将 DeletePipeline 和 AWS SDK 结合使用

    /// <summary>
    /// Delete a SageMaker pipeline by name.
    /// </summary>
    /// <param name="pipelineName">The name of the pipeline to delete.</param>
    /// <returns>The ARN of the pipeline.</returns>
    public async Task<string> DeletePipelineByName(string pipelineName)
    {
        var deleteResponse = await _amazonSageMaker.DeletePipelineAsync(
            new DeletePipelineRequest()
            {
                PipelineName = pipelineName
            });

        return deleteResponse.PipelineArn;
    }

    // Delete a SageMaker pipeline by name.
    public static void deletePipeline(SageMakerClient sageMakerClient, String pipelineName) {
        DeletePipelineRequest pipelineRequest = DeletePipelineRequest.builder()
                .pipelineName(pipelineName)
                .build();

        sageMakerClient.deletePipeline(pipelineRequest);
        System.out.println("*** Successfully deleted " + pipelineName);
    }

用于删除 SageMaker AI 管道的语法。这段代码是更大函数的一部分。要了解更多背景信息，请参阅“创建管道”或 GitHub 存储库。

      await sagemakerClient.send(
        new DeletePipelineCommand({ PipelineName: name }),
      );

// Delete a SageMaker pipeline by name.
suspend fun deletePipeline(pipelineNameVal: String) {
    val pipelineRequest = DeletePipelineRequest {
        pipelineName = pipelineNameVal
    }

    SageMakerClient { region = "us-west-2" }.use { sageMakerClient ->
        sageMakerClient.deletePipeline(pipelineRequest)
        println("*** Successfully deleted $pipelineNameVal")
    }
}