5c8c80cd8d
- statsmodels ARIMA wrapper for benchmarks - method refactoring at PWFTS - auto_update at PWFTS - method refactoring at ResidualAnalysis
31 lines
1.0 KiB
Python
31 lines
1.0 KiB
Python
import numpy as np
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import math
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import random as rnd
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import functools, operator
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from pyFTS.common import FuzzySet, Membership
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from pyFTS.partitioners import partitioner
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class GridPartitioner(partitioner.Partitioner):
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def __init__(self, data, npart, func = Membership.trimf, transformation=None):
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super(GridPartitioner, self).__init__("Grid", data, npart, func=func, transformation=transformation)
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def build(self, data):
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sets = []
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dlen = self.max - self.min
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partlen = dlen / self.partitions
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count = 0
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for c in np.arange(self.min, self.max, partlen):
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if self.membership_function == Membership.trimf:
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sets.append(
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FuzzySet.FuzzySet(self.prefix + str(count), Membership.trimf, [c - partlen, c, c + partlen],c))
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elif self.membership_function == Membership.gaussmf:
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sets.append(
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FuzzySet.FuzzySet(self.prefix + str(count), Membership.gaussmf, [c, partlen / 3], c))
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count += 1
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return sets
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