Questions tagged [sagemaker]

Amazon SageMaker is a fully-managed AWS service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.

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Specific information regarding Amazon Sagemaker GroundTruth

I'm trying to run a simple GroundTruth labeling job with a private workforce for text classification. Since I'm new to AWS GroundTruth, I have some questions: If I use private workforce what is the ...
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29 views

Does AWS Sagemaker continue running when I go offline?

I'm pulling data from web services in an AWS Sagemaker Notebook. I'd like to be able to close my computer for an hour, reconnect my computer and see that the data collection has continued to run. ...
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What's the difference between two kinds of deployment in sagemaker

I read the deployment model in stagemaker from sagemaker webistes: https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works-deployment.html It says there are two ways for deployment: 1. via AWS ...
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23 views

aws sagemaker data input configuration

I m trying to run this training job on the sagemaker but it doesn't like the data I uploaded in the s3 bucket. I simply uploaded ...
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130 views

Difference between AWS amazonei_tensorflow and tensorflow conda environments

In AWS SageMaker there are several Conda environments available based on different ML frameworks: conda info -e I would like to know the difference between a <...
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Unable to parse manifest sagemaker

I have a csv stored in S3 and try to build a multiclass XGB training job with Sage Maker. Even though I've put the target variables (classes from 1 to 3) in the firs column and removed the headers, ...