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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/03/16 22:52:07 UTC
[jira] [Updated] (SPARK-29496) Add ability to estimate perplexity
every X iterations for LDA
[ https://issues.apache.org/jira/browse/SPARK-29496?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-29496:
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Affects Version/s: (was: 3.0.0)
3.1.0
> Add ability to estimate perplexity every X iterations for LDA
> -------------------------------------------------------------
>
> Key: SPARK-29496
> URL: https://issues.apache.org/jira/browse/SPARK-29496
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 3.1.0
> Reporter: Chris Nardi
> Priority: Major
>
> In gensim, [the LDA model|https://radimrehurek.com/gensim/models/ldamodel.html] has a parameter eval_every that allows a user to specify that the model should be evaluated every X iterations to determine its log perplexity. This helps to determine convergence of the model, and whether or not the proper number of iterations has been chosen. Spark has no similar functionality in its implementation of LDA. This should be added, as it appears the only way to achieve this functionality would be to train models of varying numbers of iterations and evaluate each's log perplexity.
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