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utils

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Nicolo Fusi 2012-11-29 16:26:21 +00:00
parent e1b766a8dd
commit aa13e095a9
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GPy/util/squashers.py Normal file
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import numpy as np
def sigmoid(x):
return 1./(1.+np.exp(-x))
def softmax(x):
ex = np.exp(x-x.max(1)[:,None])
return ex/ex.sum(1)[:,np.newaxis]
def single_softmax(x):
ex = np.exp(x)
return ex/ex.sum()