This is the repository for AutoWoE library, developed by Sber AI Lab AutoML group. This library can be used for automatic creation of interpretable ML model based on feature binning, WoE features transformation, feature selection and Logistic Regression.
Authors: Vakhrushev Anton, Grigorii Penkin, Alexander Kirilin
Library setup can be done by one of three scenarios below:
pip install autowoe
First of all you need to install git and poetry.
# Load LAMA source code git clone https://github.com/sberbank-ai-lab/AutoMLWhitebox.git cd AutoMLWhiteBox/ # !!!Choose only one item!!! # 1. Recommended: Create virtual environment inside your project directory poetry config virtualenvs.in-project true # 2. Global installation: Don't create virtual environment poetry config virtualenvs.create false --local # For more information read poetry docs # Install WhiteBox poetry install
Usage tutorials are in Jupyter notebooks in the repository root. For parameters description take a look at
Bugs / Questions / Suggestions::