DataRobot Prime

DataRobot Prime allows the download of executable code approximating models. For more information about this feature, see the documentation within the DataRobot webapp. Contact your Account Executive or CFDS for information on enabling DataRobot Prime, if needed.

Approximate a Model

Given a Model you wish to approximate, Model.request_approximation will start a job creating several Ruleset objects approximating the parent model. Each of those rulesets will identify how many rules were used to approximate the model, as well as the validation score the approximation achieved.

rulesets_job = model.request_approximation()
rulesets = rulesets_job.get_result_when_complete()
for ruleset in rulesets:
    info = (, ruleset.rule_count, ruleset.score)
    print('id: {}, rule_count: {}, score: {}'.format(*info))

Prime Models vs. Models

Given a ruleset, you can create a model based on that ruleset. We consider such models to be Prime models. The PrimeModel class inherits from the Model class, so anything a Model can do, as PrimeModel can do as well.

The PrimeModel objects available within a Project can be listed by project.get_prime_models, or a particular one can be retrieve via PrimeModel.get. If a ruleset has not yet had a model built for it, ruleset.request_model can be used to start a job to make a PrimeModel using a particular ruleset.

rulesets = parent_model.get_rulesets()
selected_ruleset = sorted(rulesets, key=lambda x: x.score)[-1]
if selected_ruleset.model_id:
    prime_model = PrimeModel.get(selected_ruleset.project_id, selected_ruleset.model_id)
    prime_job = selected_ruleset.request_model()
    prime_model = prime_job.get_result_when_complete()

The PrimeModel class has two additional attributes and one additional method. The attributes are ruleset, which is the Ruleset used in the PrimeModel, and parent_model_id which is the id of the model it approximates.

Finally, the new method defined is request_download_validation which is used to prepare code download for the model and is discussed later on in this document.

Retrieving Code from a PrimeModel

Given a PrimeModel, you can download the code used to approximate the parent model, and view and execute it locally.

The first step is to validate the PrimeModel, which runs some basic validation of the generated code, as well as preparing it for download. We use the PrimeFile object to represent code that is ready to download. PrimeFiles can be prepared by the request_download_validation method on PrimeModel objects, and listed from a project with the get_prime_files method.

Once you have a PrimeFile you can check the is_valid attribute to verify the code passed basic validation, and then download it to a local file with download.

validation_job = prime_model.request_download_validation(enums.PRIME_LANGUAGE.PYTHON)
prime_file = validation_job.get_result_when_complete()
if not prime_file.is_valid:
    raise ValueError('File was not valid')'/home/myuser/drCode/')