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Posted to issues@spark.apache.org by "Mohamed Baddar (JIRA)" <ji...@apache.org> on 2015/09/24 22:44:06 UTC
[jira] [Commented] (SPARK-10808) LDA user guide: discuss running
time of LDA
[ https://issues.apache.org/jira/browse/SPARK-10808?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14906975#comment-14906975 ]
Mohamed Baddar commented on SPARK-10808:
----------------------------------------
Hello [~josephkb] , can i take this task . thanks
> LDA user guide: discuss running time of LDA
> -------------------------------------------
>
> Key: SPARK-10808
> URL: https://issues.apache.org/jira/browse/SPARK-10808
> Project: Spark
> Issue Type: Documentation
> Components: Documentation, MLlib
> Reporter: Joseph K. Bradley
> Priority: Minor
>
> Based on feedback like [SPARK-10791], we should discuss the computational and communication complexity of LDA and its optimizers in the MLlib Programming Guide. E.g.:
> * Online LDA can be faster than EM.
> * To make online LDA run faster, you can use a smaller miniBatchFraction.
> * Communication
> ** For EM, communication on each iteration is on the order of # topics * (vocabSize + # docs).
> ** For online LDA, communication on each iteration is on the order of # topics * vocabSize.
> * Decreasing vocabSize and # topics can speed things up. It's often fine to eliminate uncommon words, unless you are trying to create a very large number of topics.
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