Further reading
To further your knowledge, you can consult the following resources and documentation:
- The MLflow Command-Line Interface documentation: https://www.mlflow.org/docs/latest/cli.html
- The MLflow PyTorch autologging documentation: https://www.mlflow.org/docs/latest/tracking.html#pytorch-experimental
- The MLflow PyTorch model flavor documentation: https://www.mlflow.org/docs/latest/python_api/mlflow.pytorch.html#module-mlflow.pytorch
- MLflow and PyTorch — Where Cutting Edge AI meets MLOps: https://medium.com/pytorch/mlflow-and-pytorch-where-cutting-edge-ai-meets-mlops-1985cf8aa789
- Controlled Experiments in Machine Learning: https://machinelearningmastery.com/controlled-experiments-in-machine-learning/
