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

Project description

cortado: high performance 100% Python package for machine learning

cortado can be installed from pip:

pip install cortado

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!

All contributions and bug reports are welcome.

This version

1.0rc3 pre-release

Mar 9, 2020

1.0rc2 pre-release

Mar 7, 2020

1.0rc1 pre-release

Mar 6, 2020

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