[jira] [Assigned] (SPARK-18686) Several cleanup and improvements for spark.logit

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-18686?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-18686:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>
> 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.
> * SparkR test improvement: comparing the training result with native R glmnet.
> * Remove argument {{aggregationDepth}} from {{spark.logit}}, since it's an expert Param(related with Spark architecture and job execution) that would be used rarely by R users.



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