Configuring the new tag for pyPI release
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10
setup.py
10
setup.py
@ -10,15 +10,15 @@ setup(
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'models': ['*'], 'partitioners': ['*'], 'probabilistic': ['*'], 'tests': ['*']},
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'models': ['*'], 'partitioners': ['*'], 'probabilistic': ['*'], 'tests': ['*']},
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#data_files=[('data', ['pyFTS/data/Enrollments.csv', 'pyFTS/data/AirPassengers.csv'])],
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#data_files=[('data', ['pyFTS/data/Enrollments.csv', 'pyFTS/data/AirPassengers.csv'])],
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include_package_data=True,
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include_package_data=True,
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version='1.1.1',
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version='1.2.3',
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description='Fuzzy Time Series for Python',
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description='Fuzzy Time Series for Python',
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author='Petronio Candido L. e Silva',
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author='Petronio Candido L. e Silva',
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author_email='petronio.candido@gmail.com',
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author_email='petronio.candido@gmail.com',
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url='https://github.com/petroniocandido/pyFTS',
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url='https://github.com/petroniocandido/pyFTS',
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download_url='https://github.com/petroniocandido/pyFTS/archive/pkg1.1.1.tar.gz',
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download_url='https://github.com/petroniocandido/pyFTS/archive/pkg1.2.3.tar.gz',
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keywords=['forecasting', 'fuzzy time series', 'fuzzy', 'time series forecasting'],
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keywords=['forecasting', 'fuzzy time series', 'fuzzy', 'time series forecasting'],
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classifiers=[],
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classifiers=[],
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#install_requires=[
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install_requires=[
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# 'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib'
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'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib','statsmodels'
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#],
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]
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)
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)
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