Franklyn Dsouza created SPARK-21199:
---------------------------------------
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
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
