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https://issues.apache.org/jira/browse/SPARK-3878?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14355005#comment-14355005
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Apache Spark commented on SPARK-3878:
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User 'epahomov' has created a pull request for this issue:
https://github.com/apache/spark/pull/4963
> Benchmarks and common tests for mllib algorithm
> -----------------------------------------------
>
> Key: SPARK-3878
> URL: https://issues.apache.org/jira/browse/SPARK-3878
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Egor Pakhomov
> Assignee: Egor Pakhomov
>
> There is no common practice among MLlib for testing algorithms: every model
> generates it's own random test data. There is no easy extractable test cases
> applible to another algorithm. There is no benchmarks for comparing
> algorithms. After implementing new algorithm it's very hard to understand how
> it should be tested.
> Lack of serialization testing: MLlib algorithms don't contain tests which
> test that model work after serialization.
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