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Posted to issues@spark.apache.org by "Franklyn Dsouza (JIRA)" <ji...@apache.org> on 2017/06/24 01:24:00 UTC

[jira] [Created] (SPARK-21199) Its not possible to impute Vector types

Franklyn Dsouza created SPARK-21199:
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             Summary: Its not possible to impute Vector types
                 Key: SPARK-21199
                 URL: https://issues.apache.org/jira/browse/SPARK-21199
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 2.1.1, 2.0.0
            Reporter: Franklyn Dsouza


There are cases where nulls end up in vector columns in dataframes. Currently there is no way to fill in these nulls because its not possible to create a literal vector column expression using lit().

Also the entire pyspark ml api will fail when they encounter nulls so this makes it hard to work with the data.

I think that either vector support should be added to the imputer or vectors should be supported in column expressions so they can be used in a coalesce.

@mlnick



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