GitHub user imatiach-msft opened a pull request:
https://github.com/apache/spark/pull/17086
[SPARK-18693][ML][MLLIB] ML Evaluators should use weight column - added
weight column for multiclass classification evaluator
## What changes were proposed in this pull request?
The evaluators BinaryClassificationEvaluator, RegressionEvaluator, and
MulticlassClassificationEvaluator and the corresponding metrics classes
BinaryClassificationMetrics, RegressionMetrics and MulticlassMetrics should use
sample weight data.
I've closed the PR: https://github.com/apache/spark/pull/16557
as recommended in favor of creating three pull requests, one for each of
the evaluators (binary/regression/multiclass) to make it easier to
review/update.
## How was this patch tested?
I added tests to the metrics class.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/imatiach-msft/spark ilmat/multiclass-evaluate
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17086.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 #17086
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commit cf6a5aba61716dcb11ef3ca7b1f3b803bf99ef33
Author: Ilya Matiach <il...@microsoft.com>
Date: 2017-02-27T18:28:08Z
Added weight column for multiclass classification evaluator
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