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[R-package] Promote objective and init_score to top-level arguments in lightgbm() #4976

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merged 12 commits into from
Feb 23, 2022

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david-cortes
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ref #4968

This PR promotes objective and init_score to top-level parameters in lightgbm(). This is for 3 reasons:

  • objective is probably one of the most common parameters to want to change. It's also accepted as a top-level parameter in the lgb.train interface and in the scikit-learn interface.
  • Having objective as a top-level parameter will allow an option "auto" in the future (as part of [R-package] User-friendly redesign for lightgbm() #4968) to adjust it automatically for binary and multi-class classification depending on the input.
  • Having init_score as a top-level parameter will allow to take it as a column from the input data in the future (as part of [R-package] User-friendly redesign for lightgbm() #4968), even if it right now looks out of place.

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Thanks for this. I support adding init_score and objective as keyword arguments in lightgbm(). Please see the requested changes.

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Updated.

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Thanks very much for the tests! Please see my most recent requested changes.

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Thanks very much! I think this is almost ready to merge, just a few more recommended changes.

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Updated.

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thanks! Just one more suggestion and this can be merged.

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@jameslamb jameslamb self-requested a review February 23, 2022 03:46
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I just updated this with the latest changes from master, now that #5021 has been merged.

I'll merge this once it builds. Thanks very much for the contribution!

@jameslamb jameslamb mentioned this pull request Oct 7, 2022
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This pull request has been automatically locked since there has not been any recent activity since it was closed. To start a new related discussion, open a new issue at https://github.com/microsoft/LightGBM/issues including a reference to this.

@github-actions github-actions bot locked as resolved and limited conversation to collaborators Aug 23, 2023
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