{ "info": { "author": "Microsoft Corporation", "author_email": "onnx@microsoft.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Programming Language :: Python", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6" ], "description": "| Linux | Windows |\n|-------|---------|\n| [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/linux-conda-CI?branchName=master)](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=689&branchName=master)| [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/common-win32-conda-CI?branchName=master)](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=690&branchName=master)|\n\n# Introduction\nThe 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.\n\n# License\n[MIT License](LICENSE)\n\n# Contributing\n\nThis project welcomes contributions and suggestions. Most contributions require you to agree to a\nContributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us\nthe rights to use your contribution. For details, visit https://cla.microsoft.com.\n\nWhen you submit a pull request, a CLA-bot will automatically determine whether you need to provide\na CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions\nprovided by the bot. 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