Metadata-Version: 2.1
Name: autowoe
Version: 1.3.0
Summary: Library for automatic interpretable model building (Whitebox AutoML)
Home-page: https://github.com/sberbank-ai-lab/AutoMLWhitebox
Author: Vakhrushev Anton
Author-email: AGVakhrushev@sberbank.ru
Requires-Python: >=3.6.1,<4.0.0
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: Russian
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/sberbank-ai-lab/AutoMLWhitebox
Description-Content-Type: text/markdown

## Sberbank version of AutoWoE

![GitHub all releases](https://img.shields.io/github/downloads/sberbank-ai-lab/AutoMLWhitebox/total?color=green&logo=github&style=plastic)
![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 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:

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/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 `parameters_info.md`.

**Bugs / Questions / Suggestions:**:
- Vakhrushev Anton (AGVakhrushev@sberbank.ru)

