[jira] [Closed] (SPARK-16993) model.transform without label column in random forest regression

["Dulaj Rajitha (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16993?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dulaj Rajitha closed SPARK-16993.
---------------------------------
    Resolution: Not A Problem

Not a bug in Spark.

> 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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