metrics#

Utils module containing utilities for checks working with metrics.

Functions

`task_type_check`(model, dataset)	Check task type (regression, binary, multiclass) according to model object and label column.
`get_gain`(base_score, score, perfect_score, ...)	Get gain between base score and score compared to the distance from the perfect score.
`init_validate_scorers`(scorers, model, dataset)	Initialize scorers and return all of them as deepchecks scorers.
`get_default_scorers`(model_type[, class_avg])	Get default scorers based on model type.

Classes

`ModelType`	Enum containing supported task types.
`DeepcheckScorer`	Encapsulate scorer function with extra methods.

ProgressBarGroup.create_dummy

task_type_check