aws-sagemaker-remote
Remotely run and track ML research using AWS SageMaker.
Standardized command line flags
Remotely run scripts with minimal changes
Automatically manage AWS resources
All code, inputs, outputs, arguments, and settings are tracked in one place
Reproducible batch processing jobs to prepare datasets
Reproducible training jobs that track hyperparameters and metrics
Track three types of objects in a standard way:
Processing jobs consume file inputs and produce file outputs. Useful for data conversion, extraction, etc.
Training jobs train models while tracking metrics and hyperparameters.
Inference models provide predictions and can be deployed on endpoints. Can be automatically created from and linked to training jobs for tracking purposes or can deploy externally-created models.
Installation
Release
pip install aws-sagemaker-remoteDevelopment
git clone https://github.com/bstriner/aws-sagemaker-remote
cd aws-sagemaker-remote
python setup.py developDocumentation
View latest documentation at ReadTheDocs
Continuous Integration
View continuous integration at TravisCI
PyPI
View releases on PyPI
GitHub
View source code on GitHub
GitHub tags are automatically released on ReadTheDocs, tested on TravisCI, and deployed to PyPI if successful.
1 maintainer
Metadata
1 maintainer
Release files for aws-sagemaker-remote 0.0.71
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| File | Size | Uploaded | Provenance | Actions |
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| aws-sagemaker-remote-0.0.71.tar.gz | 65.5 kB | Without provenance | Details for aws-sagemaker-remote-0.0.71.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| aws_sagemaker_remote-0.0.71-py3-none-any.whl | Python 3 | none | any | Details for aws_sagemaker_remote-0.0.71-py3-none-any.whl |
Total release size: 171.6 kB
Release files / aws-sagemaker-remote-0.0.71.tar.gz
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Release files / aws_sagemaker_remote-0.0.71-py3-none-any.whl
| Download URL | aws_sagemaker_remote-0.0.71-py3-none-any.whl |
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| Tags | Python 3 |
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