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Introduction
The onnxconverter-common package provides common functions and utilities for use in converters from various AI frameworks to ONNX. It also enables the different converters to work together to convert a model from mixed frameworks, like a scikit-learn pipeline embedding a xgboost model.
License
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Document
Please reference the simple document here.
1 maintainer
Metadata
1 maintainer
Release files for onnxconverter-common 1.16.0
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| File | Interpreter | ABI | Platform | Actions Reset |
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| onnxconverter_common-1.16.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for onnxconverter_common-1.16.0-py2.py3-none-any.whl |
Release files / onnxconverter_common-1.16.0-py2.py3-none-any.whl
| Download URL | onnxconverter_common-1.16.0-py2.py3-none-any.whl |
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| Size | 89.5 kB |
| Tags | Python 2 Python 3 |
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