我在本地使用AWS SageMaker构建机器学习模型时，遇到了IAM角色名称的验证错误。尽管我在控制台上创建的角色名称完全正确。

这是我的代码

    import boto3    import sagemaker    from sagemaker import get_execution_role    from sagemaker.amazon.amazon_estimator import image_uris    from sagemaker.amazon.amazon_estimator import RecordSet    sess = sagemaker.Session()    bucket = sagemaker.Session().default_bucket()    prefix = 'sagemaker/ccard19'    role ='arn:aws:iam::94911111111542:role/SageMaker-Full-Access '    container = image_uris.retrieve('linear-learner',boto3.Session().region_name)        # 其他一些代码   linear = sagemaker.LinearLearner(role=role,                                               instance_count=1,                                               instance_type='ml.m4.xlarge',                                               predictor_type='binary_classifier')    # 其他一些代码  ### 拟合分类器  linear.fit([train_records,val_records,test_records], wait=True, logs='All')

这是错误消息

ClientError: An error occurred (ValidationException) when calling the CreateTrainingJob operation: 1 validation error detected: Value 'arn:aws:iam::949010940542:role/SageMaker-Full-Access ' at 'roleArn' failed to satisfy constraint: Member must satisfy regular expression pattern: ^arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+$

请问有什么帮助吗？

回答：

你的角色名称中包含空格。它应该是：

role ='arn:aws:iam::94911111111542:role/SageMaker-Full-Access'