spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-19294) improve LocalLDAModel save/load scaling for large models
Date Fri, 30 Jun 2017 08:34:00 GMT

     [ 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]



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message