exceptions module

The set of custom exceptions produced by AutoMl package.

Classes

ApiInvocationException

Exception is thrown when Api invocation fails.

AuthorizationException

Exception related to invalid user config.

AutoMLExperimentException

Exception that happens during AutoML runtime.

BadArgumentException

Exception related to data validations.

CacheException

Exception for any cache issues.

ClientException

Exception related to client.

ConfigException

Exception related to invalid user config.

DataException

Exception related to data validations.

DataPrepValidationException

Exception related to dataprep validation service.

DataScriptException

Exception for issues with user's get_data script.

DataValidationException

Exception for issues caught while validating user data.

DataprepException

Exceptions related to Dataprep.

EarlyTerminationException

Exception for when user sends an interrupt.

FeatureUnavailableException

Specified feature is not available for user workspace type.

FeaturizationException

Exception for issues that arise during featurization.

ForecastingDataException

Exception related to data being malformed for a forecasting scenario.

InvalidRunState

Exception for trying to use a run that is not in a valid state for the given operation.

InvalidValueException

Exception related to data validations.

MalformedValueException

Exception related to data validations.

MetricCalculationException

Exception for metric not being able to be calculated.

MissingValueException

Exception related to data validations.

ModelExplanationException

Exception for failures while trying to explain the model.

ModelFitException

Exception for failure to fit the model.

NotFoundException

Exception for when a resource could not be found.

OnnxConvertException

Exception related to ONNX convert.

OnnxException

Exception for failures while trying to run ONNX operations.

OptionalDependencyMissingException

Exception for when an a soft dependency is missing.

PostTrainingException

Exception for failures after a model has already been fitted.

PreTrainingException

Exception for anything that goes wrong before fitting the user's model.

ProblemInfoException

Exception for calculating data characteristics.

ScenarioNotSupportedException

Exception for unsupported or unimplemented scenarios.

ServiceException

Exception related to JOS.

SystemException

Exception for internal errors that happen within the SDK.

TrainingException

Exception for issues that arise during model training.

ValidationException

Exception for any errors caught when validating inputs.