Enable System Metrics Recording in MLFLOW

[hiyuchang]

Description

As the title says.

Checklist

Please check the following items before code is ready to be reviewed.

• Code has passed all tests
• Docstrings have been added/updated in Google Style
• Documentation has been updated
• Code is ready for review

[gemini-code-assist]

Summary of Changes

Hello @hiyuchang, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request integrates MLflow's system metrics logging feature into the project. By activating this functionality, the system will automatically capture and record crucial performance metrics such as CPU and memory usage during MLflow experiments, offering a more complete operational context for model development and analysis.

Highlights

• MLflow System Metrics: Enabled automatic recording of system metrics (e.g., CPU, memory, disk I/O) for MLflow runs by calling mlflow.enable_system_metrics_logging().

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[gemini-code-assist]

Code Review

This pull request enables system metrics recording for MLflow. While the feature is useful, the current implementation enables it globally at the module import level, which can cause unintended side effects for users of the library who may not be using the MlflowMonitor. My review suggests moving this logic into the MlflowMonitor's initializer to scope the behavior correctly and make it active only when the MLflow monitor is explicitly used.