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https://issues.apache.org/jira/browse/SPARK-19797?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-19797.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Issue resolved by pull request 17137
[https://github.com/apache/spark/pull/17137]
> ML pipelines document error
> ---------------------------
>
> Key: SPARK-19797
> URL: https://issues.apache.org/jira/browse/SPARK-19797
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 2.1.0
> Reporter: Zhe Sun
> Priority: Trivial
> Labels: documentation
> Fix For: 2.1.1, 2.2.0
>
> Original Estimate: 5m
> Remaining Estimate: 5m
>
> Description about pipeline in this paragraph is incorrect
> https://spark.apache.org/docs/latest/ml-pipeline.html#how-it-works, which
> misleads the user
> bq. If the Pipeline had more *stages*, it would call the
> LogisticRegressionModel’s transform() method on the DataFrame before passing
> the DataFrame to the next stage.
> The description is not accurate, because *Transformer* could also be a stage.
> But only another Estimator will invoke an extra transform call.
> So, the description should be corrected as: *If the Pipeline had more
> _Estimators_*.
> The code to prove it is here
> https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/Pipeline.scala#L160
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