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docs: remove broken reference to train_your_own_metric.md - #2489

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anistark merged 1 commit into
vibrantlabsai:mainfrom
sanjeed5:docs/remove-broken-train-metric-reference
Dec 10, 2025
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docs: remove broken reference to train_your_own_metric.md#2489
anistark merged 1 commit into
vibrantlabsai:mainfrom
sanjeed5:docs/remove-broken-train-metric-reference

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@sanjeed5

@sanjeed5 sanjeed5 commented Dec 9, 2025

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Issue Link / Problem Description

Fixes broken link in documentation navigation. The file howtos/customizations/metrics/train_your_own_metric.md was referenced in mkdocs.yml and the customizations index but never existed.

Changes Made

  • Removed broken reference from mkdocs.yml line 101
  • Removed broken reference from docs/howtos/customizations/index.md line 16

Notes

The topic (aligning LLM metrics with human judgment) is already covered by the existing guide howtos/applications/align-llm-as-judge.md which uses the modern experiment() and llm_factory patterns.

The legacy metric.train() / GeneticOptimizer approach is also documented in howtos/applications/vertexai_alignment.md for VertexAI users.

Testing

  • Manual testing: Verified documentation builds without broken link warnings

The file `train_your_own_metric.md` was referenced in mkdocs.yml and
the customizations index but never existed. The topic is already covered
by `howtos/applications/align-llm-as-judge.md` which uses the modern
experiment() and llm_factory patterns.
@anistark
anistark merged commit 9e5a791 into vibrantlabsai:main Dec 10, 2025
4 checks passed
cgaswin pushed a commit to cgaswin/ragas that referenced this pull request Dec 17, 2025
…sai#2489)

## Issue Link / Problem Description

Fixes broken link in documentation navigation. The file
`howtos/customizations/metrics/train_your_own_metric.md` was referenced
in `mkdocs.yml` and the customizations index but never existed.

## Changes Made

- Removed broken reference from `mkdocs.yml` line 101
- Removed broken reference from `docs/howtos/customizations/index.md`
line 16

## Notes

The topic (aligning LLM metrics with human judgment) is already covered
by the existing guide `howtos/applications/align-llm-as-judge.md` which
uses the modern `experiment()` and `llm_factory` patterns.

The legacy `metric.train()` / `GeneticOptimizer` approach is also
documented in `howtos/applications/vertexai_alignment.md` for VertexAI
users.

## Testing

- [ ] Manual testing: Verified documentation builds without broken link
warnings
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2 participants