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https://issues.apache.org/jira/browse/SPARK-13944?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15234078#comment-15234078
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Nick Pentreath edited comment on SPARK-13944 at 4/10/16 12:15 PM:
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What about the case of
{code}
dataFrame.rdd.map { case Row(v: Vector) => ... }
{code}
This returns the new {{ml.linalg}} vector, which would need to be converted to
a {{mllib.linalg}} vector in order to be used in the {{mllib}} APIs.
And is the other way around is handled with the automatic conversion in
{{VectorUDT}}?
was (Author: mlnick):
What about the case of {{dataFrame.rdd.map { case Row(v: Vector) => ... } }}?
This returns the new {{ml.linalg}} vector, which would need to be converted to
a {{mllib.linalg}} vector in order to be used in the {{mllib}} APIs.
And is the other way around is handled with the automatic conversion in
{{VectorUDT}}?
> Separate out local linear algebra as a standalone module without Spark
> dependency
> ---------------------------------------------------------------------------------
>
> Key: SPARK-13944
> URL: https://issues.apache.org/jira/browse/SPARK-13944
> Project: Spark
> Issue Type: New Feature
> Components: Build, ML
> Affects Versions: 2.0.0
> Reporter: Xiangrui Meng
> Assignee: DB Tsai
> Priority: Blocker
>
> Separate out linear algebra as a standalone module without Spark dependency
> to simplify production deployment. We can call the new module
> spark-mllib-local, which might contain local models in the future.
> The major issue is to remove dependencies on user-defined types.
> The package name will be changed from mllib to ml. For example, Vector will
> be changed from `org.apache.spark.mllib.linalg.Vector` to
> `org.apache.spark.ml.linalg.Vector`. The return vector type in the new ML
> pipeline will be the one in ML package; however, the existing mllib code will
> not be touched. As a result, this will potentially break the API. Also, when
> the vector is loaded from mllib vector by Spark SQL, the vector will
> automatically converted into the one in ml package.
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