pyFTS/tests/pfts.py

#!/usr/bin/python
# -*- coding: utf8 -*-

import os
import numpy as np
import pandas as pd
import matplotlib as plt
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

import pandas as pd
from pyFTS.partitioners import Grid
from pyFTS.common import FLR,FuzzySet,Membership
from pyFTS import fts,hofts,ifts,pfts,tree, chen
from pyFTS.benchmarks import benchmarks as bchmk


os.chdir("/home/petronio/dados/Dropbox/Doutorado/Disciplinas/AdvancedFuzzyTimeSeriesModels/")

#enrollments = pd.read_csv("DataSets/Enrollments.csv", sep=";")
#enrollments = np.array(enrollments["Enrollments"])

#enrollments_fs1 = Grid.GridPartitionerTrimf(enrollments,6)

#tmp = chen.ConventionalFTS("")

pfts1_enrollments = pfts.ProbabilisticFTS("1")
#pfts1_enrollments.train(enrollments,enrollments_fs1,1)
#pfts1_enrollments.shortname = "1st Order"
#pfts2_enrollments = pfts.ProbabilisticFTS("2")
#pfts2_enrollments.dump = False
#pfts2_enrollments.shortname = "2nd Order"
#pfts2_enrollments.train(enrollments,enrollments_fs1,2)


#pfts1_enrollments.forecastAheadDistribution2(enrollments[:15],5,100)