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Sagemill lets you to execute your notebook as SageMaker jobs in the similar way to papermill

Overall features

  • parameterize notebooks

  • execute notebooks as SageMaker Trainig/Processing Job

Installatioin

$ pip install sagemill

Prerequsites

  • Python>=3.5

Required IAM policy

  • ecr

    • create-repository

    • get-authorization-token

  • sts

    • get-caller-identity

  • permission to run Sagemaker jobs

    • write to cloudwatch logs

    • access to some S3 buckets

    • start training/proceessing jobs

    • etc.

Example notebooks

These notebook are assumed to be conda_python3 in SageMaker Notebook instance If you run it on different environments, install conda and run pip install sagemaker

Release files for sagemill 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sagemill 0.0.1
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sagemill-0.0.1.tar.gz 4.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for sagemill 0.0.1
File Interpreter ABI Platform
sagemill-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 11.4 kB

Release files / sagemill-0.0.1.tar.gz

Download URL sagemill-0.0.1.tar.gz
Size 4.9 kB
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Release files / sagemill-0.0.1-py3-none-any.whl

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Size 6.6 kB
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0.0.1 This release

2 release files

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