scikit-learn-intelex
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intel
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
[](https://renovatebot.com) This PR contains the following updates: | Package | Change | Age | Adoption | Passing | Confidence | |---|---|---|---|---|---| | [numpy](https://www.numpy.org) ([source](https://togithub.com/numpy/numpy)) | `==1.19.5` -> `==1.22.0` |...
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Allow k_means param n_init to accept string 'auto' in addition to integers, added in version 1.2
Hi, Currently daal4py accepts only CSV, np.array and pandas dataframes. If data more than to fit into memory and located in databases different solutions are come up such as polars...
`conda list` command raises error if develop versions of daal4py and sklearnex are installed in conda environment: > CondaError: Expected exactly one \`egg-info\` directory in '/user_dir/scikit-learn-intelex', via egg-link 'lib/python3.10/site-packages/daal4py.egg-link'. Instead...
Originates from https://github.com/intel/scikit-learn-intelex/issues/968 Source distribution will make possible to build daal4py/sklearnex locally if package for selected OS/python version is not available, but requires to have build dependencies like compiler.
Scikit-learn (0.23 version) test `scikit-learn/sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results` fails because of instability of kmeans. The iterations number is different from run to run.
The first part of the task is to find a real-life big data problem or competition on Kaggle which solution relies on the functionality available in daal4py-optimized Scikit-learn. I.e. the...
