Neptune ML 管理 API 錯誤和例外狀況 - Amazon Neptune

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

Neptune ML 管理 API 錯誤和例外狀況

所有 Neptune ML 管理 API 例外狀況都會傳回 400 HTTP 代碼。在收到任何這些例外狀況之後，不應重試產生例外狀況的命令。

  • MissingParameterException – 錯誤訊息：

    Required credentials are missing. Please add IAM role to the cluster or pass as a parameter to this request.

  • InvalidParameterException – 錯誤訊息：

    • Invalid ML instance type.

    • Invalid ID provided. ID can be 1-48 alphanumeric characters.

    • Invalid ID provided. Must contain only letters, digits, or hyphens.

    • Invalid ID provided. Please check whether a resource with the given ID exists.

    • Another resource with same ID already exists. Please use a new ID.

    • Failed to stop the job because it has already completed or failed.

  • BadRequestException – 錯誤訊息：

    • Invalid S3 URL or incorrect S3 permissions. Please check your S3 configuration.

    • Provided ModelTraining job has not completed.

    • Provided SageMaker AI Training job has not completed.

    • Provided MLDataProcessing job is not completed.

    • Provided MLModelTraining job doesn't exist.

    • Provided ModelTransformJob doesn't exist.

    • Unable to find SageMaker AI resource. Please check your input.