# Blueprint repository
URL: https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/manage-experiments/blueprint-repo.html

> Describes the blueprint repository, a library of the modeling blueprints available for a selected experiment.

# Blueprint repository

| Tile | Description |
| --- | --- |
|  | Displays all blueprints, built and available to build, that are compatible with the experiment's data and settings. |

The blueprint repository is a library of modeling blueprints available for a selected experiment. Blueprints illustrate the tasks (the preprocessing steps, selected estimators, and in some models, postprocessing as well) used to build a model, not the model itself. Model blueprints listed in the repository have not necessarily been built yet, but could be as they are of a type that is compatible with the experiment's data and settings.

In addition to accessing the repository from the sidebar tile, you can also access it from a Leaderboard model's [Blueprint](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/model-blueprint.html) insight.

From the repository, select which blueprints to run and then [set the model parameters](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/manage-experiments/blueprint-repo.html#set-model-parameters). When selecting blueprints, you can use the [search](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/manage-experiments/blueprint-repo.html#search-the-repository) options to limit the list of models displayed.

Each blueprint is marked with [badges](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/leaderboard-ref.html) to help identify type. Click in the listing to expand the row and see the graphical task representation.

### Set model parameters

To create a new model from a blueprint in the repository, check the box next to each blueprint you want to run. Then, modify one or both of the fields in the dialog box:

- Feature list: From the dropdown select a feature list or use the recommended list. The options include the default lists and any lists you created .
- Sample size: Modify the sample size . Remember that when increasing the sample size, you must set values that leave data available for validation.

After verifying the parameter settings, click Train models to launch the new model run.

### Search the repository

There are three ways to filter the repository display to show only those blueprints matching the selected criteria.

- Click in the search box and begin typing a model/blueprint family, blueprint name, anynode, or a badge name. As you type, the list automatically narrows to those blueprints meeting your search criteria:
- Click abadgeto return all blueprints with that badge: Click again on the badge to remove it as a filter.
- UseEdit filtersto choose blueprints by model family and/or property. Available fields, and the settings for that field, are dependent on the project and/or model type.

---
