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https://issues.apache.org/jira/browse/SPARK-9230?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14635796#comment-14635796
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Shivaram Venkataraman commented on SPARK-9230:
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The thing to do there would be to capture it as SparkR DataFrame columns. so
df$Sepal_Width actually resolves to a Java column class and then we can parse
those in RFormula -- So in some sense we'll have two constructors, one from
strings and one from DataFrame columns.
> SparkR RFormula should support StringType features
> --------------------------------------------------
>
> Key: SPARK-9230
> URL: https://issues.apache.org/jira/browse/SPARK-9230
> Project: Spark
> Issue Type: New Feature
> Components: ML, SparkR
> Reporter: Eric Liang
>
> StringType features will need to be encoded using OneHotEncoder to be used
> for regression. See umbrella design doc
> https://docs.google.com/document/d/10NZNSEurN2EdWM31uFYsgayIPfCFHiuIu3pCWrUmP_c/edit?usp=sharing
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