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calculate the sum of squared residuals more pythonic

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neingeist 2014-04-20 21:41:51 +02:00
parent e2f569ff97
commit 90b5fb26ec
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least-squares.py
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@ -16,9 +16,7 @@ yn = [6, 5, 7, 10, 11, 12, 14]
# #
# For each data point the vertical error/residual is x*b1 + b2 - y. We want to # For each data point the vertical error/residual is x*b1 + b2 - y. We want to
# minimize the sum of the squared residuals (least squares). # minimize the sum of the squared residuals (least squares).
S = Symbol('0') S = sum((xn[i] * b1 + b2 - yn[i]) ** 2 for i in range(0, len(xn)))
for i in range(0, len(xn)):
S += (xn[i] * b1 + b2 - yn[i]) ** 2
print(S) print(S)
# Minimize S by setting its partial derivatives to zero. # Minimize S by setting its partial derivatives to zero.