Metadata-Version: 2.4
Name: supervised-multidimensional-scaling
Version: 0.5.3
Summary: A plug-and-play, scikit-learn compatible implementation of Supervised Multi-Dimensional Scaling (SMDS) for automatic feature manifold discovery in LLMs.
Author: Vinayak Joshi, Jan Karas, Anton Kantsemal, Simon Kistner, Arwin Sanee Ghomi
License-File: LICENSE
License-File: NOTICE.txt
Requires-Python: >=3.12
Requires-Dist: notebook>=7.4.7
Requires-Dist: numpy>=2.3.4
Requires-Dist: scikit-learn>=1.7.2
Requires-Dist: scipy>=1.16.3
Requires-Dist: zadu>=0.3.1
