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
<a name="machine-learning-api-exceptions"></a>

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。

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+ **`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.`