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https://issues.apache.org/jira/browse/SPARK-28159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-28159:
---------------------------------
Description:
It is a long time since ML was released.
However, there are still many TODOs (like in
[ChiSqSelector.scala|https://github.com/apache/spark/pull/24963/files#diff-9b0bc8a01b34c38958ce45c14f9c5da5]
{// TODO: Make the transformer natively in ml framework to avoid extra
conversion.}) on making transform natively in ml framework.
I try to make ml algs no longer need to convert ml-vector to mllib-vector in
transforms.
Including:
LDA/ChiSqSelector/ElementwiseProduct/HashingTF/IDF/Normalizer/PCA/StandardScaler.
was:
It is a long time since ML was released.
However, there are still many TODOs on making transform natively in ml
framework.
> Make the transform natively in ml framework to avoid extra conversion
> ---------------------------------------------------------------------
>
> Key: SPARK-28159
> URL: https://issues.apache.org/jira/browse/SPARK-28159
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 3.0.0
> Reporter: zhengruifeng
> Priority: Major
>
> It is a long time since ML was released.
> However, there are still many TODOs (like in
> [ChiSqSelector.scala|https://github.com/apache/spark/pull/24963/files#diff-9b0bc8a01b34c38958ce45c14f9c5da5]
> {// TODO: Make the transformer natively in ml framework to avoid extra
> conversion.}) on making transform natively in ml framework.
>
> I try to make ml algs no longer need to convert ml-vector to mllib-vector in
> transforms.
> Including:
> LDA/ChiSqSelector/ElementwiseProduct/HashingTF/IDF/Normalizer/PCA/StandardScaler.
>
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