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[ML] Reduce peak memory usage and improve estimation for boosted tree training #781

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merged 3 commits into from
Oct 25, 2019
Merged

[ML] Reduce peak memory usage and improve estimation for boosted tree training #781

merged 3 commits into from
Oct 25, 2019

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tveasey
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@tveasey tveasey commented Oct 25, 2019

This makes two changes:

  1. It calculates the best split in the node statistics constructor, which was calculated as soon as the nodes were pushed to the priority queue (so effectively immediately). The upshot is we don't need to copy the feature bag.
  2. Fixes an over counting bug in memory estimation. There are at most number of leaves leaf statistics objects not number of nodes, as we were using.

droberts195
droberts195 approved these changes Oct 25, 2019
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LGTM

@tveasey tveasey merged commit a570218 into elastic:master Oct 25, 2019
@tveasey tveasey deleted the improve-memory-estimation branch October 25, 2019 10:35
tveasey added a commit to tveasey/ml-cpp-1 that referenced this pull request Oct 25, 2019
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[ML] Reduce peak memory usage and improve estimation for boosted tree…
5f65ca7 
… training (elastic#781)
@tveasey tveasey mentioned this pull request Oct 25, 2019
Merged
tveasey added a commit that referenced this pull request Oct 25, 2019
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[7.6][ML] Reduce peak memory usage and improve estimation for boosted…
620d299 
… tree training (#782)

Backport #781.
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@droberts195 droberts195 droberts195 approved these changes

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>enhancement :ml/DataFrameAnalysis review v7.6.0 v8.0.0
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