AutoWoE library
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This is the repository for AutoWoE library, developed by LightAutoML 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:
- Installation from PyPI:
pip install autowoe
For the optional S3 client, install with pip install 'autowoe[s3]' instead.
- Installation from source code
First of all you need to install git and poetry.
# Load WhiteBox source code
git clone https://github.com/AILab-MLTools/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 Jupyter notebooks in the examples/ directory. Run them from that directory so their ./data/ paths resolve. For parameters description take a look at parameters_info.md.
Bugs / Questions / Suggestions:
- Seek prompt advice in Telegram group.
- Open bug reports and feature requests on GitHub issues.
- Also follow our Telegram channel
2 maintainers
Metadata
2 maintainers
Release files for AutoWoE 1.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autowoe-1.4.0-1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / autowoe-1.4.0-1-py3-none-any.whl
| Download URL | autowoe-1.4.0-1-py3-none-any.whl |
|---|---|
| Size | 217.3 kB |
| Tags | Python 3 |
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