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Author:
Jules Kreuer, Christopher Kolberg, Jonas Huurdeman, Sofiane Ouaari, Katharina Eggensperger, Nico Pfeifer
License:
Prior Labs License Version 1.1
Summary:
TabPFN-Wide: Extension of the TabPFN-2 foundation model, specifically designed for wide datasets (many features, few samples).
Latest version:
0.1.0
Required dependencies:
numpy
|
scikit-learn
|
scipy
|
tabpfn
|
torch
Optional dependencies:
matplotlib
|
openml
|
pandas
|
scipy
|
seaborn
|
tabicl
|
tqdm
|
wandb
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