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Posted to issues@spark.apache.org by "Mathieu DESPRIEE (JIRA)" <ji...@apache.org> on 2017/06/29 19:36:00 UTC

[jira] [Updated] (SPARK-21257) LDA : create an Evaluator to enable cross validation

     [ https://issues.apache.org/jira/browse/SPARK-21257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mathieu DESPRIEE updated SPARK-21257:
-------------------------------------
    Issue Type: Improvement  (was: New Feature)

> LDA : create an Evaluator to enable cross validation
> ----------------------------------------------------
>
>                 Key: SPARK-21257
>                 URL: https://issues.apache.org/jira/browse/SPARK-21257
>             Project: Spark
>          Issue Type: Improvement
>          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.



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