Metadata-Version: 2.1
Name: deeponnxcustom
Version: 0.1.0
Summary: Extends scikit-learn with a couple of new models, transformers, metrics, plotting.
Home-page: http://www.xavierdupre.fr/app/deeponnxcustom/helpsphinx/index.html
Author: Xavier Dupré
Author-email: xavier.dupre@gmail.com
License: MIT
Download-URL: https://github.com/sdpython/deeponnxcustom/
Description: 
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        deeponnxcustom: custom ONNX and deep learning
        =============================================
        
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            :width: 50
        
        `documentation <http://www.xavierdupre.fr/app/deeponnxcustom/helpsphinx/index.html>`_
        
        Onnx, onnxruntime, deep learning, pytorch...
        
        ::
        
            python setup.py build_ext --inplace
        
        Generate the setup in subfolder ``dist``:
        
        ::
        
            python setup.py sdist
        
        Generate the documentation in folder ``dist/html``:
        
        ::
        
            python setup.py build_sphinx
        
        Run the unit tests:
        
        ::
        
            python setup.py unittests
        
        To check style:
        
        ::
        
            python -m flake8 deeponnxcustom tests examples
        
        The function *check* or the command line ``python -m deeponnxcustom check``
        checks the module is properly installed and returns processing
        time for a couple of functions or simply:
        
        ::
        
            import deeponnxcustom
            deeponnxcustom.check()
        
Keywords: deeponnxcustom,Xavier Dupré
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 5 - Production/Stable
Provides-Extra: all
