GitHub user imatiach-msft opened a pull request:
https://github.com/apache/spark/pull/17084
[SPARK-18693][ML][MLLIB] ML Evaluators should use weight column - added
weight column for binary 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 and evaluators classes.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/imatiach-msft/spark ilmat/binary-evalute
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17084.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 #17084
----
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
