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Posted to issues@spark.apache.org by "Zhe Sun (JIRA)" <ji...@apache.org> on 2017/03/02 12:16:45 UTC

[jira] [Created] (SPARK-19797) ML pipelines document error

Zhe Sun created SPARK-19797:
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             Summary: 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


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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