scikit-learn-intelex
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Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
oneAPI: 2021.3 Also check #758 Running pca_batch with defaultDense eigenvalues [[3.39562004 1.37148866 0.23289129]] eigenvectors [[ 0.3902121 -0.52491954 0.32817531 -0.47574208 0.48802094] [ 0.5068408 -0.09939021 -0.67516516 0.40501089 0.33667814] [-0.74898164 -0.46713755 -0.197722 0.16702423...
oneAPI: 2021.3 Data: 0.0,1.0,0.0,7.0,0.0 2.0,0.0,3.0,4.0,5.0 4.0,0.0,0.0,6.0,7.0 8.0,0.0,1.0,5.0,7.0 For distributed version, input one line data from above dataset for a rank. Running pca_batch with svdDense eigenvalues [[3.39562004 1.37148866 0.23289129]] eigenvectors [[-0.3902121...
The default behavior of d4p will normalize input data before applying PCA in both batch and distributed mode. In sklearn and pyspark, PCA will not normalize data by default. The...
**Describe the issue** It is a miss in your benchmarking. I think you should look at the "time-series-bakeoff" for others like it. DTW is a pain, and very well known...
**Describe the bug** daal4py PCA with svdDense method error in distributed mode **To Reproduce** Use python code and dataset https://drive.google.com/file/d/1Bii4qZLN-Qi6Wtjz53gYDS_vt7lKm_Ki/view?usp=sharing And run ./run.sh in daal4py environment **Expected behavior** use defaultDense...

**Describe the bug** daal4py SVC performance drops in first run and becomes slower than sklearn if probability=True passed to params. **To Reproduce** Code to reproduce the behavior: ```python from sklearn.datasets...
- Support of device offload using old `daal4py.oneapi.sycl_context` control - Fix of data transfer from oneDAL to Python