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Configuring the new tag for pyPI release

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Petrônio Cândido 2018-03-06 16:08:14 -03:00
parent 3297753129
commit 967d07e5bb
11 changed files with 166 additions and 72 deletions
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94
MANIFEST
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# file GENERATED by distutils, do NOT edit
setup.cfg
setup.py
pyFTS/__init__.py
pyFTS/benchmarks/Measures.py
pyFTS/benchmarks/ResidualAnalysis.py
pyFTS/benchmarks/Util.py
pyFTS/benchmarks/__init__.py
pyFTS/benchmarks/arima.py
pyFTS/benchmarks/benchmarks.py
pyFTS/benchmarks/distributed_benchmarks.py
pyFTS/benchmarks/naive.py
pyFTS/benchmarks/parallel_benchmarks.py
pyFTS/benchmarks/quantreg.py
pyFTS/common/Composite.py
pyFTS/common/FLR.py
pyFTS/common/FuzzySet.py
pyFTS/common/Membership.py
pyFTS/common/SortedCollection.py
pyFTS/common/Transformations.py
pyFTS/common/Util.py
pyFTS/common/__init__.py
pyFTS/common/flrg.py
pyFTS/common/fts.py
pyFTS/common/tree.py
pyFTS/data/AirPassengers.py
pyFTS/data/Enrollments.py
pyFTS/data/INMET.py
pyFTS/data/NASDAQ.py
pyFTS/data/SONDA.py
pyFTS/data/SP500.py
pyFTS/data/TAIEX.py
pyFTS/data/__init__.py
pyFTS/data/artificial.py
pyFTS/data/common.py
pyFTS/data/sunspots.py
pyFTS/models/__init__.py
pyFTS/models/chen.py
pyFTS/models/cheng.py
pyFTS/models/hofts.py
pyFTS/models/hwang.py
pyFTS/models/ifts.py
pyFTS/models/ismailefendi.py
pyFTS/models/pwfts.py
pyFTS/models/sadaei.py
pyFTS/models/song.py
pyFTS/models/yu.py
pyFTS/models/ensemble/__init__.py
pyFTS/models/ensemble/ensemble.py
pyFTS/models/ensemble/multiseasonal.py
pyFTS/models/multivariate/FLR.py
pyFTS/models/multivariate/__init__.py
pyFTS/models/multivariate/common.py
pyFTS/models/multivariate/flrg.py
pyFTS/models/multivariate/mvfts.py
pyFTS/models/multivariate/variable.py
pyFTS/models/nonstationary/__init__.py
pyFTS/models/nonstationary/common.py
pyFTS/models/nonstationary/cvfts.py
pyFTS/models/nonstationary/flrg.py
pyFTS/models/nonstationary/honsfts.py
pyFTS/models/nonstationary/nsfts.py
pyFTS/models/nonstationary/partitioners.py
pyFTS/models/nonstationary/perturbation.py
pyFTS/models/nonstationary/util.py
pyFTS/models/seasonal/SeasonalIndexer.py
pyFTS/models/seasonal/__init__.py
pyFTS/models/seasonal/cmsfts.py
pyFTS/models/seasonal/common.py
pyFTS/models/seasonal/msfts.py
pyFTS/models/seasonal/partitioner.py
pyFTS/models/seasonal/sfts.py
pyFTS/partitioners/CMeans.py
pyFTS/partitioners/Entropy.py
pyFTS/partitioners/FCM.py
pyFTS/partitioners/Grid.py
pyFTS/partitioners/Huarng.py
pyFTS/partitioners/Util.py
pyFTS/partitioners/__init__.py
pyFTS/partitioners/parallel_util.py
pyFTS/partitioners/partitioner.py
pyFTS/probabilistic/ProbabilityDistribution.py
pyFTS/probabilistic/__init__.py
pyFTS/probabilistic/kde.py
pyFTS/tests/__init__.py
pyFTS/tests/cmsfts.py
pyFTS/tests/distributed.py
pyFTS/tests/ensemble.py
pyFTS/tests/general.py
pyFTS/tests/multivariate.py
pyFTS/tests/nonstationary.py
pyFTS/tests/pwfts.py
pyFTS/tests/seasonal.py
pyFTS/tests/sfts.py

16
pyFTS/data/AirPassengers.py
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from pyFTS.data import common
import pandas as pd import pandas as pd
import numpy as np import numpy as np
import pkg_resources
def get_data(): def get_data():
filename = pkg_resources.resource_filename('pyFTS', 'data/AirPassengers.csv') dat = get_dataframe()
passengers = pd.read_csv(filename, sep=",") dat = np.array(dat["Passengers"])
passengers = np.array(passengers["Passengers"]) return dat
return passengers
def get_dataframe():
dat = common.get_dataframe('data/AirPassengers.csv',
'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/AirPassengers.csv',
sep=",")
return dat

17
pyFTS/data/Enrollments.py
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@ -1,11 +1,16 @@
from pyFTS.data import common
import pandas as pd import pandas as pd
import numpy as np import numpy as np
import os
import pkg_resources
def get_data(): def get_data():
filename = pkg_resources.resource_filename('pyFTS', 'data/Enrollments.csv') dat = get_dataframe()
enrollments = pd.read_csv(filename, sep=";") dat = np.array(dat["Enrollments"])
enrollments = np.array(enrollments["Enrollments"]) return dat
return enrollments
def get_dataframe():
dat = common.get_dataframe('data/Enrollments.csv',
'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/Enrollments.csv',
sep=";")
return dat

5
pyFTS/data/INMET.py
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@ -16,7 +16,10 @@
from pyFTS.data import common from pyFTS.data import common
import pandas as pd import pandas as pd
def get_dataframe(): def get_dataframe():
dat = common.get_dataframe('data/INMET.csv.bz2',sep=";", compression='bz2') dat = common.get_dataframe('data/INMET.csv.bz2',
'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/INMET.csv.bz2',
sep=";", compression='bz2')
dat["DataHora"] = pd.to_datetime(dat["DataHora"], format='%d/%m/%Y %H:%M') dat["DataHora"] = pd.to_datetime(dat["DataHora"], format='%d/%m/%Y %H:%M')
return dat return dat

18
pyFTS/data/NASDAQ.py
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@ -1,11 +1,17 @@
from pyFTS.data import common
import pandas as pd import pandas as pd
import numpy as np import numpy as np
import os
import pkg_resources
def get_data(): def get_data(field):
filename = pkg_resources.resource_filename('pyFTS', 'data/NASDAQ.csv.bz2') dat = get_dataframe()
dat = pd.read_csv(filename, sep=";", compression='bz2') dat = np.array(dat[field])
dat = np.array(dat["avg"])
return dat return dat
def get_dataframe():
dat = common.get_dataframe('data/NASDAQ.csv.bz2',
'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/data/NASDAQ.csv.bz2',
sep=";", compression='bz2')
return dat

12
pyFTS/data/SONDA.py
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@ -1,18 +1,18 @@
from pyFTS.data import common
import pandas as pd import pandas as pd
import numpy as np import numpy as np
import os
import pkg_resources
def get_data(field): def get_data(field):
filename = pkg_resources.resource_filename('pyFTS', 'data/SONDA_BSB.csv.bz2') dat = get_dataframe()
dat = pd.read_csv(filename, sep=";", compression='bz2')
dat = np.array(dat[field]) dat = np.array(dat[field])
return dat return dat
def get_dataframe(): def get_dataframe():
filename = pkg_resources.resource_filename('pyFTS', 'data/SONDA_BSB.csv.bz2') dat = common.get_dataframe('data/SONDA_BSB.csv.bz2',
dat = pd.read_csv(filename, sep=";", compression='bz2') 'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/SONDA_BSB.csv.bz2',
sep=";", compression='bz2')
dat["datahora"] = pd.to_datetime(dat["datahora"], format='%Y-%m-%d %H:%M:%S') dat["datahora"] = pd.to_datetime(dat["datahora"], format='%Y-%m-%d %H:%M:%S')
return dat return dat

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pyFTS/data/SP500.py
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@ -1,11 +1,12 @@
from pyFTS.data import common
import pandas as pd import pandas as pd
import numpy as np import numpy as np
import os
import pkg_resources
def get_data(): def get_dataframe():
filename = pkg_resources.resource_filename('pyFTS', 'data/SP500.csv.bz2') dat = common.get_dataframe('data/SP500.csv.bz2',
dat = pd.read_csv(filename, sep=",", compression='bz2') 'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/SP500.csv.bz2',
sep=",", compression='bz2')
dat = np.array(dat["Avg"]) dat = np.array(dat["Avg"])
return dat return dat

12
pyFTS/data/TAIEX.py
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@ -1,18 +1,18 @@
from pyFTS.data import common
import pandas as pd import pandas as pd
import numpy as np import numpy as np
import os
import pkg_resources
def get_data(): def get_data():
filename = pkg_resources.resource_filename('pyFTS', 'data/TAIEX.csv.bz2') dat = get_dataframe()
dat = pd.read_csv(filename, sep=",", compression='bz2')
dat = np.array(dat["avg"]) dat = np.array(dat["avg"])
return dat return dat
def get_dataframe(): def get_dataframe():
filename = pkg_resources.resource_filename('pyFTS', 'data/TAIEX.csv.bz2') dat = common.get_dataframe('data/TAIEX.csv.bz2',
dat = pd.read_csv(filename, sep=",", compression='bz2') 'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/TAIEX.csv.bz2',
sep=";", compression='bz2')
dat["Date"] = pd.to_datetime(dat["Date"]) dat["Date"] = pd.to_datetime(dat["Date"])
return dat return dat

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pyFTS/data/sunspots.py
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@ -1,11 +1,15 @@
from pyFTS.data import common
import pandas as pd import pandas as pd
import numpy as np import numpy as np
import os
import pkg_resources
def get_data(): def get_data():
filename = pkg_resources.resource_filename('pyFTS', 'data/sunspots.csv') dat = get_dataframe()
dat = pd.read_csv(filename, sep=",")
dat = np.array(dat["SUNACTIVITY"]) dat = np.array(dat["SUNACTIVITY"])
return dat return dat
def get_dataframe():
dat = common.get_dataframe('data/sunspots.csv',
'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/sunspots.csv',
sep=",")
return dat

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pyFTS/tests/general.py
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@ -9,31 +9,6 @@ import numpy as np
import pandas as pd import pandas as pd
from pyFTS.common import Transformations from pyFTS.common import Transformations
from pyFTS.benchmarks import benchmarks as bchmk from pyFTS.data import INMET
bc = Transformations.BoxCox(0) print(INMET.get_dataframe())
diff = Transformations.Differential(1)
#ix = SeasonalIndexer.LinearSeasonalIndexer([12, 24], [720, 1],[False, False])
"""
DATASETS
"""
from pyFTS.data import Enrollments
data = Enrollments.get_data()
from pyFTS.partitioners import Grid
from pyFTS.models import song, chen, yu, sadaei, ismailefendi, cheng, hofts
train = data
test = data
fs = Grid.GridPartitioner(train, 10) #, transformation=bc)
#tmp = bchmk.simpleSearch_RMSE(train, test, hofts.HighOrderFTS, range(4,12), [2], tam=[10, 5])
model = hofts.HighOrderFTS("", partitioner=fs)
model.fit(train, order=3)
print(model)

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setup.py
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@ -6,9 +6,9 @@ setup(
'pyFTS.models', 'pyFTS.models.seasonal', 'pyFTS.partitioners', 'pyFTS.probabilistic', 'pyFTS.models', 'pyFTS.models.seasonal', 'pyFTS.partitioners', 'pyFTS.probabilistic',
'pyFTS.tests', 'pyFTS.models.nonstationary', 'pyFTS.models.multivariate'], 'pyFTS.tests', 'pyFTS.models.nonstationary', 'pyFTS.models.multivariate'],
#package_dir={} #package_dir={}
package_data={'pyFTS.data': ['*.csv','*.csv.bz2']}, #package_data={'pyFTS.data': ['*.csv','*.csv.bz2']},
#data_files=[('data', ['pyFTS/data/Enrollments.csv', 'pyFTS/data/AirPassengers.csv'])], #data_files=[('data', ['pyFTS/data/Enrollments.csv', 'pyFTS/data/AirPassengers.csv'])],
include_package_data=True, #include_package_data=True,
version='1.2.3', version='1.2.3',
description='Fuzzy Time Series for Python', description='Fuzzy Time Series for Python',
author='Petronio Candido L. e Silva', author='Petronio Candido L. e Silva',
@ -22,7 +22,7 @@ setup(
'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.6',
], ],
install_requires=[ #install_requires=[
'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib','statsmodels' # 'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib','statsmodels'
] #]
) )