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AWS Cloud Quest ML path : Set Up an ML Environment

1

Hello, I am following the cloud quest ML path, and I encounter an error during the 'Set Up an ML Environment' task. Enter image description here

After I download the needed Data successfully using this code snipet : s3 = boto3.client("s3") s3.download_file("sagemaker-sample-files", "datasets/text/SST2/sst2.train", "data/train") s3.download_file("sagemaker-sample-files", "datasets/text/SST2/sst2.test", "data/test")

I run this portion of code that throws an error : from sagemaker import s3, session bucket = session.Session().default_bucket() inputs = s3.S3Uploader.upload("data", "s3://{}/mxnet-gluon-sentiment-example/data".format(bucket))

and I get this error : Enter image description here Enter image description here Enter image description here Enter image description here Enter image description here Enter image description here Enter image description here Enter image description here Enter image description here Enter image description here

  • Meijian
    4 个月前

    Same here. I tried downgrading the packages but it does not work. There are no other unlocked tasks without solving this one. AWS, please take a look.

主题
机器学习和人工智能
标签
Amazon SageMaker
语言
English
HENNI YASSINE
已提问 4 个月前152 查看次数
2 回答
0

Hi! We are currently investigating issues with some Machine Learning assignments using Jupyter notebooks. We will update once we've determined the cause and fix for these issues.

AWS
AWSJason
已回答 4 个月前
0

Hello! All ML labs should be working again. Thank you.

AWS
AWSJason
已回答 4 个月前

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