Exceptions

Submodules

• exceptions

Package Contents

Contents

exception evalml.exceptions.AutoMLSearchException

Exception raised when all pipelines in an automl batch return a score of NaN for the primary objective.

exception evalml.exceptions.ComponentNotYetFittedError

An exception to be raised when predict/predict_proba/transform is called on a component without fitting first.

exception evalml.exceptions.DataCheckInitError

Exception raised when a data check can’t initialize with the parameters given.

exception evalml.exceptions.EnsembleMissingPipelinesError

An exception raised when an ensemble is missing estimators (list) as a parameter.

exception evalml.exceptions.MethodPropertyNotFoundError

Exception to raise when a class is does not have an expected method or property.

exception evalml.exceptions.MissingComponentError

An exception raised when a component is not found in all_components()

exception evalml.exceptions.NoPositiveLabelException

Exception when a particular classification label for the ‘positive’ class cannot be found in the column index or unique values

exception evalml.exceptions.NullsInColumnWarning

Warning thrown when there are null values in the column of interest

exception evalml.exceptions.ObjectiveCreationError

Exception when get_objective tries to instantiate an objective and required args are not provided.

exception evalml.exceptions.ObjectiveNotFoundError

Exception to raise when specified objective does not exist.

exception evalml.exceptions.ParameterNotUsedWarning(components)

Warning thrown when a pipeline parameter isn’t used in a defined pipeline’s component graph during initialization.

exception evalml.exceptions.PipelineNotFoundError

An exception raised when a particular pipeline is not found in automl search results

exception evalml.exceptions.PipelineNotYetFittedError

An exception to be raised when predict/predict_proba/transform is called on a pipeline without fitting first.

exception evalml.exceptions.PipelineScoreError(exceptions, scored_successfully)

An exception raised when a pipeline errors while scoring any objective in a list of objectives.

Parameters

• exceptions (dict) – A dictionary mapping an objective name (str) to a tuple of the form (exception, traceback). All of the objectives that errored will be stored here.

• scored_successfully (dict) – A dictionary mapping an objective name (str) to a score value. All of the objectives that did not error will be stored here.

wine exceptions