Metadata-Version: 2.1
Name: napari-oclrfc
Version: 0.1.0
Summary: OpenCL-based Random Forest Classifier
Home-page: https://github.com/haesleinhuepf/napari-oclrfc
Author: Robert Haase
Author-email: robert.haase@tu-dresden.de
License: BSD-3
Description: \# napari-oclrfc
        
        [![License](https://img.shields.io/pypi/l/napari-oclrfc.svg?color=green)](https://github.com/haesleinhuepf/napari-oclrfc/raw/master/LICENSE)
        [![PyPI](https://img.shields.io/pypi/v/napari-oclrfc.svg?color=green)](https://pypi.org/project/napari-oclrfc)
        [![Python Version](https://img.shields.io/pypi/pyversions/napari-oclrfc.svg?color=green)](https://python.org)
        [![tests](https://github.com/haesleinhuepf/napari-oclrfc/workflows/tests/badge.svg)](https://github.com/haesleinhuepf/napari-oclrfc/actions)
        [![codecov](https://codecov.io/gh/haesleinhuepf/napari-oclrfc/branch/master/graph/badge.svg)](https://codecov.io/gh/haesleinhuepf/napari-oclrfc)
        
        OpenCL-based Random Forest Classifier
        
        [cle](https://github.com/clEsperanto/pyclesperanto_prototype) meets [sklearn](https://scikit-learn.org/stable/)
        
        ![](images/screenshot.png)
        
        ----------------------------------
        
        This [napari] plugin was generated with [Cookiecutter] using with [@napari]'s [cookiecutter-napari-plugin] template.
        
        ## Installation
        
        You can install `napari-oclrfc` via [pip]. Note: you also need [pyopencl](https://documen.tician.de/pyopencl/).
        
            conda install pyopencl
            pip install napari-oclrfc
        
        ## Contributing
         
        Contributions are very welcome. Tests can be run with [tox], please ensure
        the coverage at least stays the same before you submit a pull request.
        
        ## License
        
        Distributed under the terms of the [BSD-3] license,
        "napari-oclrfc" is free and open source software
        
        ## Issues
        
        If you encounter any problems, please [open a thread on image.sc](https://image.sc) along with a detailed description and tag [@haesleinhuepf](https://github.com/haesleinhuepf).
        
        [napari]: https://github.com/napari/napari
        [Cookiecutter]: https://github.com/audreyr/cookiecutter
        [@napari]: https://github.com/napari
        [MIT]: http://opensource.org/licenses/MIT
        [BSD-3]: http://opensource.org/licenses/BSD-3-Clause
        [GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt
        [GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt
        [Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
        [Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt
        [cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin
        [file an issue]: https://github.com/haesleinhuepf/napari-oclrfc/issues
        [napari]: https://github.com/napari/napari
        [tox]: https://tox.readthedocs.io/en/latest/
        [pip]: https://pypi.org/project/pip/
        [PyPI]: https://pypi.org/
        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Framework :: napari
Classifier: Topic :: Software Development :: Testing
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
