Tutorial

In this tutorial, we will see how to use MLXP to run machine learning experiments.

• Introduction
  • The working example
• 1- Launching
  • The Context object
  • General setup
  • Launching locally using MLXP
  • Launching jobs to a scheduler using mlxpsub command
• 2- Logging
  • Logging metrics and artifacts
  • File structure of the logs
  • Checkpointing
  • Customizing the parent log directory
• 3- Versioning
  • 1- Using MLXP’s version manager
  • 2- Using the version manager with a job scheduler
• 3- Reading
  • 1. Creating a result database
  • 2. Querying the database
  • 3. The mlxp.DataFrame object
• Conclusion