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https://issues.apache.org/jira/browse/SPARK-16993?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15415063#comment-15415063
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Dulaj Rajitha commented on SPARK-16993:
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When using the RandomForestRegressor.
I trained using a dataframe with the label column and got a model.
by: model = regressor.fit(trainData)
But my test data does not have a label column. (Since this is the column I need
to be prediicted).
therefore when transforming I got a error.
model.transform(test)
> 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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