errors#

Module with all deepchecks error types.

Exceptions

DeepchecksValueError

Exception class that represent a fault parameter was passed to Deepchecks.

DeepchecksNotSupportedError

Exception class that represents an unsupported action in Deepchecks.

DeepchecksProcessError

Exception class that represents an issue with a process.

NumberOfFeaturesLimitError

Represents a situation when a dataset contains too many features to be used for calculation.

DatasetValidationError

Represents unappropriate Dataset instance.

ModelValidationError

Represents unappropriate model instance.

DeepchecksNotImplementedError

Exception class that represent a function that was not implemnted.

ValidationError

Represents more specific case of the ValueError (DeepchecksValueError).

DeepchecksBaseError

Base exception class for all 'Deepchecks' error types.

NotEnoughSamplesError

Represents a failure in calculation due to insufficient amount of samples.

DeepchecksTimeoutError

Represents a situation when a computation takes too long and is interrupted.