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Posted to issues@spark.apache.org by "Shivaram Venkataraman (JIRA)" <ji...@apache.org> on 2015/04/09 23:31:12 UTC

[jira] [Created] (SPARK-6823) Add a model.matrix like capability to DataFrames (modelDataFrame)

Shivaram Venkataraman created SPARK-6823:
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             Summary: Add a model.matrix like capability to DataFrames (modelDataFrame)
                 Key: SPARK-6823
                 URL: https://issues.apache.org/jira/browse/SPARK-6823
             Project: Spark
          Issue Type: New Feature
          Components: ML, SparkR
            Reporter: Shivaram Venkataraman


Currently Mllib modeling tools work only with double data. However, data tables in practice often have a set of categorical fields (factors in R), that need to be converted to a set of 0/1 indicator variables (making the data actually used in a modeling algorithm completely numeric). In R, this is handled in modeling functions using the model.matrix function. Similar functionality needs to be available within Spark.



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