ZenML is an extensible, open-source MLOps framework designed to create reproducible machine learning pipelines. It enables data scientists and machine learning engineers to build, deploy, and manage machine learning workflows efficiently. ZenML abstracts the complexities of MLOps by providing a simple, yet powerful interface to orchestrate and automate various stages of the ML lifecycle.
When working with ZenML, you might encounter the issue where the output of a step is not saved to the artifact store. This is typically indicated by the error code STEP_OUTPUT_NOT_SAVED. The symptom manifests as missing output artifacts after a pipeline run, which can disrupt the workflow and prevent subsequent steps from accessing necessary data.
The STEP_OUTPUT_NOT_SAVED issue arises when a step in the ZenML pipeline is not correctly configured to save its output to the designated artifact store. This can happen due to misconfiguration in the pipeline setup or incorrect path specifications. The artifact store is a critical component in ZenML, responsible for storing and retrieving artifacts generated during pipeline execution.
To resolve the STEP_OUTPUT_NOT_SAVED issue, follow these steps:
Ensure that the artifact store is correctly configured in your ZenML setup. You can check the configuration by running:
zenml artifact-store list
Make sure the listed artifact store is the one intended for your pipeline.
Review the pipeline code to ensure that each step is configured to save its output correctly. Verify the output paths and ensure they align with the artifact store's structure.
Ensure that your environment has the necessary permissions to write to the artifact store. Test connectivity by attempting to manually upload a file to the store using:
zenml artifact-store upload --path /path/to/local/file --destination /path/in/artifact/store
For more detailed guidance on configuring artifact stores in ZenML, refer to the ZenML Artifact Store Documentation. If you continue to encounter issues, consider reaching out to the ZenML Community for support.
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