关于
The ML Experiment Logger is a specialized Claude Code skill designed to streamline the machine learning development lifecycle by automating the tedious aspects of experiment tracking. It establishes a standardized directory structure for every run, capturing configurations in YAML, metrics in JSON, and generating visual plots like loss curves and accuracy comparisons. By handling the automated logging and summarization, it allows data scientists and researchers to focus on high-level interpretation and strategic planning for subsequent model iterations.
