ModelingConfig

class datarobotx.ModelingConfig(Mode=None, AutoML=None, AutoTS=None, BiasFairness=None)

Modeling configuration.

Parameters that default to ‘None’ (or are omitted by the user) are overridden to server-side defaults at runtime. Consult the DataRobot REST API and GUI documentation for additional information on each parameter.

Parameters:

• Mode (dict or ModelingModeConfig) – Autopilot modes and metric(s)

• AutoML (dict or ModelingAutoMLConfig) – AutoML additional modeling options

• AutoTS (dict or ModelingAutoTSConfig) – Time series modeling options

• BiasFairness (dict or ModelingBiasFairnessConfig) – Bias and Fairness modeling options

See also

DRConfig

Configuration object for DataRobot project and autopilot settings, also includes detailed examples of usage

Attributes:

AutoML	AutoML additional modeling options.
AutoTS	Time series modeling options.
BiasFairness	Bias and Fairness modeling options.
Mode	Autopilot modes and metric(s).

Inherited methods:

keys()	rtype: Collection[str]
to_dict()	Return configuration as a dict.

property AutoML: ModelingAutoMLConfig

AutoML additional modeling options.

Notes

AutoML : dict or ModelingAutoMLConfig

property AutoTS: ModelingAutoTSConfig

Time series modeling options.

Notes

AutoTS : dict or ModelingAutoTSConfig

property BiasFairness: ModelingBiasFairnessConfig

Bias and Fairness modeling options.

Notes

BiasFairness : dict or ModelingBiasFairnessConfig

property Mode: ModelingModeConfig

Autopilot modes and metric(s).

Notes

Mode : dict or ModelingModeConfig

to_dict()

Return configuration as a dict.

Return type:

Dict[str, Any]