Metadata-Version: 2.1
Name: autowoe
Version: 1.3.2
Summary: Library for automatic interpretable model building (Whitebox AutoML)
Home-page: https://github.com/AILab-MLTools/AutoMLWhitebox
Author: Vakhrushev Anton
Author-email: btbpanda@gmail.com
Requires-Python: >=3.6.1,<4.0.0
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Typing :: Typed
Requires-Dist: StrEnum (>=0.4.7,<0.5.0)
Requires-Dist: jinja2
Requires-Dist: joblib
Requires-Dist: lightgbm
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pytest
Requires-Dist: pytz
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: seaborn
Requires-Dist: sphinx
Requires-Dist: sphinx-rtd-theme
Requires-Dist: tqdm (>=4.62.3,<5.0.0)
Project-URL: Repository, https://github.com/AILab-MLTools/AutoMLWhitebox
Description-Content-Type: text/markdown

## AutoWoE library

![PyPI - Downloads](https://img.shields.io/pypi/dm/autowoe?color=green&label=PyPI%20downloads&logo=pypi&logoColor=orange&style=plastic)


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:

1. Installation from PyPI:
```bash
pip install autowoe
```
2. Installation from source code

First of all you need to install [git](https://git-scm.com/downloads) and [poetry](https://python-poetry.org/docs/#installation).

```bash

# Load LAMA 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 in Jupyter notebooks in the repository root. For **parameters description** take a look at `parameters_info.md`.

**Bugs / Questions / Suggestions:**:
- Vakhrushev Anton (btbpanda@gmail.com)

