wicker 0.0.12

An open source framework for Machine Learning dataset storage and serving

Wicker

Wicker is an open source framework for Machine Learning dataset storage and serving developed at Woven Planet L5.

Usage

Refer to the Wicker documentation's Getting Started page for more information.

Development

To develop on Wicker to contribute, set up your local environment as follows:

1. Create a new virtual environment
2. Do a pip install -r dev-requirements.txt to install the development dependencies
3. Run make test to run all unit tests
4. Run make lint-fix to fix all lints and make lint to check for any lints that must be fixed manually
5. Run make type-check to check for type errors

To contribute a new plugin to have Wicker be compatible with other technologies (e.g. Kubernetes, Ray, AWS batch etc):

1. Add your plugin into the wicker.plugins module as an appropriately named module
2. If your new plugin requires new external dependencies:
   1. Add a new extra-requires entry to setup.cfg
   2. Update dev-requirements.txt with any necessary dependencies to run your module in unit tests
3. Write a unit test in tests/ to test your module