GitHub user thunterdb opened a pull request:
https://github.com/apache/spark/pull/17108
[SPARK-19636][ML] Feature parity for correlation statistics in MLlib
## What changes were proposed in this pull request?
This patch adds the Dataframes-based support for the correlation statistics
found in the `org.apache.spark.mllib.stat.correlation.Statistics`, following
the design doc discussed in the JIRA ticket.
The current implementation is a simple wrapper around the `spark.mllib`
implementation. Future optimizations can be implemented at a later stage.
## How was this patch tested?
```
build/sbt "testOnly org.apache.spark.ml.stat.StatisticsSuite"
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/thunterdb/spark 19636
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17108.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 #17108
----
commit 42c26bdd5a3ac24bbe3a4101ee252c072373efe6
Author: Timothy Hunter <timhun...@databricks.com>
Date: 2017-02-23T23:44:55Z
changes
commit d9f6a6c6c2457920fbf1002da5da62ff7d29b46c
Author: Timothy Hunter <timhun...@databricks.com>
Date: 2017-03-01T00:31:19Z
commit
commit 7d4ccfef4e6d3a7b65c3cca149afb250414aea4c
Author: Timothy Hunter <timhun...@databricks.com>
Date: 2017-03-01T00:31:34Z
Cleanup
----
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