关于
This skill simplifies the machine learning lifecycle by automating the setup of experiment tracking tools like MLflow and Weights & Biases (W&B). It handles environment configuration, library installation, and server initialization while providing ready-to-use code snippets for logging parameters, metrics, and model artifacts. Whether you are starting a new project or integrating tracking into an existing one, this skill ensures reproducible results and easy comparison of model runs with minimal manual effort.