[SPARK-14371] OnlineLDAOptimizer should not collect stats for each doc in mini-batch to driver

• Type: Improvement
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 2.3.0
• Component/s: MLlib
• Assignee: Valeriy Avanesov
• Reporter: Joseph K. Bradley
• Shepherd: Joseph K. Bradley
• Created: 04/Apr/16 18:20
• Updated: 19/Oct/17 07:39
• Resolved: 19/Oct/17 07:39

Description

See this line: https://github.com/apache/spark/blob/5743c6476dbef50852b7f9873112a2d299966ebd/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala#L437

The second element in each row of "stats" is a list with one Vector for each document in the mini-batch. Those are collected to the driver in this line:
https://github.com/apache/spark/blob/5743c6476dbef50852b7f9873112a2d299966ebd/mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala#L456

We should not collect those to the driver. Rather, we should do the necessary maps and aggregations in a distributed manner. This will involve modify the Dirichlet expectation implementation. (This JIRA should be done by someone knowledge about online LDA and Spark.)

Issue Links

• blocks: SPARK-22111 OnlineLDAOptimizer should filter out empty documents beforehand
• is required by: SPARK-5572 LDA improvement listing
• links to: [Github] Pull Request #18924 (akopich)