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Author:
David Holzmüller, Léo Grinsztajn, Ingo Steinwart
Summary:
ML models + benchmark for tabular data classification and regression
Latest version:
1.7.3
Required dependencies:
numpy
|
pandas
|
psutil
|
pytorch-lightning
|
scikit-learn
|
torch
|
torchmetrics
Optional dependencies:
adjusttext
|
autogluon-multimodal
|
autogluon-tabular
|
autorank
|
catboost
|
configspace
|
dask
|
dill
|
fire
|
hyperopt
|
kditransform
|
lightgbm
|
matplotlib
|
msgpack
|
myst-parser
|
numba
|
openml
|
openpyxl
|
patool
|
probmetrics
|
pytest
|
pytest-cov
|
pyyaml
|
ray
|
requests
|
seaborn
|
skorch
|
smac
|
sphinx
|
sphinx-rtd-theme
|
torch
|
tqdm
|
tueplots
|
xgboost
|
xlrd
|
xrfm
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