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from numpy import loadtxt, where, zeros, e, array, log, ones, append, linspace
from pylab import scatter, show, legend, xlabel, ylabel, contour, title
from scipy.optimize import fmin_bfgs
def sigmoid(X):
'''Compute the sigmoid function '''
#d = zeros(shape=(X.shape))
den = 1.0 + e ** (-1.0 * X)
def sigmoid(X):
'''Compute the sigmoid function '''
#d = zeros(shape=(X.shape))
den = 1.0 + e ** (-1.0 * X)
d = 1.0 / den
return d