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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/10/11 19:42:20 UTC
[jira] [Resolved] (SPARK-15153) SparkR spark.naiveBayes throws
error when label is numeric type
[ https://issues.apache.org/jira/browse/SPARK-15153?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley resolved SPARK-15153.
---------------------------------------
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15431
[https://github.com/apache/spark/pull/15431]
> SparkR spark.naiveBayes throws error when label is numeric type
> ---------------------------------------------------------------
>
> Key: SPARK-15153
> URL: https://issues.apache.org/jira/browse/SPARK-15153
> Project: Spark
> Issue Type: Bug
> Components: ML, SparkR
> Reporter: Yanbo Liang
> Assignee: Yanbo Liang
> Fix For: 2.1.0
>
>
> When the label of dataset is numeric type, SparkR spark.naiveBayes will throw error. This bug is easy to reproduce:
> {code}
> t <- as.data.frame(Titanic)
> t1 <- t[t$Freq > 0, -5]
> t1$NumericSurvived <- ifelse(t1$Survived == "No", 0, 1)
> t2 <- t1[-4]
> df <- suppressWarnings(createDataFrame(sqlContext, t2))
> m <- spark.naiveBayes(df, NumericSurvived ~ .)
> 16/05/05 03:26:17 ERROR RBackendHandler: fit on org.apache.spark.ml.r.NaiveBayesWrapper failed
> Error in invokeJava(isStatic = TRUE, className, methodName, ...) :
> java.lang.ClassCastException: org.apache.spark.ml.attribute.UnresolvedAttribute$ cannot be cast to org.apache.spark.ml.attribute.NominalAttribute
> at org.apache.spark.ml.r.NaiveBayesWrapper$.fit(NaiveBayesWrapper.scala:66)
> at org.apache.spark.ml.r.NaiveBayesWrapper.fit(NaiveBayesWrapper.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.api.r.RBackendHandler.handleMethodCall(RBackendHandler.scala:141)
> at org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:86)
> at org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:38)
> at io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
> at io.netty.channel.AbstractChannelHandlerContext.invo
> {code}
> In RFormula, the response variable type could be string or numeric. If it's string, RFormula will transform it to label of DoubleType by StringIndexer and set corresponding column metadata; otherwise, RFormula will directly use it as label when training model (and assumes that it was numbered from 0, ..., maxLabelIndex).
> When we extract labels at ml.r.NaiveBayesWrapper, we should handle it according the type of the response variable (string or numeric).
> cc [~mengxr] [~josephkb]
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