[SciPy-User] Sum of squared errors in leastsq

[Jose Guzman]

Dear Scipy users,

I am trying to fit some data to different models with curve_fit. Does 
curve_fit or leastsq to return the sum of the squared errors or should I 
compute it manually*?

Thanks a lot in advance!

*)
val = np.array([mymodel(i, param) for i in xdata]-np.array(ydata))
np.sum(val**2)
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