweaks

    - Store target and cross NMI inside MODData by default
    - Loop unique over pairs rather than rows and columns
    - Fix edgecase when providing both df_featurized and structures
    - Use same random seed when computing NMI for all features
    - For constant features, explicitly set diagonal to NaN to avoid
      overflow elsewhere
    ml-evs committed Nov 13, 2020
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  2. Configuration menu
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  3. Added pytest marker for slow tests

    Tweaked setup.py
    ml-evs committed Nov 13, 2020
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