Documentation for AbstractEvaluator

[ArlindKadra]

Auto-PyTorch/autoPyTorch/evaluation/abstract_evaluator.py

Lines 202 to 220 in db70a43

	class AbstractEvaluator(object):
	def __init__(self, backend: Backend,
	queue: Queue,
	metric: autoPyTorchMetric,
	budget: float,
	budget_type: str = None,
	pipeline_config: Optional[Dict[str, Any]] = None,
	configuration: Optional[Configuration] = None,
	seed: int = 1,
	output_y_hat_optimization: bool = True,
	num_run: Optional[int] = None,
	include: Optional[Dict[str, Any]] = None,
	exclude: Optional[Dict[str, Any]] = None,
	disable_file_output: Union[bool, List[str]] = False,
	init_params: Optional[Dict[str, Any]] = None,
	logger_port: Optional[int] = None,
	all_supported_metrics: bool = True,
	search_space_updates: Optional[HyperparameterSearchSpaceUpdates] = None
	) -> None:

It would be nice to document the class constructor arguments in the future to better understand arguments that might not be clear just from their name.