IntelPython/scikit-learn_bench
scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.
PythonApache-2.0
Issues
- 0
- 3
- 1
Unable to run scikit-learn_bench on EMR system
#148 opened by remahariharan - 4
lot of memory allocations becomes bottleneck
#120 opened by jkr0103 - 0
Add support for single row inference cases
#131 opened by napetrov - 1
Benchmarks silently execute stock version if scikit-learn-intelex is not installed
#75 opened by michael-smirnov - 3
HistGradientBoostingEstimator
#82 opened by amueller - 0
reporting format of benchmarks
#12 opened by amueller - 7
- 5
dataset sizes for benchmarks
#13 opened by amueller - 1
- 1
xgboost benchmark datasets missing
#117 opened by xwu99 - 4
- 3
Make use of "--device(s)" for XGBoost
#102 opened by Alexsandruss - 0
- 3
svm.py fails with IndexError
#113 opened by mericas - 2
- 2
Error installing reqs for scikit-learn bench
#67 opened by winedarksea - 1
requirements list for environment setup.
#33 opened by teabagk7 - 1
Some links in README.md are broken
#54 opened by averbukh - 0
Change C to higher value
#2 opened by anton-malakhov - 2
benchmarking the linear kernel in SVC
#14 opened by amueller - 4
Benchmark linear models in higher dimensions
#7 opened by ogrisel