Important: This video was created in October 2021. For the most up-to-date code examples, please refer to the Neptune-Docker integration docs.
You can use Neptune in any Python environment to log and retrieve ML metadata, including containerized Python scripts or applications.
In this guide, you will learn how to use the Neptune-client library inside Docker to log experimentation metadata.
neptune.ai is an MLOps stack component for experiment tracking. So we’re constantly working on making it easy to integrate with other parts of the workflow.
Other useful resources
Check the docs to see how to use Neptune with Docker.