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Author:
Federico Tiblias, 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:
1.6.5
Required dependencies:
matplotlib
|
notebook
|
numpy
|
pandas
|
plotly
|
scikit-learn
|
scikit-posthocs
|
scipy
|
streamlit
|
zadu
Optional dependencies:
torch
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