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delete_data_source 

delete_data_source(
    data_source_id: EntityId,
    *,
    config_overrides: Optional[MachineLearningClientConfig] = None,
) -> DeleteDataSourceOutput

Assigns the DELETED status to a DataSource, rendering it unusable.

After using the DeleteDataSource operation, you can use the GetDataSource operation to verify that the status of the DataSource changed to DELETED.

Caution: The results of the DeleteDataSource operation are irreversible.

Parameters:

  • data_source_id (EntityId) –

    A user-supplied ID that uniquely identifies the DataSource.

Raises:

Source code in docs_src/capo_machine_learning/_services/machine_learning.py 
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def delete_data_source(
    self,
    data_source_id: "capo_machine_learning.types.entity_id.EntityId",
    *,
    config_overrides: Optional[MachineLearningClientConfig] = None,
) -> "capo_machine_learning.types.delete_data_source_output.DeleteDataSourceOutput":
    """<p>Assigns the DELETED status to a <code>DataSource</code>, rendering it unusable.</p> <p>After using the <code>DeleteDataSource</code> operation, you can use the <a>GetDataSource</a> operation to verify that the status of the <code>DataSource</code> changed to DELETED.</p> <p> <b>Caution:</b> The results of the <code>DeleteDataSource</code> operation are irreversible.</p>

    Args:
        data_source_id: <p>A user-supplied ID that uniquely identifies the <code>DataSource</code>.</p>

    Raises:
        capo_machine_learning.errors.internal_server_exception.InternalServerException: <p>An error on the server occurred when trying to process a request.</p>
        capo_machine_learning.errors.invalid_input_exception.InvalidInputException: <p>An error on the client occurred. Typically, the cause is an invalid input value.</p>
        capo_machine_learning.errors.resource_not_found_exception.ResourceNotFoundException: <p>A specified resource cannot be located.</p>
        capo_machine_learning.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_machine_learning.types.delete_data_source_input.DeleteDataSourceInput]",
    ) -> OperationResponse[
        "capo_machine_learning.types.delete_data_source_output.DeleteDataSourceOutput"
    ]:
        import capo_machine_learning._operations.amazon_ml_20141212.delete_data_source

        output, http_response = (
            capo_machine_learning._operations.amazon_ml_20141212.delete_data_source.delete_data_source(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteDataSource")
    )
    input_: capo_machine_learning.types.delete_data_source_input.DeleteDataSourceInput = {
        "data_source_id": data_source_id
    }

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