Context

class Context

Contains all the data + properties the user has passed to a check/suite, and validates it seamlessly.

Parameters

trainOptional[VisionData] , default: None

VisionData object, representing data the model was fitted on

testOptional[VisionData] , default: None

VisionData object, representing data the models predicts on

random_stateint

A seed to set for pseudo-random functions

with_displaybool , default: True

flag that determines if checks will calculate display (redundant in some checks).

__init__(train: Optional[VisionData] = None, test: Optional[VisionData] = None, random_state: int = 42, with_display: bool = True)

__new__(*args, **kwargs)

Attributes

Context.task_type	Return the common task type of the datasets.
Context.test	Return test if exists, otherwise raise error.
Context.train	Return train if exists, otherwise raise error.
Context.with_display	Return the with_display flag.

Methods

Context.assert_task_type(*expected_types)	Assert task_type matching given types.
Context.finalize_check_result(check_result, ...)	Run final processing on a check result which includes validation and conditions processing.
Context.get_data_by_kind(kind)	Return the relevant VisionData by given kind.
Context.have_test()	Return whether there is test dataset defined.

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context

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Context.task_type