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https://issues.apache.org/jira/browse/SPARK-19294?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-19294:
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Component/s: ML
> improve LocalLDAModel save/load scaling for large models
> --------------------------------------------------------
>
> Key: SPARK-19294
> URL: https://issues.apache.org/jira/browse/SPARK-19294
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: Asher Krim
>
> The LDA model in ml has some of the same problems addressed by
> https://issues.apache.org/jira/browse/SPARK-19247 for word2vec.
> An LDA model is on order of `vocabSize` * `k`, which can easily reach 3gb for
> k=1000 and vocabSize=3m. It's currently saved as a single datum in 1
> partition.
> Instead, we should represent the matrix as a list, and use the logic from
> https://issues.apache.org/jira/browse/SPARK-11994 to pick a reasonable number
> of partitions.
> cc [~josephkb]
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