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Performance improvement for preview ensemble algorithms (RF and ET) #1333
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/intelci: run |
icfaust
requested review from
Alexsandruss,
samir-nasibli and
KulikovNikita
as code owners
June 15, 2023 15:09
Co-authored-by: KulikovNikita <nikita.kulikov@intel.com>
Co-authored-by: KulikovNikita <nikita.kulikov@intel.com>
Co-authored-by: KulikovNikita <nikita.kulikov@intel.com>
/intelci: run |
/intelci: run |
ahuber21
previously requested changes
Jun 29, 2023
@Mergifyio rebase |
Alexsandruss
requested changes
Aug 2, 2023
Co-authored-by: Alexander Andreev <alexander.andreev@intel.com>
Co-authored-by: Alexander Andreev <alexander.andreev@intel.com>
Co-authored-by: Alexander Andreev <alexander.andreev@intel.com>
/intelci: run |
/intelci: run |
/intelci: run |
Common PreCommit job with oneapi-src/oneDAL#2441: http://intel-ci.intel.com/ee459771-cca8-f11a-93c5-a4bf010d0e2e |
Alexsandruss
approved these changes
Aug 28, 2023
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Description
This corrects performance problems associated with estimators_ construction in the random forest and extra trees fit methods for regression and classification, and corrects a performance problem associated with a default construction of a sample_weights vector (which is unnecessary). These yield significant performance improvements.
Changes proposed in this pull request: