Metadata-Version: 2.1
Name: cortado
Version: 1.0rc2
Summary: High performance ML library with XGBoost implementation in pure Python
Home-page: https://github.com/Statfactory/cortado
Author: Adam Mlocek
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: numba
Requires-Dist: pandas

# cortado: high performance 100% Python package for machine learning

## Main features:
* native support for both numeric and categorical data
* innovative feature engineering: virtual data columns and easy conversions between numeric and categorical data
* out of core data processing: process dataframes bigger than RAM
* implementation of XGBoost logistic in 500 lines of Python code, faster than original C++ implementation (using Numba jit under the hood)
* easy to extend, written in functional style for easy composition
* works well with pandas dataframes

## Demo notebooks:
* intro


