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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/07/31 01:46:05 UTC
[jira] [Updated] (SPARK-9246) DistributedLDAModel predict top docs
per topic
[ https://issues.apache.org/jira/browse/SPARK-9246?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-9246:
-------------------------------------
Assignee: Meihua Wu
> DistributedLDAModel predict top docs per topic
> ----------------------------------------------
>
> Key: SPARK-9246
> URL: https://issues.apache.org/jira/browse/SPARK-9246
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Joseph K. Bradley
> Assignee: Meihua Wu
> Original Estimate: 72h
> Remaining Estimate: 72h
>
> For each topic, return top documents based on topicDistributions.
> Synopsis:
> {code}
> /**
> * @param maxDocuments Max docs to return for each topic
> * @return Array over topics of (sorted top docs, corresponding doc-topic weights)
> */
> def topDocumentsPerTopic(maxDocuments: Int): Array[(Array[Long], Array[Double])]
> {code}
> Note: We will need to make sure that the above return value format is Java-friendly.
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