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TODO added

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Ricardo Andrade 2013-01-23 16:12:04 +00:00
parent bc735cbba2
commit b2bc978767
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GPy/inference/likelihoods.py
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@ -138,6 +138,7 @@ class poisson(likelihood):
width = 3./np.log(max(self.Y[i],2)) width = 3./np.log(max(self.Y[i],2))
# Simpson's approximamtion # Simpson's approximamtion
#TODO explain this algorithm
A = opt - width A = opt - width
B = opt + width B = opt + width
K = 10*int(np.log(max(self.Y[i],150))) K = 10*int(np.log(max(self.Y[i],150)))