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https://issues.apache.org/jira/browse/SPARK-16993?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15415222#comment-15415222
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Sean Owen commented on SPARK-16993:
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You need a label for training and evaluation. You do not need one for
prediction, of course. But I do not see any use of labelCol in transform
methods. That's why I'm asking for more detail, like where this exception
occurs. I'm still not sure you're actually making predictions in your code.
> model.transform without label column in random forest regression
> ----------------------------------------------------------------
>
> Key: SPARK-16993
> URL: https://issues.apache.org/jira/browse/SPARK-16993
> Project: Spark
> Issue Type: Question
> Components: Java API, ML
> Reporter: Dulaj Rajitha
>
> I need to use a separate data set to prediction (Not as show in example's
> training data split).
> But those data do not have the label column. (Since these data are the data
> that needs to be predict the label).
> but model.transform is informing label column is missing.
> org.apache.spark.sql.AnalysisException: cannot resolve 'label' given input
> columns: [id,features,prediction]
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