Hi
I have had a play with the site and come down to this equation
y = a + b*ln(f*x) + c*ln(f*x)2 + d*ln(f*x)3
generating the best fit for my data.
What I'd like to do now is code this in python somehow so as I generate "similar" data I can generate the
coefficients locally without having to take time on your server.
Do you have any pointers to how the coefficients to this function can be found using python? I had a poke
around with curve_fit from scipy.optimize, feeding it the same data I get coefficients of
a = -3.36852072e+02
b = 2.66488521e+02
c = -5.42969253e+01
d = 3.62117782e+00
e = 2.20000551e-04
but you give me
a = -1.8946171615656505E+02
b = 2.0231670330576478E+02
c = -4.7444908201945879E+01
d = 3.6211737000212514E+00
f = 1.1708550299621606E-04
But i'm a bit lost as to why they are different or what I can do to get them the same?
Are you using something entirely different to solve this problem?
--
Jason