[jira] [Updated] (SPARK-19144) Add test for GaussianMixture with distributed decompositions

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-19144?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-19144:
---------------------------------
    Labels: bulk-closed  (was: )

> Add test for GaussianMixture with distributed decompositions
> ------------------------------------------------------------
>
>                 Key: SPARK-19144
>                 URL: https://issues.apache.org/jira/browse/SPARK-19144
>             Project: Spark
>          Issue Type: Test
>          Components: ML
>            Reporter: Yanbo Liang
>            Priority: Minor
>              Labels: bulk-closed
>
> {code}
> test("check distributed decomposition") {
>     val k = 5
>     val d = decompositionData.head.size
>     assert(GaussianMixture.shouldDistributeGaussians(k, d))
>     val gmm = new GaussianMixture().setK(k).setSeed(seed).fit(decompositionDataset)
>     assert(gmm.getK === k)
> }
> {code}
> In ML {{GaussianMixtureSuite}}, the above test only check that when we distribute the computation that it produces a model, but does not check that it produces a correct model.
> It should have, but depends on {{GaussianMixture}} can be set with initialModel (SPARK-15785), otherwise, this algorithm seems incapable of learning even this very contrived example. After that was resolved, we can add a correctness test in the above case.



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