[jira] [Created] (SPARK-15944) Make spark.ml package backward compatible with spark.mllib vectors

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

Xiangrui Meng created SPARK-15944:
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             Summary: Make spark.ml package backward compatible with spark.mllib vectors
                 Key: SPARK-15944
                 URL: https://issues.apache.org/jira/browse/SPARK-15944
             Project: Spark
          Issue Type: Umbrella
          Components: ML, MLlib
    Affects Versions: 2.0.0
            Reporter: Xiangrui Meng
            Assignee: Xiangrui Meng
            Priority: Critical


During QA, we found that it is not trivial to convert a DataFrame with old vector columns to new vector columns. So it would be easier for users to migrate their datasets and pipelines if we:

1) provide utils to convert DataFrames with vector columns
2) automatically detect and convert old vector columns in ML pipelines

This is an umbrella JIRA to track the progress.



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