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Posted to issues@hivemall.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2019/07/26 10:42:00 UTC

[jira] [Commented] (HIVEMALL-245) Refactor RandomForest for Sparse Data handling

    [ https://issues.apache.org/jira/browse/HIVEMALL-245?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16893720#comment-16893720 ] 

ASF GitHub Bot commented on HIVEMALL-245:
-----------------------------------------

myui commented on pull request #198: [WIP][HIVEMALL-245] Refactor RandomForest for Sparse Data handling
URL: https://github.com/apache/incubator-hivemall/pull/198
 
 
   ## What changes were proposed in this pull request?
   
   Refactor RandomForest for Sparse Data handling
   
   ## What type of PR is it?
   
   Refactoring
   
   ## What is the Jira issue?
   
   https://issues.apache.org/jira/browse/HIVEMALL-245
   
   ## How was this patch tested?
   
   unit tests, manual tests on EMR
   
   ## Checklist
   
   (Please remove this section if not needed; check `x` for YES, blank for NO)
   
   - [x] Did you apply source code formatter, i.e., `./bin/format_code.sh`, for your commit?
   - [ ] Did you run system tests on Hive (or Spark)?
   
 
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> Refactor RandomForest for Sparse Data handling
> ----------------------------------------------
>
>                 Key: HIVEMALL-245
>                 URL: https://issues.apache.org/jira/browse/HIVEMALL-245
>             Project: Hivemall
>          Issue Type: Improvement
>    Affects Versions: 0.5.2
>            Reporter: Makoto Yui
>            Assignee: Makoto Yui
>            Priority: Major
>             Fix For: 0.6.0
>
>
> * Fix attribute to use RoaringBitmap instead of AttributeType[]
>  * Support pruning of redundant decision tree nodes
>  * Support the default value for missing values
>  * Fix split handling of sparse numeric values
>  ** problem: split does not occur when column values have a single value
>  *** if(x<=1.0) \{ .. } else \{ ... } never split where sparse x is already 1.0
>  ** if there are only a single value for a column, then treat it as nominal value (?)



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