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A modern, weighted k-nearest neighbors algorithm with learned feature importance and fast CPU inference.
pip install smart-knn
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.22>=1.2>=1.8.0>=1.2>=0.60smart-knn publishes 1 wheel and 1 source archive for version 0.2.3. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .