Created
January 8, 2016 16:53
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| def Cost_Function_Derivative(X,Y,theta,j,m,alpha): | |
| sumErrors = 0 | |
| for i in xrange(m): | |
| xi = X[i] | |
| xij = xi[j] | |
| hi = Hypothesis(theta,X[i]) | |
| error = (hi - Y[i])*xij | |
| sumErrors += error | |
| m = len(Y) | |
| constant = float(alpha)/float(m) | |
| J = constant * sumErrors | |
| return J |
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