You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2017/01/28 00:20:24 UTC
[jira] [Updated] (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 ]
Joseph K. Bradley updated SPARK-19294:
--------------------------------------
Issue Type: Improvement (was: Bug)
> 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
> 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]
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org