Create lazily evaluated data sources (sauces) for scalable machine learning experiments. Currently only python 3 compatible.
Running machine learning experiments can become very annoying when you don't design them properly. Changing anything can require re-running minutes (if not hours) of scripts to re-process data for training. This can stifle experimenting, and stop research being fun.
We want to be able to change data representation as easily as we model design.
Lazychef tries to (one more sentence)
TODOs: examples working with scipy, tensorflow and keras
make sure to remove older versions of the package
python setup.py sdist bdist_wheel twine upload dist/*