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A plug-and-play, scikit-learn compatible implementation of Supervised Multi-Dimensional Scaling (SMDS) for automatic feature manifold discovery in LLMs.
pip install supervised-multidimensional-scaling
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.10.7>=7.4.7>=2.3.4>=2.3.3>=6.5.0>=1.7.2>=1.16.3>=1.52.2>=0.3.1supervised-multidimensional-scaling publishes 1 wheel and 1 source archive for version 0.9.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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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 .
The project does not publish external project URLs in its PyPI metadata.