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https://issues.apache.org/jira/browse/SYSTEMML-969?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15531065#comment-15531065
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Mike Dusenberry commented on SYSTEMML-969:
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[~mboehm7] I wanted to try the workaround of converting a DataFrame I have to
a SystemML {{frame}} to avoid shuffles, but the frame converters do not yet
allow for {{Vector}} types.
> Add Vector As Supported Type In Frame Conversions
> -------------------------------------------------
>
> Key: SYSTEMML-969
> URL: https://issues.apache.org/jira/browse/SYSTEMML-969
> Project: SystemML
> Issue Type: New Feature
> Reporter: Mike Dusenberry
>
> Currently, we are able to pass in Spark DataFrames with Vector type columns
> as input to SystemML scripts to be converted to a SystemML {{matrix}}. We
> should add the Vector type to the {{frame}} conversion code too.
> Example: Given a Spark DataFrame of schema <double, vector, string>, we
> should be able to convert that to a SystemML {{frame}} with a bunch of double
> columns and the final string column.
> cc [~mboehm7], [~acs_s]
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