[jira] [Commented] (SPARK-9888) Update LDA User Guide

2015-08-17 Thread Apache Spark (JIRA)

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https://issues.apache.org/jira/browse/SPARK-9888?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14700332#comment-14700332
 ] 

Apache Spark commented on SPARK-9888:
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User 'feynmanliang' has created a pull request for this issue:
https://github.com/apache/spark/pull/8254

 Update LDA User Guide
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 Key: SPARK-9888
 URL: https://issues.apache.org/jira/browse/SPARK-9888
 Project: Spark
  Issue Type: Documentation
  Components: MLlib
Reporter: Feynman Liang
Assignee: Feynman Liang
 Fix For: 1.5.0


 LDA has received numerous updates in 1.5, including:
  * OnlineLDAOptimizer:
 * Asymmetric document-topic priors
 * Document-topic hyperparameter optimization
  * LocalLDAModel
 * predict
 * logPerplexity / logLikelihood
  * DistributedLDAModel:
 * topDocumentsPerTopic
 * topTopicsPerDoc
  * Save/load
 It is important to note that OnlineLDAOptimizer=LocalLDAModel and 
 EMLDAOptimizer=DistributedLDAModel now support different features. The user 
 guide should document these differences.



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[jira] [Commented] (SPARK-9888) Update LDA User Guide

2015-08-12 Thread Feynman Liang (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-9888?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14694287#comment-14694287
 ] 

Feynman Liang commented on SPARK-9888:
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[~mengxr] please assign to me

 Update LDA User Guide
 -

 Key: SPARK-9888
 URL: https://issues.apache.org/jira/browse/SPARK-9888
 Project: Spark
  Issue Type: Documentation
  Components: MLlib
Reporter: Feynman Liang
 Fix For: 1.5.0


 LDA has received numerous updates in 1.5, including:
  * OnlineLDAOptimizer:
 * Asymmetric document-topic priors
 * Document-topic hyperparameter optimization
  * LocalLDAModel
 * predict
 * logPerplexity / logLikelihood
  * DistributedLDAModel:
 * topDocumentsPerTopic
 * topTopicsPerDoc
  * Save/load
 It is important to note that OnlineLDAOptimizer=LocalLDAModel and 
 EMLDAOptimizer=DistributedLDAModel now support different features. The user 
 guide should document these differences.



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