Fix a name changed in benchmark

TuringLang · May 5, 2017 · a95c1de · a95c1de
1 parent 15c6c8a
commit a95c1de
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Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/benchmarks/benchmark.jl b/benchmarks/benchmark.jl
@@ -8,7 +8,7 @@ CONFIG = Dict(
     "gdemo-geweke",
     "naive.bayes",
     #"normal-loc",
-    "simple-normal-mixture",
+    "normal-mixture",
     "simplegauss",
     "gauss",
     "bernoulli",

diff --git a/benchmarks/normal-mixture-stan.run.jl b/benchmarks/normal-mixture-stan.run.jl
@@ -3,8 +3,8 @@ using Turing
 using Stan
 
 include(Pkg.dir("Turing")*"/benchmarks/benchmarkhelper.jl")
-include(Pkg.dir("Turing")*"/example-models/stan-models/simple-normal-mixture-stan.data.jl")
-include(Pkg.dir("Turing")*"/example-models/stan-models/simple-normal-mixture-stan.model.jl")
+include(Pkg.dir("Turing")*"/example-models/stan-models/normal-mixture-stan.data.jl")
+include(Pkg.dir("Turing")*"/example-models/stan-models/normal-mixture-stan.model.jl")
 
 stan_model_name = "normalmixture"
 simplenormalmixturestan = Stanmodel(name=stan_model_name, model=simplenormalmixturemodel, nchains=1);

diff --git a/benchmarks/normal-mixture.run.jl b/benchmarks/normal-mixture.run.jl
@@ -3,14 +3,14 @@ using Turing
 using Stan
 
 include(Pkg.dir("Turing")*"/benchmarks/benchmarkhelper.jl")
-include(Pkg.dir("Turing")*"/example-models/stan-models/simple-normal-mixture-stan.data.jl")
-include(Pkg.dir("Turing")*"/example-models/stan-models/simple-normal-mixture.model.jl")
+include(Pkg.dir("Turing")*"/example-models/stan-models/normal-mixture-stan.data.jl")
+include(Pkg.dir("Turing")*"/example-models/stan-models/normal-mixture.model.jl")
 
 # NOTE: I only run a sub-set of the data as running the whole is quite slow
 bench_res = tbenchmark("Gibbs(1000, HMC(1, 0.05, 1, :theta), PG(50, 1, :k), HMC(1, 0.2, 3, :mu))", "nmmodel", "y[1:100]")
 logd = build_logd("Simple Gaussian Mixture Model", bench_res...)
 
-include("simple-normal-mixture-stan.run.jl")
+include("normal-mixture-stan.run.jl")
 logd["stan"] = Dict("theta" => mean(nm_theta), "mu[1]" => mean(nm_mu_1), "mu[2]" =>mean(nm_mu_2))
 logd["time_stan"] = nm_time