scikit-learn_bench

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Fix issue #75: Benchmarks silently execute stock version if scikit-learn-intelex is not installed

1

Fix log not displayed in bench.py Before this fix the log isn't displayed in bench.py, because bench.py is running via subprocess, so the log config set in runner.py has no...

lulin789

This creates the necessary benchmarks necessary for the ExtraTreesClassifier and ExtraTreesRegressor. It also corrects some errors in the master associated with spelling mistakes or incorrect parameters.

icfaust

More specific write access message

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Associated with task: Fix sklearnex_bench errors if DATASETSROOT is not writeable - Functionally, the code should already be working as intended - a warning is raised because the path is...

ethanglaser

Download dataset scripts FIX + new option to download datasets from benchmark configs

1

This PR includes changes to the `datasets/load_datasets.py` script and related documentation. In more details: the previous version of the script had a bug that completely ignored any dataset name provided...

leriomaggio

Datasets used for producing benchmarks in scikit-learn intelex

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Hello, Can I get the information of datasets used for producing benchmark results(speedup values) for different scikit-learn algorithms as shown in figure under Acceleration sub section at https://github.com/intel/scikit-learn-intelex . Image...

vineel96

lot of memory allocations becomes bottleneck

4

I captured perf data for most of the algorithms and see there are lot many memory allocations happens during the run which become bottleneck. Please refer attached screenshot. Is there...

jkr0103

Tools such as TVM and ONNX have capabilities for optimizing existing models to achieve better inference- it would be beneficial to know their performance usecases and limitations

napetrov

Please add support for single row inference measurements in benchmarks. So far all cases are oriented on batch computation only

napetrov

Update dependency numpy

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# Description Update numpy dependency version. Currently avoiding using numpy 2.0 as a workaround. The problem should be fixed on the sklearnex side. Numpy 2.0 in env causes: ``` File...

samir-nasibli

Sync from sklearnex and oneDAL with performance section removed. # NEW TEMPLATE ## Description _Add a comprehensive description of proposed changes_ _List associated issue number(s) if exist(s): #6 (for example)_...

Alexsandruss