This repo is intended to keep a set of examples/tutorials on how to use Pycoal's features. Currently, it provides a jupter notebook which can be run in order to get a feel for what kind of thing we can do with pycoal.
Simply execute
$ pip install -r requirements.txt
Just run the jupter server from the current directory
$ jupter notebook
# This will open your browser where you should load the file tutorial.ipynb
You can then navigate your way through tutorial.ipynb with the result being numerous trained models which can then use as input to pycoal's MineralClassification.
pycoal_examples is licensed permissively under the Apache License v2.0. A copy of which ships with this repository.