[
https://issues.apache.org/jira/browse/SPARK-15153?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yanbo Liang updated SPARK-15153:
--------------------------------
Description:
When the type of label of dataset is numeric, SparkR spark.naiveBayes will
throw error when training. This bug is easy to reproduce:
{code}
t <- as.data.frame(Titanic)
t1 <- t[t$Freq > 0, -5]
t1$NumericSurvived <- ifelse(t1$Survived == "No", 0, 1)
t2 <- t1[-4]
df <- suppressWarnings(createDataFrame(sqlContext, t2))
m <- spark.naiveBayes(df, NumericSurvived ~ .)
s <- summary(m)
16/05/05 03:26:17 ERROR RBackendHandler: fit on
org.apache.spark.ml.r.NaiveBayesWrapper failed
Error in invokeJava(isStatic = TRUE, className, methodName, ...) :
java.lang.ClassCastException:
org.apache.spark.ml.attribute.UnresolvedAttribute$ cannot be cast to
org.apache.spark.ml.attribute.NominalAttribute
at
org.apache.spark.ml.r.NaiveBayesWrapper$.fit(NaiveBayesWrapper.scala:66)
at org.apache.spark.ml.r.NaiveBayesWrapper.fit(NaiveBayesWrapper.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.spark.api.r.RBackendHandler.handleMethodCall(RBackendHandler.scala:141)
at
org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:86)
at
org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:38)
at
io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
at io.netty.channel.AbstractChannelHandlerContext.invo
{code}
was:When the type of label of dataset is numeric, SparkR spark.naiveBayes
will throw error when extracting labels attribute.
> SparkR spark.naiveBayes error when label is numeric type
> --------------------------------------------------------
>
> Key: SPARK-15153
> URL: https://issues.apache.org/jira/browse/SPARK-15153
> Project: Spark
> Issue Type: Bug
> Components: ML, SparkR
> Reporter: Yanbo Liang
>
> When the type of label of dataset is numeric, SparkR spark.naiveBayes will
> throw error when training. This bug is easy to reproduce:
> {code}
> t <- as.data.frame(Titanic)
> t1 <- t[t$Freq > 0, -5]
> t1$NumericSurvived <- ifelse(t1$Survived == "No", 0, 1)
> t2 <- t1[-4]
> df <- suppressWarnings(createDataFrame(sqlContext, t2))
> m <- spark.naiveBayes(df, NumericSurvived ~ .)
> s <- summary(m)
> 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}
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