There is a manual model option in DataRobot Python API. You can select it using the mode parameter in project.set_target (API Link - set_target ). This command will create blueprints from different model types (elastic net, xgboost etc specific to your dataset) and store them in the repository. You can then access all of the generated blueprints from the repository using get_blueprints function and run only the ones that you need.
Also, there is a Quick mode option in set_target where DataRobot will automatically run the most relevant blueprints for a particular dataset. This is optimized to give maximum accuracy without going through the whole autopilot process.