> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.umnai.com/ui-guides/models/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.umnai.com/_mcp/server.

# Model Lab

## Docs

- [Model Lab](https://docs.umnai.com/ui-guides/models/overview.md): Understand training resources, model outputs and evaluation.
- [Workspaces](https://docs.umnai.com/ui-guides/models/workspaces.md): Create a workspace to organise model development.
- [Model constraints](https://docs.umnai.com/ui-guides/models/constraints.md): Inspect constraints and select saved resources for training.
- [Training](https://docs.umnai.com/ui-guides/models/training-overview.md): Understand how induction builds an explainable model from a dataset.
- [Training compute configurations](https://docs.umnai.com/ui-guides/models/training-compute.md): Choose reusable compute resources for training.
- [Training configuration](https://docs.umnai.com/ui-guides/models/training-configuration.md): Define reusable settings for how a model learns from data.
- [Training jobs](https://docs.umnai.com/ui-guides/models/training-jobs.md): Run training and verify the resulting model.
- [Trained models](https://docs.umnai.com/ui-guides/models/models.md): Inspect a training output before deploying it.
- [Evaluate models](https://docs.umnai.com/ui-guides/deployment/evaluation.md): Evaluate a running deployment and interpret its metrics and plots.