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Updates for release
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.gitignore

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.pydevproject
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.settings/*
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.DS_Store
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.coverage

MANIFEST.in

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include orangecontrib/example/tutorials/*.ows
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include orangecontrib/example/widgets/icons/*
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include orangecontrib/scoring/tutorials/*.ows
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include orangecontrib/scoring/widgets/icons/*
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include orangecontrib/scoring/tests/*.json
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include orangecontrib/scoring/tests/*.xml

README.md

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pip install -e .
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```
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Issues, Questions and Feature Requests
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--------------------------------------
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Please raise an issue/question/request [here](https://github.com/animator/orange3-scoring/issues).
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Development
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-----------
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Want to contribute? Great!
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Please raise an [issue](https://github.com/animator/orange3-scoring/issues) to discuss your ideas and send a [pull request](https://github.com/animator/orange3-scoring/pulls).
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Usage
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-----
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Another output signal is produced which contains the `Evaluation Results` which can be connected to `Confusion Matrix`, `ROC Analysis` and `Lift Curve` widgets. We can connect it to the `Confusion Matrix` widget to view the difference in predicted and actual results.
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![11_view_confusion](https://github.com/animator/orange3-scoring/blob/master/screens/11_view_confusion.PNG)
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Issues, Questions and Feature Requests
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--------------------------------------
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Please raise an issue/question/request [here](https://github.com/animator/orange3-scoring/issues).
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Development
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-----------
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Want to contribute? Great!
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Please raise an [issue](https://github.com/animator/orange3-scoring/issues) to discuss your ideas and send a [pull request](https://github.com/animator/orange3-scoring/pulls).

orangecontrib/scoring/lib/__init__.py

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orangecontrib/scoring/tutorials/example_tutorial.ows

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setup.py

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VERSION = "0.0.1"
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DESCRIPTION = "Add-on containing scoring engine widgets for PFA, PMML and ONNX models"
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DESCRIPTION = "Add-on containing scoring engine widgets for PFA, PMML and ONNX (coming soon) models"
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LONG_DESCRIPTION = open(path.join(path.dirname(__file__), 'README.md')).read()
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LICENSE = "MIT"
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KEYWORDS = (
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KEYWORDS = [
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# [PyPi](https://pypi.python.org) packages with keyword "orange3 add-on"
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# can be installed using the Orange Add-on Manager
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'orange3 add-on',
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'pfa',
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'pmml',
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'onnx',
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)
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]
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PACKAGES = find_packages()
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PACKAGE_DATA = {
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'orangecontrib.scoring': ['tutorials/*.ows'],
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'orangecontrib.scoring': ['tutorials/*.ows', 'tests/*.json', 'tests/*.xml'],
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'orangecontrib.scoring.widgets': ['icons/*'],
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}
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DATA_FILES.extend(doc_files)
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if __name__ == '__main__':
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include_documentation('doc/build/html', 'help/orange3-scoring')
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#include_documentation('doc/build/html', 'help/orange3-scoring')
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setup(
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name=NAME,
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version=VERSION,
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author="Ankit Mahato",
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author_email="ankmahato@gmail.com",
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keywords=KEYWORDS,
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description=DESCRIPTION,
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long_description=LONG_DESCRIPTION,
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long_description_content_type="text/markdown",
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url="https://github.com/animator/orange3-scoring",
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license=LICENSE,
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packages=PACKAGES,
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package_data=PACKAGE_DATA,
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data_files=DATA_FILES,
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install_requires=INSTALL_REQUIRES,
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python_requires='>=3.5',
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entry_points=ENTRY_POINTS,
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keywords=KEYWORDS,
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namespace_packages=NAMESPACE_PACKAGES,
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test_suite=TEST_SUITE,
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include_package_data=True,
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zip_safe=False,
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classifiers=[
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'Development Status :: 3 - Alpha',
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'Intended Audience :: Developers',
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'Intended Audience :: Education',
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'Intended Audience :: Information Technology',
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'Intended Audience :: Science/Research',
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'Topic :: Scientific/Engineering',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'Topic :: Software Development',
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'Topic :: Software Development :: Libraries',
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'Topic :: Software Development :: Libraries :: Python Modules',
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'License :: OSI Approved :: MIT License',
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'Programming Language :: Python :: 3 :: Only',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
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'Programming Language :: Python :: 3.7',
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'Programming Language :: Python :: 3.8',
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'Natural Language :: English',
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],
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)

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