[
https://issues.apache.org/jira/browse/SPARK-21257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mathieu DESPRIEE updated SPARK-21257:
-------------------------------------
Issue Type: New Feature (was: Improvement)
> LDA : create an Evaluator to enable cross validation
> ----------------------------------------------------
>
> Key: SPARK-21257
> URL: https://issues.apache.org/jira/browse/SPARK-21257
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 2.1.1
> Reporter: Mathieu DESPRIEE
>
> I suggest the creation of an LDAEvaluator to use with CrossValidator, using
> logPerplexity as a metric for evaluation.
> Unfortunately, the computation of perplexity needs to access some internal
> data of the model, and the current implementation of CrossValidator does not
> pass the model being evaluated to the Evaluator.
> A way could be to change the Evaluator.evaluate() method to pass the model
> along with the dataset.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
