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https://issues.apache.org/jira/browse/SPARK-3195?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-3195:
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Priority: Minor (was: Major)
Target Version/s: (was: 1.3.0)
Fix Version/s: (was: 1.3.0)
Labels: (was: test)
This sounds like a question more than a JIRA, and questions are better
discussed on the mailing list. Can you clarify what you want, and propose a PR,
or else close?
> Can you add some statistics to do logistic regression better in mllib?
> ----------------------------------------------------------------------
>
> Key: SPARK-3195
> URL: https://issues.apache.org/jira/browse/SPARK-3195
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: miumiu
> Priority: Minor
> Original Estimate: 1m
> Remaining Estimate: 1m
>
> HI，
> In logistic regression model practice，Test of regression coefficient and
> whole model fitting are very important.Can you add some effective support on
> these Aspects?
> Such as,The likelihood ratio test or the wald test is offer used for test
> of coefficient,and the Hosmer-Lemeshow test is used for evaluate the model
> fitting.
> Learning that we have ROC and Precision-Recall already,but can you also
> provide KS statistic,which is mostly used in Model evaluation aspect?
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