Use it when
- You want an all-in-one tool that tracks experiments (including hyperparameters, data, artifacts, and models), handles pipelines and serves models.
- You prefer to use a Python API for creating and configuring resources.
Example stacks
Airflow + MLflow stack
Installation
pip install clearml-agent