Metadata-Version: 2.1
Name: cortado
Version: 1.0rc1
Summary: High performance ML library with XGBoost implementation in pure Python
Home-page: https://github.com/Statfactory/cortado
Author: Adam Mlocek
License: MIT
Description: # 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
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
