Error in Optim

[marksale]

Hi, I'm running Julia 0.2.0 on Windows (64 bit). Running the example in doc for Rosenbrock.

for the command: optimize(f, [0.0, 0.0])

or

optimize(f, [0.0, 0.0], method = :nelder_mead) error message was: ERROR: no method OptimizationResults(ASIIString,Array{Float64,1}.Array{Float64,1},Float64,Int32,Bool, Bool, OptimizationTrace,Int32, Int32, Array{Float64,1})

same result for the Curve Fit Demo

a two-parameter exponential model

model(xpts, p) = p[1]_exp(-xpts._p[2])

some example data

xpts = linspace(0,10,20) data = model(xpts, [1.0 2.0]) + 0.01*randn(length(xpts))

beta, r, J = curve_fit(model, xpts, data, [0.5, 0.5])

beta = best fit parameters

r = vector of residuals

J = estimated Jacobian at solution

We can use these values to estimate errors on the fit parameters. To get 95% confidence error bars:

errors = estimate_errors(beta, r, J)

Any ideas? thanks Mark

[johnmyleswhite]

I just updated METADATA to track the latest Optim. I don't see this error on my system.

I'm particularly by this line:

OptimizationResults(ASIIString,Array{Float64,1}.Array{Float64,1},Float64,Int32,Bool, Bool, OptimizationTrace,Int32, Int32, Array{Float64,1})

I don't remember that typo existing in the codebase, but it would certainly be a major source of problems.

[marksale]

Is there anything else I can do/send to help track it down?

thanks for your help Mark

[marksale]

BTW, I've been using Julia for just over a week now, it is very possible I don't have required package installed, or other issues. (along with the fact that I'm not actually a programmer, I'm an MD)

[johnmyleswhite]

If you have git on your system, it would be very helpful to know which revision of Optim you have installed on your system.

Before answering that, can you run Pkg.update()?

[marksale]

Hm, ran Pkg.update(), seems to work now. I had version 0.1.4., now have version 0.1.5. Sorry for the bother Mark

[johnmyleswhite]

Not a bother at all: I released 0.1.5 because of this.