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From "Max Moroz (JIRA)" <>
Subject [jira] [Commented] (SPARK-16319) Non-linear (DAG) pipelines need better explanation
Date Mon, 18 Jul 2016 08:16:20 GMT


Max Moroz commented on SPARK-16319:

I meant "input/output columns are ignored" by the pipeline, which is the topic of this discussion.
Of course, they are not ignored by the individual transformers.

I don't know Scala, but I checked as carefully as I could, and found no evidence that the
stages of the pipeline can be executed in parallel. Do you mind pointing me to the relevant

Again, apologies if I missed anything.

> Non-linear (DAG) pipelines need better explanation
> --------------------------------------------------
>                 Key: SPARK-16319
>                 URL:
>             Project: Spark
>          Issue Type: Documentation
>          Components: ML
>    Affects Versions: 2.0.0
>            Reporter: Max Moroz
>            Priority: Minor
> There's a [paragraph|]
about non-linear pipeline in the ML docs, but it's not clear how DAG pipeline differs from
a linear pipeline, and in fact, it seems that a "DAG Pipeline" results in the behavior identical
to that of a regular linear pipeline (the stages are simply applied in the order provided
when the pipeline is created). In addition, no checks of input and output columns seem to
occur when the or pipeline.transform() is called.
> It would be better to clarify in the docs and/or remove that paragraph.
> I'd be happy to write it up, but I have no idea what the intention of this concept is
at this point.
> [Additional reference on SO|]

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