GitHub user rawataaryan9 opened a pull request:
https://github.com/apache/spark/pull/18390
SPARK-21178 : Add support for label specific metrics in MulticlassClaâ¦
â¦ssificationEvaluator
## What changes were proposed in this pull request?
Added support for providing a label value (optional) in
MulticlassClassificationEvaluator
Added support for following metrics, when a label value is provided -
f1, precision, recall, true positive rate, false positive rate.
This allows for optimizing on a label specific metric when learning a model.
## How was this patch tested?
Added unit-tests in accordance with the existing tests on
MulticlassClassificationEvaluator
Done manual testing to verify it's working correctly.
Please review http://spark.apache.org/contributing.html before opening a
pull request.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/rawataaryan9/spark SPARK-21178
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18390.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 #18390
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commit 7be699310ae8a34eef57e1a9e6aa470dee4c859f
Author: aman rawat <[email protected]>
Date: 2017-06-22T12:04:08Z
SPARK-21178 : Add support for label specific metrics in
MulticlassClassificationEvaluator
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