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Posted to issues@spark.apache.org by "zhengruifeng (JIRA)" <ji...@apache.org> on 2017/01/05 11:36:58 UTC

[jira] [Updated] (SPARK-19078) hashingTF,ChiSqSelector,IDF,StandardScaler,PCA transform avoid extra vector conversion

     [ https://issues.apache.org/jira/browse/SPARK-19078?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

zhengruifeng updated SPARK-19078:
---------------------------------
    Summary: hashingTF,ChiSqSelector,IDF,StandardScaler,PCA transform avoid extra vector conversion  (was: ML.transform avoid extra vector conversion)

> hashingTF,ChiSqSelector,IDF,StandardScaler,PCA transform avoid extra vector conversion
> --------------------------------------------------------------------------------------
>
>                 Key: SPARK-19078
>                 URL: https://issues.apache.org/jira/browse/SPARK-19078
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: zhengruifeng
>            Priority: Trivial
>
> There some ML.algs (hashingTF,ChiSqSelector,IDF,StandardScaler,PCA,LDA) that use oldModel in MLlib in {{transform}} method, this will cause extra conversion of vectors and matrices.
> This pr modify transform to direct use ml.linalg in {{hashingTF,ChiSqSelector,IDF,StandardScaler,PCA}}.
> I do not touch LDA because it is more complicated than others.



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