65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
#!/usr/bin/python
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# -*- coding: utf8 -*-
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import os
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import numpy as np
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import pandas as pd
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import matplotlib as plt
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import matplotlib.pyplot as plt
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from mpl_toolkits.mplot3d import Axes3D
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import pandas as pd
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from pyFTS.partitioners import Grid
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from pyFTS.common import FLR,FuzzySet,Membership,Transformations
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from pyFTS import fts,hofts,ifts,pwfts,tree, chen
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from pyFTS.benchmarks import benchmarks as bchmk
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from pyFTS.benchmarks import Measures
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from numpy import random
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#gauss_treino = random.normal(0,1.0,1600)
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#gauss_teste = random.normal(0,1.0,400)
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os.chdir("/home/petronio/dados/Dropbox/Doutorado/Codigos/")
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enrollments = pd.read_csv("DataSets/Enrollments.csv", sep=";")
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enrollments = np.array(enrollments["Enrollments"])
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import importlib
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import pandas as pd
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from pyFTS.partitioners import Grid
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from pyFTS.common import FLR, FuzzySet, Membership, SortedCollection
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from pyFTS import fts
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from pyFTS import hofts
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from pyFTS import pwfts
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from pyFTS import tree
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from pyFTS.benchmarks import benchmarks as bchmk
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enrollments_fs1 = Grid.GridPartitioner(enrollments, 6).sets
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for s in enrollments_fs1:
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print(s)
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pfts1_enrollments = pwfts.ProbabilisticWeightedFTS("1")
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pfts1_enrollments.train(enrollments, enrollments_fs1, 1)
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pfts1_enrollments.shortname = "1st Order"
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pfts2_enrollments = pwfts.ProbabilisticWeightedFTS("2")
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pfts2_enrollments.dump = False
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pfts2_enrollments.shortname = "2nd Order"
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pfts2_enrollments.train(enrollments, enrollments_fs1, 2)
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pfts3_enrollments = pwfts.ProbabilisticWeightedFTS("3")
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pfts3_enrollments.dump = False
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pfts3_enrollments.shortname = "3rd Order"
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pfts3_enrollments.train(enrollments, enrollments_fs1, 3)
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bchmk.plot_compared_series(enrollments,[pfts1_enrollments,pfts2_enrollments, pfts3_enrollments],
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["red","blue","green"], linewidth=2,
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typeonlegend=True,save=False,file="pictures/pwfts_enrollments_interval.png",
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tam=[20,7],points=False, intervals=True)
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