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Refatoração dos códigos para padronizar com a rfts - Ismail & Efendi

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Petrônio Cândido de Lima e Silva 2016-10-18 17:48:02 -02:00
parent aa7389e228
commit 81f98d81e1
1 changed files with 25 additions and 24 deletions
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ismailefendi.py
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@ -31,30 +31,31 @@ class ImprovedWeightedFTS(fts.FTS):
def __init__(self,name): def __init__(self,name):
super(ImprovedWeightedFTS, self).__init__(1,name) super(ImprovedWeightedFTS, self).__init__(1,name)
def forecast(self,data): def generateFLRG(self, flrs):
actual = self.fuzzy(data) flrgs = {}
if actual["fuzzyset"] not in self.flrgs: for flr in flrs:
return self.sets[actual["fuzzyset"]].centroid if flr.LHS in flrgs:
flrg = self.flrgs[actual["fuzzyset"]] flrgs[flr.LHS].append(flr.RHS)
mi = np.array([self.sets[s].centroid for s in flrg.RHS.keys()]) else:
return mi.dot( flrg.weights() ) flrgs[flr.LHS] = ImprovedWeightedFLRG(flr.LHS);
flrgs[flr.LHS].append(flr.RHS)
return (flrgs)
def train(self, data, sets): def train(self, data, sets):
last = {"fuzzyset":"", "membership":0.0} self.sets = sets
actual = {"fuzzyset":"", "membership":0.0} tmpdata = common.fuzzySeries(data,sets)
flrs = common.generateRecurrentFLRs(tmpdata)
self.flrgs = self.generateFLRG(flrs)
for s in sets: def forecast(self,data):
self.sets[s.name] = s mv = common.fuzzyInstance(data, self.sets)
self.flrgs = {} actual = self.sets[ np.argwhere( mv == max(mv) )[0,0] ]
count = 1
for inst in data:
actual = self.fuzzy(inst)
if count > self.order: if actual.name not in self.flrgs:
if last["fuzzyset"] not in self.flrgs: return actual.centroid
self.flrgs[last["fuzzyset"]] = ImprovedWeightedFLRG(last["fuzzyset"])
self.flrgs[last["fuzzyset"]].append(actual["fuzzyset"]) flrg = self.flrgs[actual.name]
count = count + 1
last = actual mi = np.array([self.sets[s].centroid for s in flrg.RHS.keys()])
return mi.dot( flrg.weights() )