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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 個月前

    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.

主題
機器學習與 AI
標籤
Amazon SageMaker
語言
English
HENNI YASSINE
已提問 4 個月前檢視次數 153 次
2 個答案
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 個月前
0

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

AWS
AWSJason
已回答 4 個月前

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