There's lots of potential options. Can you specify your problem a little more? What type of data? How non-linear? Are we fitting a polynomial? SVM? ANN? Online vs batch? How much noise? What sort of stats do you want?
On Thursday, May 26, 2016, Jan Drugowitsch <[email protected]> wrote: > Hi all, > > I have some nonlinear regression problems that I'd like to solve. > Unfortunately, NLreg.jl doesn't seem to work on my Julia 0.4.5 > installation, but instead fails on the README example code with > > julia> const sd1 = readtable(Pkg.dir("NLreg","data","sd1.csv.gz")); > > > julia> nl = fit(BolusSD1(CONC ~ TIME, sd1)) > WARNING: [a,b] concatenation is deprecated; use [a;b] instead > in depwarn at deprecated.jl:73 > in oldstyle_vcat_warning at /Applications/Julia-0.4.5.app/Contents/ > Resources/julia/lib/julia/sys.dylib > in call at /Users/jandrugowitsch/.julia/v0.4/NLreg/src/plreg.jl:119 > in fit at /Users/jandrugowitsch/.julia/v0.4/NLreg/src/plreg.jl:204 > while loading no file, in expression starting on line 0 > ERROR: type Array has no field data > in gpinc at /Users/jandrugowitsch/.julia/v0.4/NLreg/src/plreg.jl:143 > in gpfit at /Users/jandrugowitsch/.julia/v0.4/NLreg/src/plreg.jl:159 > in fit at /Users/jandrugowitsch/.julia/v0.4/NLreg/src/plreg.jl:204 > > > In general, NLreg.jl hasn't been updated since 2014. Are there any more > up-to-date Julia packages for nonlinear regression? > > I know that I could always use optimizers, but then I won't get all the > extra statistics that I would need. > > Thanks, > Jan >
