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https://issues.apache.org/jira/browse/SPARK-10592?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14966731#comment-14966731
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Kai Jiang commented on SPARK-10592:
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Hi [~mengxr],
I am interested in this issue. However, I am not sure I am on the right way. I
would appreciate if you could take a look at my first step toward this issue.
([comparison|https://github.com/apache/spark/compare/master...vectorijk:spark-10592?expand=1])
If this way was right, I will continue on
spark.ml.regression.LinearRegression.scala If not, do you have any suggestion?
> deprecate weights and use coefficients instead in ML models
> -----------------------------------------------------------
>
> Key: SPARK-10592
> URL: https://issues.apache.org/jira/browse/SPARK-10592
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Affects Versions: 1.6.0
> Reporter: Xiangrui Meng
> Priority: Critical
>
> The name `weights` becomes confusing as we are supporting weighted instanced.
> As discussed in https://github.com/apache/spark/pull/7884, we want to
> deprecate `weights` and use `coefficients` instead:
> * Deprecate but do not remove `weights`.
> * Only make changes under `spark.ml`.
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