Add MLFlow monitor

[pan-x-c]

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 @pan-x-c, 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!

I've implemented the core functionality to integrate MLflow as a monitoring solution, allowing for robust experiment tracking and management. This includes adding a dedicated MLflow monitor class, enhancing the configuration system to support flattening nested settings for better logging, and making monitor argument handling more flexible. These changes significantly improve the ability to track and reproduce machine learning experiments.

Highlights

• MLflow Integration: I've introduced a new MlflowMonitor class that integrates with MLflow for experiment tracking. This allows for logging run parameters, metrics, and managing the ML lifecycle directly through MLflow, enhancing reproducibility and visibility of experiments.
• Configuration Flattening Utility: I've added a flatten method to the Config class. This utility converts the nested configuration object into a flat dictionary with dot-separated keys, which is essential for logging comprehensive configuration parameters to MLflow in a structured way.
• Improved Monitor Configuration: I've refined the monitor configuration handling. The monitor_args field in MonitorConfig is now optional, and the system will automatically apply default arguments for a chosen monitor type if none are explicitly provided. This improves flexibility and reduces boilerplate for monitor setup.

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[gemini-code-assist]

Code Review

This pull request adds support for MLFlow as a monitoring tool. The changes include a new MlflowMonitor class, updates to the configuration handling to support monitor-specific arguments, and a new flatten method on the config object to facilitate logging parameters. My review focuses on improving the implementation of the new monitor classes for robustness and maintainability. I've suggested refactoring the environment variable setup in WandbMonitor, fixing a potential bug in MlflowMonitor's authentication setup, making the log_table implementation more explicit, and removing dead code.

[pan-x-c]

/unittest-all

[hiyuchang]

lgtm