spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-19110) DistributedLDAModel returns different logPrior for original and loaded model
Date Sat, 07 Jan 2017 19:28:58 GMT

     [ https://issues.apache.org/jira/browse/SPARK-19110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joseph K. Bradley updated SPARK-19110:
--------------------------------------
    Assignee: Miao Wang

> 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
>            Assignee: 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-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message