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https://issues.apache.org/jira/browse/SPARK-19110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-19110:
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Shepherd: Joseph K. Bradley
Target Version/s: 1.6.4, 2.0.3, 2.1.1, 2.2.0
> DistributedLDAModel returns different logPrior for original and loaded model
> ----------------------------------------------------------------------------
>
> Key: SPARK-19110
> URL: https://issues.apache.org/jira/browse/SPARK-19110
> Project: Spark
> Issue Type: Bug
> Components: ML, MLlib
> Affects Versions: 1.3.1, 1.4.1, 1.5.2, 1.6.3, 2.0.2, 2.1.0, 2.2.0
> Reporter: Miao Wang
>
> While adding DistributedLDAModel training summary for SparkR, I found that
> the logPrior for original and loaded model is different.
> For example, in the test("read/write DistributedLDAModel"), I add the test:
> val logPrior = model.asInstanceOf[DistributedLDAModel].logPrior
> val logPrior2 = model2.asInstanceOf[DistributedLDAModel].logPrior
> assert(logPrior === logPrior2)
> The test fails:
> -4.394180878889078 did not equal -4.294290536919573
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