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