PartitioningDTBacktestConfig

class datarobotx.PartitioningDTBacktestConfig(index=None, validation_start_date=None, gap_duration=None, validation_duration=None, validation_end_date=None, primary_training_start_date=None, primary_training_end_date=None)

Date-time backtest 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:

• index (int) – The index from zero of the backtest specified by this object.

• validation_start_date (str) – A datetime string representing the start date of the validation data for this backtest.

• gap_duration (str) – A duration string representing the duration of the gap between the training and the validation data for this backtest.

• validation_duration (str) – A duration string representing the duration of the validation data for this backtest.

• validation_end_date (str) – A datetime string representing the end date of the validation data for this backtest.

• primary_training_start_date (str) – A datetime string representing the start date of the primary training data for this backtest.

• primary_training_end_date (str) – A datetime string representing the end date of the primary training data for this backtest.

See also

DRConfig

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

Attributes:

gap_duration	A duration string representing the duration of the gap between the training and the validation data for this backtest.
index	The index from zero of the backtest specified by this object.
primary_training_end_date	A datetime string representing the end date of the primary training data for this backtest.
primary_training_start_date	A datetime string representing the start date of the primary training data for this backtest.
validation_duration	A duration string representing the duration of the validation data for this backtest.
validation_end_date	A datetime string representing the end date of the validation data for this backtest.
validation_start_date	A datetime string representing the start date of the validation data for this backtest.

Inherited methods:

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

property gap_duration: str

A duration string representing the duration of the gap between the training and the validation data for this backtest.

Notes

gap_duration : str

property index: int

The index from zero of the backtest specified by this object.

Notes

index : int

property primary_training_end_date: str

A datetime string representing the end date of the primary training data for this backtest.

Notes

primary_training_end_date : str

property primary_training_start_date: str

A datetime string representing the start date of the primary training data for this backtest.

Notes

primary_training_start_date : str

to_dict()

Return configuration as a dict.

Return type:

Dict[str, Any]

property validation_duration: str

A duration string representing the duration of the validation data for this backtest.

Notes

validation_duration : str

property validation_end_date: str

A datetime string representing the end date of the validation data for this backtest.

Notes

validation_end_date : str

property validation_start_date: str

A datetime string representing the start date of the validation data for this backtest.

Notes

validation_start_date : str