Comments (2)
amueller
commented on May 30, 2024
1
The point is not what DAAL does but whether the benchmark is fair. If you want to compare solving a linear SVM between daal and scikit-learn, you should be using LinearSVC on the sklearn side.
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bibikar
commented on May 30, 2024
DAAL will only work in the dual space for SVM, so daal4py's patches patch SVC instead of LinearSVC. We could possibly add an option to benchmark LinearSVC instead, or only choose SVC by default if DAAL is present. What do you think?
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Related Issues (20)
- Make use of "--device(s)" for XGBoost HOT 3
- svm.py fails with IndexError HOT 3
- xgboost benchmark datasets missing HOT 1
- reporting format of benchmarks
- lot of memory allocations becomes bottleneck HOT 4
- Facing issues while running benchmark on Ubuntu 18.04 HOT 4
- dataset sizes for benchmarks HOT 5
- Add support for single row inference cases
- Integrate support for competitive model compilation frameworks(TVM and ONNX)
- Datasets used for producing benchmarks in scikit-learn intelex HOT 7
- The error messages when running benchmark are ignored in some cases HOT 1
- Change C to higher value
- requirements list for environment setup. HOT 1
- Some links in README.md are broken HOT 1
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- HistGradientBoostingEstimator HOT 3
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