[jira] [Created] (SPARK-17311) Standardize Python-Java MLlib API to accept optional long seeds in all cases

["Sean Owen (JIRA)" <ji...@apache.org>]

Sean Owen created SPARK-17311:
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             Summary: Standardize Python-Java MLlib API to accept optional long seeds in all cases
                 Key: SPARK-17311
                 URL: https://issues.apache.org/jira/browse/SPARK-17311
             Project: Spark
          Issue Type: Bug
          Components: MLlib, PySpark
    Affects Versions: 2.0.0
            Reporter: Sean Owen
            Assignee: Sean Owen
            Priority: Minor


(Note this follows on https://issues.apache.org/jira/browse/SPARK-16832 )

There are a few seed-related issues in the Pyspark-MLLib bridge:

- {{PythonMLlibAPI}} methods that take a seed don't always take a {{java.lang.Long}} consistently, allowing the Python API to specify "no seed"
- .mllib's {{Word2VecModel}} seems to be an odd man out in .mllib in that it picks its own random seed. Instead it should default to None, meaning, letting the Scala implementation pick a seed



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