cortado 1.0rc2

High performance ML library with XGBoost implementation in pure Python

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