# Blueprint

> Blueprint - How to use blueprints, which show the high-level end-to-end procedure for fitting the
> model, including preprocessing steps, algorithms, and post-processing.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-04-24T16:03:56.753696+00:00` (UTC).

## Primary page

- [Blueprint](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/model-blueprint.html): Full documentation for this topic (HTML).

## Related documentation

- [NextGen UI documentation](https://docs.datarobot.com/en/docs/workbench/index.html): Linked from this page.
- [Workbench](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/index.html): Linked from this page.
- [Predictive experiments](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/index.html): Linked from this page.
- [Evaluate models](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/index.html): Linked from this page.
- [a graphical representation](https://docs.datarobot.com/en/docs/api/reference/public-api/blueprints.html): Linked from this page.
- [blueprint repository](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/manage-experiments/experiment-add.html#blueprint-repository): Linked from this page.
- [Edit the blueprint](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/manage-experiments/experiment-cml.html): Linked from this page.

## Documentation content

# Blueprint

| Tab | Description |
| --- | --- |
| Details | Provides a graphical representation of the preprocessing steps (tasks), modeling algorithms, and post-processing steps that go into building a model. |

During the course of building predictive models, DataRobot runs several different versions of each algorithm and tests thousands of possible combinations of data preprocessing and parameter settings. (Many of the models use DataRobot proprietary approaches to data preprocessing.) The result of this testing is provided in the Blueprints tab.

Blueprints are ML pipelines containing preprocessing steps, modeling algorithms, and post-processing steps. They can be generated either automatically as part of Autopilot or manually/programmatically from the model repository.

Click on any task in the blueprint to see more detail, including more complete model documentation (by clicking DataRobot Model Docs from inside the blueprint’s task).

Additionally, from the Blueprint tab you can:

- Open the blueprint repository to access the library of blueprints that are compatible with the experiment's data and settings.

- Edit the blueprint to create new, custom blueprints using built-in tasks and custom Python/R code.