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start: reword dvclive plots config #4880

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Sep 25, 2023
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start: reword dvclive plots config #4880

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7 changes: 3 additions & 4 deletions content/docs/start/data-management/metrics-parameters-plots.md
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Expand Up @@ -61,10 +61,9 @@ could still be tracked by DVC.

[`evaluate.py`] uses [DVCLive] to write scalar metrics values (e.g. `AUC`) and
plots data (e.g. `ROC curve`) to files in the `eval` directory that DVC can
parse to compare and visualize across iterations. DVCLive can configure metrics
and plots for you if you call `Live.make_dvcyaml()`, or you can customize
metrics and plots by [configuring them][plots files] in the same `dvc.yaml` file
where your stage definitions are saved.
parse to compare and visualize across iterations. By default, DVCLive will
configure metrics and plots for you in `dvc.yaml`, but in this example we
customize them by editing `dvc.yaml` to combine train and test plots.

<details>

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