Radiant MLHub Tutorials
This repository contains introductions and Jupyter Notebook examples on how to access Radiant MLHub API.
Run on Binder
You can run the Jupyter Notebook examples using Binder by clicking on the "launch binder" badge above or this link. The Binder environment will automatically install any dependencies required by the notebooks.
Note that the examples involving downloading assets will download those assets to the remote Binder environment and not to your local file system. To download these assets locally you must run the notebooks locally (see next section).
To run the notebooks locally:
Create & activate a virtual environment of your choice
pip install -r requirements_dev.txt
Run Jupyter Notebook server:
# Example notebooks are in the notebooks/ directory jupyter notebook notebooks/
You can access the full documentation of Radiant MLHub API here.
If you find these guides useful and would like to contribute, make a pull request or send us an email at email@example.com.