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https://issues.apache.org/jira/browse/SPARK-26829?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16767439#comment-16767439
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Santokh Singh commented on SPARK-26829:
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Yes, you are right, there are workarounds that I had to do to preserve the
schema, but such an option would have really made it very easy and won't need
any of work to go to original schema.
> In place standard scaler so the column remains same after transformation
> ------------------------------------------------------------------------
>
> Key: SPARK-26829
> URL: https://issues.apache.org/jira/browse/SPARK-26829
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 2.3.2
> Reporter: Santokh Singh
> Priority: Major
>
> Standard scaler and some similar transformations takes input column name and
> produce a new column, either accepting output column or generating new one
> with some random name after performing transformation.
> "inplace" flag on true does not generate new column in output in dataframe
> after transformation; preserves schema of df.
> "inplace" flag on false works the way its currently working.
>
>
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