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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/01/11 11:18:40 UTC
[jira] [Resolved] (SPARK-3878) Benchmarks and common tests for
mllib algorithm
[ https://issues.apache.org/jira/browse/SPARK-3878?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-3878.
------------------------------
Resolution: Won't Fix
> 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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