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supervised-multidimensional-scaling


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Author: Vinayak Joshi, Jan Karas, Anton Kantsemal, Simon Kistner, Arwin Sanee Ghomi
Summary: A plug-and-play, scikit-learn compatible implementation of Supervised Multi-Dimensional Scaling (SMDS) for automatic feature manifold discovery in LLMs.
Latest version: 0.9.1
Required dependencies: matplotlib | notebook | numpy | pandas | plotly | scikit-learn | scipy | streamlit | zadu

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