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A scalable manifold learning (SUDE) method that can cope with large-scale and high-dimensional data in an efficient manner.
pip install sude
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.57>=1.21>=1.3.2>=1.8sude publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14, 3.8, 3.9.
PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .