cortado 1.0rc3

High performance ML library with ultra fast XGBoost implementation in pure Python

cortado: high performance 100% Python package for machine learning

Installation

cortado can be installed from pip:

pip install cortado

Main features:

• native support for both numeric and categorical data (covariates and factors)
• innovative feature engineering: virtual data columns and easy conversions between numeric and categorical data
• out of core data processing when dataframes are bigger than RAM
• implementation of XGBoost logistic in 500 lines of Python code, 3x 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
• more to come soon!

Demo notebooks on Kaggle:

• Quick start
• Cortado vs XGBoost
• Factors and covariates
• Out of core processing

How to contribute

All contributions and bug reports are welcome.