[GitHub] srowen commented on issue #21632: [SPARK-19591][ML][MLlib] Add sample weights to decision trees

2019-01-28 Thread GitBox
srowen commented on issue #21632: [SPARK-19591][ML][MLlib] Add sample weights 
to decision trees
URL: https://github.com/apache/spark/pull/21632#issuecomment-458204993
 
 
   That's fine @imatiach-msft just open another PR for the same JIRA. We 
usually put `[FOLLOWUP]` in the title and link to the previous PR for 
discoverability.


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[GitHub] srowen commented on issue #21632: [SPARK-19591][ML][MLlib] Add sample weights to decision trees

2019-01-27 Thread GitBox
srowen commented on issue #21632: [SPARK-19591][ML][MLlib] Add sample weights 
to decision trees
URL: https://github.com/apache/spark/pull/21632#issuecomment-458001245
 
 
   Is there a good reason to scale it by the square of the samples? if not, 
yeah, worth a follow-up. If there is a good reason, then is there a case in the 
tests here where epsilon becomes really large, like of the same order of 
magnitude as the expected values? I don't think the tests have ~1e8 samples. Up 
to your judgment.


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[GitHub] srowen commented on issue #21632: [SPARK-19591][ML][MLlib] Add sample weights to decision trees

2019-01-24 Thread GitBox
srowen commented on issue #21632: [SPARK-19591][ML][MLlib] Add sample weights 
to decision trees
URL: https://github.com/apache/spark/pull/21632#issuecomment-457420873
 
 
   Merged to master


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[GitHub] srowen commented on issue #21632: [SPARK-19591][ML][MLlib] Add sample weights to decision trees

2019-01-09 Thread GitBox
srowen commented on issue #21632: [SPARK-19591][ML][MLlib] Add sample weights 
to decision trees
URL: https://github.com/apache/spark/pull/21632#issuecomment-452727321
 
 
   This is getting closer, but I think there are still a number of unresolved 
comments from the round a few weeks ago.


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