Canvas#
One-click "Add To Vault"#
The platform simplifies the process of saving and archiving models with its "Add to Vault" feature. From either the chart detail or grid detail views, users can select any saved epoch of a model and choose to add it to the vault.
This action securely stores the design canvas, the trained weights, input features, the schema used for data preparation, and all other essential components needed for future predictions and audits. By archiving these elements, users can ensure that their models are preserved in a complete and retrievable state, allowing for easy future reference, deployment, or analysis. This comprehensive approach to model management supports both ongoing development and long-term project maintenance.
Model Registry (Vault)#
The Vault is a model registry which serves as a centralized repository for all saved models. When a model is added to the vault, all vault data are copied from the training machine to this central storage. IT administrators benefit from a single point of management for backups and data integrity, simplifying the maintenance process.
The vault enables efficient tracking and management of models, providing detailed insights and tools for optimizing performance while supporting long-term strategy and decision-making.
Saved Model Detail#
When a model is added to the vault, all associated data—including the design canvas, trained weights, input features, and the schema used for data preparation, are copied to a centralized storage location.


