Fix ValueError on HistGradientBoostingRegressor with least_absolute_deviation loss function fit call with sample_weight parameter #19407
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…eviation loss function fit call with sample_weight parameter.
NicolasHug
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Feb 9, 2021
sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py
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…oosting.py Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
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Sorry, I forgot: we would also need an entry in |
I updated docs, but can a fix be a part of |
glemaitre
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Feb 9, 2021
sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py
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You are right. I was about to merge but it makes sense to add the entry in |
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To backport
glemaitre
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Feb 9, 2021
I pushed commit with the change, but I can't see commit in PR |
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Maybe there is some delay bew |
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I closed and reponed hoping that GitHub would synchronize the PR. Magically, it worked so let's wait for the CI :) |
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Thanks @vadim-ushtanit |
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You are welcome! |
glemaitre
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Apr 22, 2021
…entBoosting (scikit-learn#19407) Co-authored-by: Vadim Ushtanit <vadim.ushtanit@gmail.com> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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…entBoosting (#19407) Co-authored-by: Vadim Ushtanit <vadim.ushtanit@gmail.com> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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Reference Issues/PRs
Fixes #19400.