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[USERGUIDE] LLM Hyperparameter Optimization API #3952

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ref: #3951

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[APPROVALNOTIFIER] This PR is NOT APPROVED

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Hi @mahdikhashan. Thanks for your PR.

I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work. Regular contributors should join the org to skip this step.

Once the patch is verified, the new status will be reflected by the ok-to-test label.

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mahdikhashan commented Jan 7, 2025

hi @andreyvelich , shall i keep it under user-guides/hp-tuning/?

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Sure, I think we can create a new page for this feature.
FYI, please follow the contribution guide to sign the commits: https://www.kubeflow.org/docs/about/contributing/#getting-started
cc @helenxie-bit

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Part of: kubeflow/katib#2339

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/ok-to-test

Signed-off-by: mahdikhashan <[email protected]>
Signed-off-by: mahdikhashan <[email protected]>
Signed-off-by: mahdikhashan <[email protected]>
Signed-off-by: mahdikhashan <[email protected]>
Signed-off-by: mahdikhashan <[email protected]>
Signed-off-by: mahdikhashan <[email protected]>
Signed-off-by: mahdikhashan <[email protected]>
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Thank you for incorporating my suggestions! Here are some further comments.

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thanks for your comments @helenxie-bit , i resolved all of them - please let me know of your current opinion.

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Basically LGTM! I left a few minor comments for your consideration.

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@helenxie-bit thanks for your patience and help with this issue. i addressed recent comments.

Signed-off-by: mahdikhashan <[email protected]>
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Thanks for the great contribution!

/lgtm

/cc @kubeflow/wg-automl-leads @andreyvelich @Arhell

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@helenxie-bit: GitHub didn't allow me to request PR reviews from the following users: kubeflow/wg-automl-leads.

Note that only kubeflow members and repo collaborators can review this PR, and authors cannot review their own PRs.

In response to this:

Thanks for the great contribution!

/lgtm

/cc @kubeflow/wg-automl-leads @andreyvelich @Arhell

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository.

@google-oss-prow google-oss-prow bot added the lgtm label Jan 18, 2025
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@varodrig @pdarshane @rimolive @hbelmiro Please help with reviewing this documentation page for LLM HP Tuning API.

You need to install the following Katib components to run code in this guide:

- Katib control plane – [install](/docs/components/katib/installation/#installing-control-plane)
- Training Operator control plane – [install](/docs/components/training/installation/#installing-the-control-plane)
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According to discussion here, can you move "Training Operator control plane" in front of "Katib control plane"?

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And it would be better to add a small note about it in this section :) For example:

Note: Please ensure that the Training Operator control plane is installed before the Katib control plane. This ensures the correct namespace labels are applied and enables the PyTorchJob CRD for use in Katib.

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