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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/06/30 08:34:00 UTC

[jira] [Resolved] (SPARK-19294) improve LocalLDAModel save/load scaling for large models

     [ https://issues.apache.org/jira/browse/SPARK-19294?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-19294.
-------------------------------
    Resolution: Duplicate

> 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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