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https://issues.apache.org/jira/browse/SPARK-13291?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley closed SPARK-13291.
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Resolution: Duplicate
> Numerical models should preserve label attributes
> -------------------------------------------------
>
> Key: SPARK-13291
> URL: https://issues.apache.org/jira/browse/SPARK-13291
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 1.6.0
> Reporter: Piotr Smolinski
> Priority: Minor
>
> I tried building a simple pipeline for Random Forest classification. The
> predictors are some doubles, some ints and some strings. The response is
> string. The RFormula seems to be a perfect candidate. RFormulaModel produces
> nicely *labelCol* column with StringIndexer derived metadata and
> RandomForestClassificationModel converts the *featuresCol* to
> *predictionCol*. The problem is that there is no way to convert the
> *predictionCol* (which is factor index) back to the label. The metadata
> created by StringIndexer is lost.
> The numerical models should create the *predictionCol* columns with metadata
> seen on the *labelCol* column during the model fitting.
> Preserving metadata allows for example to pipeline RFormula,
> RandomForestClassifier and IndexToString.
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