delete_explainability_export(
explainability_export_arn: Arn,
*,
config_overrides: Optional[forecastClientConfig] = None,
) -> None
Deletes an Explainability export.
Parameters:
-
explainability_export_arn
(Arn)
–
The Amazon Resource Name (ARN) of the Explainability export to delete.
Raises:
Source code in docs_src/capo_forecast/_services/forecast.py
| def delete_explainability_export(
self,
explainability_export_arn: "capo_forecast.types.arn.Arn",
*,
config_overrides: Optional[forecastClientConfig] = None,
) -> None:
"""<p>Deletes an Explainability export.</p>
Args:
explainability_export_arn: <p>The Amazon Resource Name (ARN) of the Explainability export to delete. </p>
Raises:
capo_forecast.errors.invalid_input_exception.InvalidInputException: <p>We can't process the request because it includes an invalid value or a value that exceeds the valid range.</p>
capo_forecast.errors.resource_in_use_exception.ResourceInUseException: <p>The specified resource is in use.</p>
capo_forecast.errors.resource_not_found_exception.ResourceNotFoundException: <p>We can't find a resource with that Amazon Resource Name (ARN). Check the ARN and try again.</p>
capo_forecast.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_forecast.types.delete_explainability_export_request.DeleteExplainabilityExportRequest]",
) -> OperationResponse[None]:
import capo_forecast._operations.amazon_forecast.delete_explainability_export
output, http_response = (
capo_forecast._operations.amazon_forecast.delete_explainability_export.delete_explainability_export(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteExplainabilityExport")
)
input_: capo_forecast.types.delete_explainability_export_request.DeleteExplainabilityExportRequest = {
"explainability_export_arn": explainability_export_arn
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|