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automl-pipeline-with-autogluon-sagemaker-lambda's Introduction

AutoML with AutoGluon, Amazon SageMaker, and AWS Lambda

This repository contains the CloudFormation template and prewritten source code powering the code-free AutoML pipeline detailed in this AWS Machine Learning blog post. Feel free to customize it to fit your use case and share with us what you build!

  • autogluon-tab-with-test.py is the script run by the SageMaker training job the Lambda function automatically kicks off when you upload your training data to S3. It's pre-packaged in sourcedir.tar.gz for the use of the pipeline. You can modify this script to reuse the pipeline with your own model training code.
  • CodeFreeAutoML.yaml is the CloudFormation template you use to deploy the pipeline in your account.
  • lambda_function.py is the source code for the Lambda function that kicks off the SageMaker training job when you upload your data to S3.
  • sourcedir.tar.gz is the autogluon-tab-with-test.py file pre-packaged for your convenience; the pipeline requires it to be gzipped.

Security

See CONTRIBUTING for more information.

License

This project is licensed under the Apache-2.0 License.

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automl-pipeline-with-autogluon-sagemaker-lambda's Issues

sourcedir.tar.gz

The default target label must be 'target'

parser.add_argument('--target', type=str, default='target')

autogluon-tab-with-test.py is correct. But sourcedir.tar.gz is not correct.

cannot import name 'TabularPrediction'

Hi,
in first, thank you for providing of library, it's realy useful.
When is executing training job in Sagemaker (code-free-automl), there is import error:

Traceback (most recent call last):
File "autogluon-tab-with-test.py", line 13, in
from autogluon import TabularPrediction as task
ImportError: cannot import name 'TabularPrediction'

I guess that's why upgrade of new release of autogluon.
How can I resolve this?
Thanks

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