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Posted to issues@spark.apache.org by "Dulaj Rajitha (JIRA)" <ji...@apache.org> on 2016/08/10 09:41:20 UTC

[jira] [Updated] (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:all-tabpanel ]

Dulaj Rajitha updated SPARK-16993:
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    Summary: model.transform without label column in random forest regression  (was: model.transform withot label column)

> 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.



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