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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/08/10 09:55:20 UTC
[jira] [Commented] (SPARK-16993) model.transform without label
column in random forest regression
[ https://issues.apache.org/jira/browse/SPARK-16993?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15415050#comment-15415050 ]
Sean Owen commented on SPARK-16993:
-----------------------------------
Questions should go to user@.
Can you clarify? where do you get this exception? the transform method does not require a label, no.
> 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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