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Posted to issues@spark.apache.org by "Deborah Siegel (JIRA)" <ji...@apache.org> on 2015/09/03 21:10:45 UTC
[jira] [Commented] (SPARK-9713) Document SparkR MLlib glm()
integration in Spark 1.5
[ https://issues.apache.org/jira/browse/SPARK-9713?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14729607#comment-14729607 ]
Deborah Siegel commented on SPARK-9713:
---------------------------------------
It seems that summary() on binomial classification model in glm is not available as it is for gaussian model? Does SparkRWrappers.scala need to be updated, or the documentation?
>dbwt <- createDataFrame(sqlContext, birthwt)
>logisticmodel <- glm(smoke ~ bwt, data = dbwt, family = "binomial")
>summary(logisticmodel)
15/09/03 12:02:43 ERROR RBackendHandler: getModelFeatures on org.apache.spark.ml.api.r.SparkRWrappers failed
Error in invokeJava(isStatic = TRUE, className, methodName, ...) :
java.lang.UnsupportedOperationException: No features names available for LogisticRegressionModel
> Document SparkR MLlib glm() integration in Spark 1.5
> ----------------------------------------------------
>
> Key: SPARK-9713
> URL: https://issues.apache.org/jira/browse/SPARK-9713
> Project: Spark
> Issue Type: Documentation
> Components: Documentation, ML, SparkR
> Affects Versions: 1.5.0
> Reporter: Eric Liang
> Assignee: Eric Liang
> Priority: Critical
> Fix For: 1.5.0
>
>
> The new SparkR functions in mllib.R should be documented: glm(), predict(), and summary().
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