def test():
x = asarray([gauss(0, 1) for i in range(1000)])
y1 = asarray([int(e > 0) for e in x])
y2 = asarray([randint(0, 1) for e in x])
hx, bx = histogram(x, bins=x.size / 10, density=True)
dx = digitize(x, bx)
print "X ~ N(0,1)"
print "y1 = 1 <=> x > 0"
print "y2 = 1 con probabilidad 0.5"
print
print "I(y1;x) = H(X) - H(X|Y1) = %.02f" % (mi.mutual_information(x, y1))
print "I(y1;x) = H(Y1) - H(Y1|X) = %.02f" % (mi.mutual_information(y1, dx))
print
print "I(y2;x) = H(X) - H(X|Y2) = %.02f" % (mi.mutual_information(x, y2))
print "I(y2;x) = H(Y2) - H(Y2|X) = %.02f" % (mi.mutual_information(y2, dx))
def MSE(self, imageA, imageB): return MI.mutual_information(imageA, imageB)
