PyPI page
Author:
Hugo Parra
License:
MIT
Summary:
4-step AutoML pipeline for tabular data: model screening, SHAP feature selection, and Optuna HPO
Latest version:
0.3.0
Required dependencies:
h2mare
|
joblib
|
loguru
|
matplotlib
|
numpy
|
optuna
|
pandas
|
polars
|
pyarrow
|
scikit-learn
|
scipy
|
seaborn
|
shap
|
statsmodels
|
tqdm
Optional dependencies:
cartopy
|
catboost
|
h2mare
|
lightgbm
|
polars
|
xgboost
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