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https://issues.apache.org/jira/browse/SPARK-18686?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-18686:
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Description:
Several cleanup and improvements for {{spark.logit}}:
* {{summary}} should return coefficients matrix, and should output labels for
each class if the model is multinomial logistic regression model.
* {{summary}} should not return {{areaUnderROC, roc, pr, ...}}, since most of
them are DataFrame which are less important for R users. Meanwhile, these
metrics ignore instance weights (setting all to 1.0) which will be changed in
later Spark version. In case it will introduce breaking changes, we do not
expose them currently.
was:
Several cleanup and improvements for {{spark.logit}}:
* {{summary}} should return coefficients matrix, and should output labels for
each class if the model is multinomial logistic regression model.
> Several cleanup and improvements for spark.logit
> ------------------------------------------------
>
> Key: SPARK-18686
> URL: https://issues.apache.org/jira/browse/SPARK-18686
> Project: Spark
> Issue Type: Improvement
> Components: ML, SparkR
> Reporter: Yanbo Liang
>
> Several cleanup and improvements for {{spark.logit}}:
> * {{summary}} should return coefficients matrix, and should output labels for
> each class if the model is multinomial logistic regression model.
> * {{summary}} should not return {{areaUnderROC, roc, pr, ...}}, since most of
> them are DataFrame which are less important for R users. Meanwhile, these
> metrics ignore instance weights (setting all to 1.0) which will be changed in
> later Spark version. In case it will introduce breaking changes, we do not
> expose them currently.
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