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Posted to issues@spark.apache.org by "Mohamed Baddar (JIRA)" <ji...@apache.org> on 2016/03/13 12:04:33 UTC
[jira] [Comment Edited] (SPARK-13073) creating R like summary for
logistic Regression in Spark - Scala
[ https://issues.apache.org/jira/browse/SPARK-13073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15192290#comment-15192290 ]
Mohamed Baddar edited comment on SPARK-13073 at 3/13/16 11:03 AM:
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[~josephkb] After more investigation in the code , and to make minimal changes on the code.My previous suggestion may not be suitable .I think we can implement toString version for BinaryLogisticRegressionSummary that give different information than R summary. It will create string representation for the following members :
precision
recall
fmeasure
is there any comment before i start the PR ?
was (Author: mbaddar1):
[~josephkb] After more investigation in the code , and to make minimal changes on the code.My previous suggestion may not be suitable .I think we can implement toString version for BinaryLogisticRegressionSummary that give different information than R summary. It will create string representation for the following members :
precision
recall
fmeasure
[~josephkb] is there any comment before i start the PR ?
> creating R like summary for logistic Regression in Spark - Scala
> ----------------------------------------------------------------
>
> Key: SPARK-13073
> URL: https://issues.apache.org/jira/browse/SPARK-13073
> Project: Spark
> Issue Type: New Feature
> Components: ML, MLlib
> Reporter: Samsudhin
> Priority: Minor
>
> Currently Spark ML provides Coefficients for logistic regression. To evaluate the trained model tests like wald test, chi square tests and their results to be summarized and display like GLM summary of R
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