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.
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 :
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.