curve_fit now returns a single object of type LsqFitResult. According to the
README:
# fit is a composite type (LsqFitResult), with some interesting values:
# fit.dof: degrees of freedom
# fit.param: best fit parameters
# fit.resid: residuals = vector of residuals
# fit.jacobian: estimated
im using the code in the blog post
model(xdata,p) = p[1]*cos(p[2]*xdata)+p[2]*sin(p[1]*xdata)
xdata = [-2,-1.64,-1.33,-0.7,0,0.45,1.2,1.64,2.32,2.9]
ydata =
[0.699369,0.700462,0.695354,1.03905,1.97389,2.41143,1.91091,0.919576,-0.730975,-1.42001]
beta, r, J = curve_fit(model, xdata, ydata, [1.0,
Can you post the code you are trying to run? Which Julia version are you on?
The example given on https://github.com/JuliaOpt/LsqFit.jl works fine here on
0.3.6.
Am 03.03.2015 um 22:55 schrieb Andrei Berceanu :
> i now get
> `start` has no method matching start(::LsqFitResult{Float64})
>
>
i now get
`start` has no method matching start(::LsqFitResult{Float64})
On Tuesday, March 3, 2015 at 10:41:11 PM UTC+1, René Donner wrote:
>
> Looks like curve_fit has been moved to
> https://github.com/JuliaOpt/LsqFit.jl
>
>
> Am 03.03.2015 um 22:30 schrieb Andrei Berceanu >:
>
> > i found
Looks like curve_fit has been moved to https://github.com/JuliaOpt/LsqFit.jl
Am 03.03.2015 um 22:30 schrieb Andrei Berceanu :
> i found this post concerning nonlinear curve fitting in Julia,
> http://www.walkingrandomly.com/?p=5181
> but it appears the curve_fit method no longer exists
>
> doe
i found this post concerning nonlinear curve fitting in Julia,
http://www.walkingrandomly.com/?p=5181
but it appears the curve_fit method no longer exists
does anyone have an updated version?
