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delete_algorithm

delete_algorithm(
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    algorithm_name: Optional[EntityName] = None,
) -> None

Removes the specified algorithm from your account.

Parameters:

  • algorithm_name (Optional[EntityName], default: None ) –

    The name of the algorithm to delete.

Raises:

  • ConflictException –

    There was a conflict when you attempted to modify a SageMaker entity such as an Experiment or Artifact.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_sagemaker/_services/sage_maker.py
def delete_algorithm(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    algorithm_name: Optional["capo_sagemaker.types.entity_name.EntityName"] = None,
) -> None:
    """<p>Removes the specified algorithm from your account.</p>

    Args:
        algorithm_name: <p>The name of the algorithm to delete.</p>

    Raises:
        capo_sagemaker.errors.conflict_exception.ConflictException: <p>There was a conflict when you attempted to modify a SageMaker entity such as an <code>Experiment</code> or <code>Artifact</code>.</p>
        capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_sagemaker.types.delete_algorithm_input.DeleteAlgorithmInput]",
    ) -> OperationResponse[None]:
        import capo_sagemaker._operations.sage_maker.delete_algorithm

        output, http_response = (
            capo_sagemaker._operations.sage_maker.delete_algorithm.delete_algorithm(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteAlgorithm")
    )
    input_: capo_sagemaker.types.delete_algorithm_input.DeleteAlgorithmInput = {}
    if algorithm_name is not None:
        input_["algorithm_name"] = algorithm_name

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output