GitHub user sethah opened a pull request:
https://github.com/apache/spark/pull/20332
[SPARK-23138][ML][DOC] Multiclass summary example and user guide
## What changes were proposed in this pull request?
User guide and examples are updated to reflect multiclass logistic
regression summary which was added in
[SPARK-17139](https://issues.apache.org/jira/browse/SPARK-17139).
I did not make a separate summary example, but added the summary code to
the multiclass example that already existed. I don't see the need for a
separate example for the summary.
## How was this patch tested?
Docs and examples only. Ran all examples locally using spark-submit.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sethah/spark multiclass_summary_example
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/20332.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 #20332
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commit 9299fc83d2edab956bd13b2e1c985f64dcd2643e
Author: sethah <shendrickson@...>
Date: 2018-01-19T17:52:10Z
adding examples for python, scala, and java
commit bf076ed09abb3bb474e0925b3b9c4dbc6e90771a
Author: sethah <shendrickson@...>
Date: 2018-01-19T18:43:01Z
use binaryTrainingSummary
commit d0aa9f19550deb620e515ec33004be365c5439be
Author: sethah <shendrickson@...>
Date: 2018-01-19T18:46:16Z
import cleanup
commit cb6c811e98d9739a7c1608880b2d0037cdeb5990
Author: sethah <shendrickson@...>
Date: 2018-01-19T18:51:28Z
clarify user guide
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