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Author:
Amirhessam Tahmassebi
License:
MIT
Summary:
SlickML: Slick Machine Learning in Python
Latest version:
0.4.0
Required dependencies:
bayesian-optimization
|
click
|
hyperopt
|
matplotlib
|
numpy
|
pandas
|
python-glmnet
|
scikit-learn
|
scipy
|
seaborn
|
setuptools
|
shap
|
statsmodels
|
xgboost
Optional dependencies:
assertpy
|
coverage
|
furo
|
ipykernel
|
jupytext
|
mock
|
mypy
|
myst-parser
|
pandas-stubs
|
pillow
|
poethepoet
|
pytest
|
pytest-cov
|
pytest-mock
|
ruff
|
sphinx
|
sphinx-autoapi
|
sphinx-design
|
tox
|
tox-uv
|
watchdog
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