[jira] [Commented] (SPARK-10808) LDA user guide: discuss running time of LDA

2015-09-25 Thread Mohamed Baddar (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-10808?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14908198#comment-14908198
 ] 

Mohamed Baddar commented on SPARK-10808:


Thanks [~josephkb] , working on it

> 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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[jira] [Commented] (SPARK-10808) LDA user guide: discuss running time of LDA

2015-09-24 Thread Mohamed Baddar (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-10808?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=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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