The first part is to build and run the Docker containers via Docker-compose:
Build containers (detached mode):
docker compose up --build -d
Build containers:
docker compose up --build
Cleanup:
docker compose down --volume
Simple NLP spacy training workflow is provided under tests
cd tests
pip3 install -r requirements.txt
python3 mlflow_test.py
Next check the MLFlow UI to see the trainning session being logged under NER Model - test experiment. One can also check MinIO for the artifacts being stored in the mlflow bucket.