A Docker-based starter for MLflow experiment tracking with R. Uses the iris dataset and random forest as a demonstration - replace with your own data and models.
docker-compose upOpen http://localhost:5001 to view MLflow UI.
R/mlflow_example.R- Main R script with MLflow integrationdocker-compose.yml- MLflow server + R servicedocker/r-runtime/Dockerfile- R environment
Replace the Iris dataset and Random Forest model in mlflow_example.R with your data and algorithm. Update the TODO comments throughout the file.
There are some limitations to logging models with R around model signatures: mlflow/mlflow#4462