53 lines
1.9 KiB
Python
53 lines
1.9 KiB
Python
from distutils.core import setup
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from distutils.command.install import install as _install
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class install(_install):
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def run(self):
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_install.run(self)
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from pyFTS.data import INMET,Enrollments,AirPassengers,NASDAQ,SONDA,SP500,sunspots,TAIEX
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print("Downloading data assets:")
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print("TAIEX")
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TAIEX.get_data()
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print("sunspots")
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sunspots.get_data()
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print("SP500")
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SP500.get_dataframe()
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print("SONDA")
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SONDA.get_dataframe()
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print("NASDAQ")
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NASDAQ.get_dataframe()
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print("AirPassengers")
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AirPassengers.get_data()
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print("Enrollments")
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Enrollments.get_data()
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print("INMET")
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INMET.get_dataframe()
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setup(
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name='pyFTS',
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packages=['pyFTS', 'pyFTS.benchmarks', 'pyFTS.common', 'pyFTS.data', 'pyFTS.models.ensemble',
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'pyFTS.models', 'pyFTS.models.seasonal', 'pyFTS.partitioners', 'pyFTS.probabilistic',
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'pyFTS.tests', 'pyFTS.models.nonstationary', 'pyFTS.models.multivariate'],
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#package_dir={}
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#package_data={'pyFTS.data': ['*.csv','*.csv.bz2']},
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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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version='1.2.0',
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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_email='petronio.candido@gmail.com',
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url='https://github.com/petroniocandido/pyFTS',
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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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classifiers=[
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.4',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
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],
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cmdclass={'install': install},
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)
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