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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
    3 months ago

    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.

Topics
Machine Learning & AI
Tags
Amazon SageMaker
Language
English
HENNI YASSINE
asked 3 months ago139 views
2 Answers
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
answered 3 months ago
0

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

AWS
AWSJason
answered 3 months ago

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