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https://issues.apache.org/jira/browse/SPARK-29496?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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