Starting point for workshop on how to open source an MNIST model with mlhub
mlhub packages ML models so they are easily accessed, run, rebuilt and deployed. To make a git project repository mlhub-friendly, simply include a MLHUB.yaml configuration file. To help others understand your model, ideally also include a script to 1. get data eg. dataloader.py and 2. demonstrate what your model does eg. demo.py
A user can then install and run the pre-built model.
$ pip install mlhub$ ml install MNIST_mlhub$ ml configure MNIST_mlhub$ ml demo MNIST_mlhub