fix: Add fit_full_data param to skip validation for full-dataset training.

[murunlin]

Why are these changes needed?

These changes address the issue that fitting the model using all available data (#1404).
This modification set the retrain_full parameter to True, which could handle the split_ratio=0 case in resampling stage, enabling to retrain model on the full dataset.

Related issue number

Related to #1404

Checks

• I've used pre-commit to lint the changes in this PR (note the same in integrated in our CI checks).
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• I've added tests (if relevant) corresponding to the changes introduced in this PR.
• I've made sure all auto checks have passed.

[thinkall]

Hi @murunlin , thank you very much for the PR. Could you please elaborate the description/title of the PR? You can refer to #1405 , #1385 as examples.

[murunlin]

Hi, Sorry for lack of clarity. The title of PR:   fix:mrl0409 #1421 Thank you for the feedback! Best regards, Mu Runlin 穆润琳 北京邮电大学/研博生/人工智能学院 北京       ------------------ Original ------------------ From: ***@***.***>; Date:  Wed, Apr 9, 2025 05:46 PM To: ***@***.***>; Cc: ***@***.***>; ***@***.***>; Subject:  Re: [microsoft/FLAML] fix:mrl0409 (PR #1421)   @thinkall commented on this pull request. Hi @murunlin , thank you very much for the PR. Could you please elaborate the description/title of the PR? You can refer to #1405 , #1385 as examples. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: ***@***.***>

[murunlin]

Hi @murunlin , thank you very much for the PR. Could you please elaborate the description/title of the PR? You can refer to #1405 , #1385 as examples.

Thank you for the feedback! I've updated the PR description as the guidance.

[murunlin]

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[murunlin]

@microsoft-github-policy-service agree

[thinkall]

Hi @murunlin , thank you very much for the PR. Could you please elaborate the description/title of the PR? You can refer to #1405 , #1385 as examples.

Thank you for the feedback! I've updated the PR description as the guidance.

@murunlin, I see nothing in the description.

[murunlin]

@thinkall Hi Li, thanks a lot for your guidance! I have updated the description and checked other parts. Please let me know if there is anything missed.

[thinkall]

@thinkall Hi Li, thanks a lot for your guidance! I have updated the description and checked other parts. Please let me know if there is anything missed.

Thanks for the update, @murunlin . Did you notice my comment in #1404 ? I think we already supported train with full data.

[murunlin]

@thinkall Hi Li, thanks a lot for your guidance! I have updated the description and checked other parts. Please let me know if there is anything missed.

Thanks for the update, @murunlin . Did you notice my comment in #1404 ? I think we already supported train with full data.

@thinkall I had some misunderstanding that the dataset split should be explicitly implemented. —— I'll promptly look into another issue and submit a new PR ASAP. Appreciate your time!