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https://issues.apache.org/jira/browse/SPARK-24102?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16716437#comment-16716437
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ASF GitHub Bot commented on SPARK-24102:
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SparkQA commented on issue #17085: [SPARK-24102][ML][MLLIB] ML Evaluators
should use weight column - added weight column for regression evaluator
URL: https://github.com/apache/spark/pull/17085#issuecomment-446108009
**[Test build #99946 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/99946/testReport)**
for PR 17085 at commit
[`aca6255`](https://github.com/apache/spark/commit/aca62557fe394d500bd084ad840f9c0ff352cde3).
* This patch **fails due to an unknown error code, -9**.
* This patch merges cleanly.
* This patch adds no public classes.
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> RegressionEvaluator should use sample weight data
> -------------------------------------------------
>
> Key: SPARK-24102
> URL: https://issues.apache.org/jira/browse/SPARK-24102
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 2.0.2
> Reporter: Ilya Matiach
> Priority: Major
> Labels: starter
>
> The LogisticRegression and LinearRegression models support training with a
> weight column, but the corresponding evaluators do not support computing
> metrics using those weights. This breaks model selection using CrossValidator.
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