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.

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DeepchecksValueError