AnandInguva commented on code in PR #29910:
URL: https://github.com/apache/beam/pull/29910#discussion_r1442111693
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website/www/site/content/en/documentation/ml/preprocess-data.md:
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@@ -197,32 +198,3 @@ Replace the following values:
For more examples, see
[MLTransform for data
processing](/documentation/transforms/python/elementwise/mltransform)
in the [transform catalog](/documentation/transforms/python/overview/).
-
-### ScaleTo01 example {#scaleto01}
-
-This example demonstrates how to use `MLTransform` to normalize your data
-between 0 and 1 by using the minimum and maximum values from your entire
-dataset. `MLTransform` uses the `ScaleTo01` transformation.
-
-Use the following snippet to apply `ScaleTo01` on column `x` of the input
-data.
-
-```
-data_pcoll |
MLTransform(write_artifact_location=<LOCATION>).with_transform(ScaleTo01(columns=['x']))
-```
-
-The `ScaleTo01` transformation produces two artifacts: the `min` and the `max`
-of the entire dataset. For more information, see the
-[Artifacts](#artifacts) section on this page.
-
-## Metrics {#metrics}
Review Comment:
Yes, since we support both RunInference via embeddings and also TFT
transforms, these metrics seems to be out of place right now.
I plan to make a PR with relevant metrics if we think they are useful to the
user.
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