def finish(self): if self.v.size() == 0: self.pdf = OpdfGaussian(0.5, 0.05) return try: self.pdf.fit(self.v) self.pdf.distribution.variance += 0.05 except: self.pdf = OpdfGaussian(self.v.get(0).value, 0.05)
def finish(self):
if self.v.size() == 0:
self.pdf = OpdfGaussian(0.5, 0.05)
return
try:
self.pdf.fit(self.v)
self.pdf.distribution.variance += 0.05
except:
self.pdf = OpdfGaussian(self.v.get(0).value, 0.05)
class ContDist(object):
def __init__(self, varName):
self.varName = varName
self.v = Vector()
self.pdf = OpdfGaussian()
def addExample(self, d):
value = d[self.varName]
self.v.add(ObservationReal(value))
def finish(self):
if self.v.size() == 0:
self.pdf = OpdfGaussian(0.5, 0.05)
return
try:
self.pdf.fit(self.v)
self.pdf.distribution.variance += 0.05
except:
self.pdf = OpdfGaussian(self.v.get(0).value, 0.05)
def density(self, v):
return self.pdf.probability(ObservationReal(v))
class ContDist(object): def __init__(self, varName): self.varName = varName self.v = Vector() self.pdf = OpdfGaussian() def addExample(self, d): value = d[self.varName] self.v.add(ObservationReal(value)) def finish(self): if self.v.size() == 0: self.pdf = OpdfGaussian(0.5, 0.05) return try: self.pdf.fit(self.v) self.pdf.distribution.variance += 0.05 except: self.pdf = OpdfGaussian(self.v.get(0).value, 0.05) def density(self, v): return self.pdf.probability(ObservationReal(v))
def __init__(self, varName): self.varName = varName self.v = Vector() self.pdf = OpdfGaussian()
def __init__(self, varName):
self.varName = varName
self.v = Vector()
self.pdf = OpdfGaussian()