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FIX switch to binary_crossentropy if a binary problem #14869

merged 4 commits into from Sep 20, 2019


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@adrinjalali adrinjalali commented Sep 2, 2019

Fixes #14858.

Raise a warning and switch to binary_crossentropy if it's a binary classification problem and categorical_crossentropy is given.

@adrinjalali adrinjalali requested a review from NicolasHug Sep 2, 2019
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@NicolasHug NicolasHug commented Sep 2, 2019

Thanks for the PR.

If the user specifies categorical_crossentropy on a binary classif problem, I think we should either:

  1. raise an error
  2. still use categorical_crossentropy but raise a warning "you're building 2 trees instead of 1 so just use 'binary_crossentropy' or even better, use 'auto' ".

I'm in favor of just raising an error (because we have the 'auto' option that just works). But I'm OK with option 2 as well. The current proposal is re-implementing the 'auto' logic but with a warning so I don't think we want that.

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@adrinjalali adrinjalali commented Sep 8, 2019

@ogrisel maybe you could have a look?

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@adrinjalali adrinjalali commented Sep 19, 2019

ping @ogrisel or @glemaitre should be an easy one :)

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@glemaitre glemaitre left a comment

Apart of the comment raised by @thomasjpfan LGTM

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@glemaitre glemaitre commented Sep 20, 2019

I pushed the fix and will merge when it is green

@glemaitre glemaitre added this to TO BE MERGED in Guillaume's pet Sep 20, 2019
@glemaitre glemaitre merged commit 38af35d into scikit-learn:master Sep 20, 2019
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@glemaitre glemaitre moved this from TO BE MERGED to MERGED in Guillaume's pet Sep 20, 2019
@adrinjalali adrinjalali deleted the hgbt/crossentropy branch Sep 20, 2019
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4 participants