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Posted to issues@spark.apache.org by "zhengruifeng (Jira)" <ji...@apache.org> on 2019/12/04 08:41:00 UTC

[jira] [Resolved] (SPARK-29914) ML models append metadata in `transform`/`transformSchema`

     [ https://issues.apache.org/jira/browse/SPARK-29914?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

zhengruifeng resolved SPARK-29914.
----------------------------------
    Fix Version/s: 3.1.0
       Resolution: Fixed

Issue resolved by pull request 26547
[https://github.com/apache/spark/pull/26547]

> ML models append metadata in `transform`/`transformSchema`
> ----------------------------------------------------------
>
>                 Key: SPARK-29914
>                 URL: https://issues.apache.org/jira/browse/SPARK-29914
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 3.0.0
>            Reporter: zhengruifeng
>            Assignee: zhengruifeng
>            Priority: Minor
>             Fix For: 3.1.0
>
>
> There are many impls (like `Binarizer`/`Bucketizer`/`VectorAssembler`/`OneHotEncoder`/`FeatureHasher`/`HashingTF`/`VectorSlicer`/...) in `.ml` that append appropriate metadata in `transform`/`transformSchema` method.
> However there are also many impls return no metadata in transformation, even some metadata like `vector.size`/`numAttrs`/`attrs` can be ealily inferred.



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