MLOps

GitLab Machine Learning Operations (MLOps) is set of tools designed to help with your machine learning workflows.

GitLab MLOps features include:

Model registry: Manage your machine learning models, along with associated metadata such as parameters, performance metrics, artifacts, and logs. For more information, see model registry.
Model experiments: Track and manage machine learning experiments in GitLab. An experiment is a collection of comparable model candidates, which are variations of the training of a machine learning model. For more information, see model experiments.

GitLab MLOps Python client

GitLab offers a Python client to interact with the GitLab MLOps features.

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