Miao Wang created SPARK-19110:
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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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