GitHub user dbtsai opened a pull request:
https://github.com/apache/spark/pull/12172
[SPARK-13944][ML][WIP] Separate out local linear algebra as a standalone
module without Spark dependency
## What changes were proposed in this pull request?
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.
## How was this patch tested?
WIP
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dbtsai/spark dbtsai-linear-algebra
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12172.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #12172
----
commit 0cfc65d1aa4ab3c82459ab0cd3598fd2969387b6
Author: DB Tsai <d...@netflix.com>
Date: 2016-03-22T23:54:11Z
dbtsai-linear-algebra
commit cb95b0c5194e0d53614c5ae9fd77f110bbd62826
Author: DB Tsai <d...@netflix.com>
Date: 2016-04-05T07:32:11Z
more work
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