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Documentation Index

Fetch the complete documentation index at: https://zenml.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

Base abstraction in progress! We are actively working on the base abstraction for the Experiment Tracker, which will be available soon. As a result, their extension is not recommended at the moment. When you are selecting an Experiment Tracker for your stack, you can use one of the existing flavors. If you need to implement your own Experiment Tracker flavor, you can still do so, but keep in mind that you may have to refactor it when the base abstraction is released.

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Build your own custom experiment tracker

If you want to create your own custom flavor for an experiment tracker, you can follow the following steps:
  1. Create a class which inherits from the BaseExperimentTracker class and implement the abstract methods.
  2. If you need any configuration, create a class which inherits from the BaseExperimentTrackerConfig class add your configuration parameters.
  3. Bring both of the implementation and the configuration together by inheriting from the BaseExperimentTrackerFlavor class.
Once you are done with the implementation, you can register it through the CLI as: 
zenml experiment-tracker flavor register
It is important to draw attention to when and how these base abstractions are coming into play in a ZenML workflow.
  • The CustomExperimentTrackerFlavor class is imported and utilized upon the creation of the custom flavor through the CLI.
  • The CustomExperimentTrackerConfig class is imported when someone tries to register/update a stack component with this custom flavor. Especially, during the registration process of the stack component, the config will be used to validate the values given by the user. As Config object are inherently pydantic objects, you can also add your own custom validators here.
  • The CustomExperimentTracker only comes into play when the component is ultimately in use.
The design behind this interaction lets us separate the configuration of the flavor from its implementation. This way we can register flavors and components even when the major dependencies behind their implementation are not installed in our local setting (assuming the CustomExperimentTrackerFlavor and the CustomExperimentTrackerConfig are implemented in a different module/path than the actual CustomExperimentTracker).