Ensure you have a docker/config.env with the necessary config keys (any ${VARIABLE} in the docker/docker-compose.yml file)

tasks/docker-start.sh

Configure connection credentials

1. PostgreSQL credentials

   1. Ensure the new postgresql instance has a user for the optuna db and a different one for the mlflow db
   2. Create a new database called optuna and another called mlflow (if they don't already exist)

2. MinIO credentials

   1. create a new access key either using mc CLI client or the console terminal (usually found at localhost:9001)
   2. create a new bucket called mlflow

3. Update docker/config.env with the newly-updated credentials

4. docker-compose down and repeate step 2.

5. Update connection variables in create_study.py

python -m pip install -r requirements.txt

python run_trials.py

Check run in mlflow tracking URL