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StanOptimize.jl v3 is a breaking change.
While in StanOptimize.jl v2 one could select Bfgs as optimization algorithm:
om = OptimizeModel("bernoulli", bernoulli_model;
method=StanOptimize.Optimize(;method=StanOptimize.Bfgs()),
#tmpdir = joinpath(@__DIR__, "tmp"));
tmpdir = mktempdir());
rc = stan_optimize(om; data, init)In StanOptimize.jl v3:
om = OptimizeModel("bernoulli", bernoulli_model)
rc = stan_optimize(om; data, init, algorithm=:bfgs)See ??OptimizeModel and ??stan_optimize.
This package is registered. Install with
pkg> add StanOptimizeYou need a working cmdstan installation, the path of which you should specify in either CMDSTAN or JULIA_CMDSTAN_HOME, eg in your ~/.julia/config/startup.jl` have a line like
# CmdStan setup
ENV["CMDSTAN"] = expanduser("~/src/cmdstan-2.35.0/") # replace with your pathThis package is derived from Tamas Papp's StanRun.jl package.
It is recommended that you start your Julia process with multiple worker processes to take advantage of parallel sampling, eg
julia -p autoOtherwise, stan_sample will use a single process.
Use this package like this:
using StanOptimizeSee the docstrings (in particular ?StanOptimize) for more.