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From "Miao Wang (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-19110) DistributedLDAModel returns different logPrior for original and loaded model
Date Fri, 06 Jan 2017 20:39:58 GMT
Miao Wang created SPARK-19110:
---------------------------------

             Summary: 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
            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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