Megatron 0.2.1

A computation graph library for feature engineering with Numpy data

Megatron is a framework for building computation graphs for
feature engineering in machine learning, with Numpy arrays as the data type.
Use Megatron if you want to:
- Do feature engineering in a modular and functional way, building up features one step at a time
- Use disk space to save time by caching feature sets for easy reloading
- Train feature engineering modules on training data and apply them to testing data
- Write custom functions for complex transformations, but access built-in functions for quick and common transformations
- Build feature engineering like you build Keras models (the API is heavily inspired by Keras)
Or any combination of these.
Megatron is distributed under the MIT license.