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Posted to issues@spark.apache.org by "zhengruifeng (Jira)" <ji...@apache.org> on 2019/11/15 10:55:00 UTC

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

zhengruifeng created SPARK-29914:
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             Summary: 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


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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