[
https://issues.apache.org/jira/browse/SPARK-19110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joseph K. Bradley updated SPARK-19110:
--------------------------------------
Affects Version/s: 2.2.0
1.3.1
1.4.1
1.5.2
1.6.3
2.0.2
2.1.0
> 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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
