training_server: Fix UnboundLocalError in TTFT model training

[RishabhSaini]

Error: UnboundLocalError: cannot access local variable 'ttft_feature_cols_tree' where it is not associated with a value at training_server.py:640

Cause: Variables defined inside if len(df_ttft) >= MIN_SAMPLES_FOR_RETRAIN block but referenced outside it due to incorrect indentation.

Fix: Indented TTFT training code block to match TPOT section structure.

[linux-foundation-easycla]

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[k8s-ci-robot]

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[k8s-ci-robot]

Hi @RishabhSaini. Thanks for your PR.

I'm waiting for a github.com 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.

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[kfswain]

CC: @kaushikmitr @BenjaminBraunDev

[shmuelk]

/ok-to-test

[shmuelk]

/lgtm