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https://issues.apache.org/jira/browse/SPARK-13073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15192290#comment-15192290
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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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