Model Versioning
Designed for Faster Iteration
Save and promote your best-performing model versions ahead of production. Easily track changes throughout your model lifecycle and compare the performance of models in production.
Centralized, Managed View of Your Model’s Journey to Production
Comet MPM tracks the performance of models in production by tracking data drift and accuracy or error metrics when available. You can report on data collected in training as a benchmark for metrics tracked in production, so you can report on these metrics more quickly and accurately than you can using separate tools.
Model Stage Management
Easily tag and identify model stages from development and staging to production. Create custom tags to identify your best performing model, categorize different model versions and inform your deployment process.
Track and Document Model Changes
Automatically track every change to your model’s history. Track model changes and create detailed comments. You’ll always be on top of your model’s history.
Model Versioning and Lineage
Model Lifecycle
CI/CD Integration (webhooks)
Observability for Models Across the ML Lifecycle
Model Lineage For Reproducibility and Validation
Track your model’s full journey, from the original dataset used to your training parameters and metrics, so you can build the best model for the task.
Full Transparency into Model Data
A model can be any collection of files or folders you choose. After you log a model, you can see the latest version and all previous versions.
Team Collaboration Made Easy
Register models to a workspace to share them with a team. Link them to datasets, deployment stages, and performance.
