STAC ML Model Extension Guide
A demo for creating a STAC collection with the ML Model extension
INTRO:
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How to get involved
If you want to contribute or modify content, read the Get Involved page.
If you have a question or idea for this guide, please start a Github Discussion.
Running examples
Most of the data formats covered in this guide have a Jupyter Notebook example that covers the basics of how to read and write the given format. At the top of each notebook is a link to an environment.yml file that describes what libraries need to be installed for the notebook to run correctly. You can use Conda or Mamba (a successor to Conda with faster package installs) to install the environment needed to run the notebook.