A service to receive model artefacts and training recipes to machine learning models asynchronously
Project architecture, motifs and goals are listed here
Requirements and todo-lists are listed here
To run first delivery tests, run on project root:
python -m test.conc
Test for both concurrency (through multiprocessing
library) and feature (enqueuing and dequeuing of a file-queue)