DataRobot—through its blueprints and documentation—provides complete transparency for how models are built. And blueprints show the preprocessing steps, algorithms, and all associated parameters. Complete documentation and references to any applicable academic literature are linked from each blueprint.
DataRobot provides missing values reports and full compliance reports for model risk teams.
Additionally, DataRobot offers a suite of interpretability tools to help you understand your model. Feature Impact identifies which features are driving your model, while the Feature Effects tools use partial dependence to show how a specific feature affects the target. Finally, Prediction Explanations work at the level of individual examples to show exactly how the model is making a decision.
All of these work together to ensure you can reproduce your model as well as understand how it is working.