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Cross validation guide #28

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Priyansi opened this issue Sep 9, 2021 · 5 comments · Fixed by #43
Closed

Cross validation guide #28

Priyansi opened this issue Sep 9, 2021 · 5 comments · Fixed by #43
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@LiviaCavalcanti
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how-to-guide Improvements or additions in how-to guides

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@Priyansi
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Priyansi commented Sep 9, 2021 •
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Ideas on how to do cross-validation: pytorch/ignite#1384
@Priyansi Priyansi changed the title Advanced tutorial: Cross validation and Hyperparameter tuning Advanced tutorial: Cross validation Sep 9, 2021
@Priyansi Priyansi added the how-to-guide Improvements or additions in how-to guides label Sep 9, 2021
@Priyansi Priyansi changed the title Advanced tutorial: Cross validation Cross validation guide Sep 9, 2021
@Priyansi Priyansi mentioned this issue Sep 9, 2021
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@LiviaCavalcanti
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Hi! Is it ok to use scikit-learn’s k-fold functionality to split the data?

@vfdev-5
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vfdev-5 commented Sep 21, 2021

@LiviaCavalcanti yes, sure!

@Priyansi
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Hey @LiviaCavalcanti , I started working on this notebook last week. It's a basic code sample. It still needs some explanation and a bit of restructuring. Do you want to work on this notebook and send a PR for this?

For ideas on how to add explanation: refer to https://pytorch-ignite.ai/how-to-guides/

Please feel free to ask any more questions!

@LiviaCavalcanti
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Wow you've done all the hard work. I would be glad to work on the explanation! I will send the PR with it.

@Priyansi
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Thank you @LiviaCavalcanti ! BTW, the code is just an example. If you feel like it can be simplified, feel free to make changes there too :)

@LiviaCavalcanti LiviaCavalcanti mentioned this issue Oct 1, 2021
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Added how-to guide: k-fold cross-validation LiviaCavalcanti/examples
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@vfdev-5 @Priyansi @LiviaCavalcanti