Iterate named tuples, fixes #42

Project.toml

@@ -1,7 +1,7 @@
 name = "Hyperopt"
 uuid = "93e5fe13-2215-51db-baaf-2e9a34fb2712"
 author = ["Fredrik Bagge Carlson <[email protected]>"]
-version = "0.3.4"
+version = "0.3.5"
 
 [deps]
 BayesianOptimization = "4c6ed407-134f-591c-93fa-e0f7c164a0ec"

src/Hyperopt.jl

@@ -50,7 +50,8 @@ function Base.iterate(ho::Hyperoptimizer, state=1)
     state > ho.iterations && return nothing
     samples = ho.sampler(ho, state)
     push!(ho.history, samples)
-    [state;samples], state+1
+    nt = (; Pair.([:i, ho.params...], [state; samples])...)
+    nt, state+1
 end
 
 function preprocess_expression(ex)

src/samplers.jl

@@ -147,7 +147,7 @@ function (s::GPSampler)(ho, iter)
     # iters = 3000
     ho2 = Hyperoptimizer(iterations=iters, params=ho.params, candidates=s.candidates)
     for params in ho2
-        params2 = params[2:end]
+        params2 = collect(params)[2:end]
         res = -Inf
         try
             res = acqfunc(params2)

test/runtests.jl

@@ -111,6 +111,11 @@ f(a,b=true;c=10) = sum(@. 100 + (a-3)^2 + (b ? 10 : 20) + (c-100)^2) # This func
             println(i, "\t", a, "\t", b, "\t", c)
         end
 
+        ho = Hyperoptimizer(10, a = range(1, stop=2, length=50), b = [true, false], c = randn(100))
+        for vals in ho
+            println(vals.i, "\t", vals.a, "\t", vals.b, "\t", vals.c)
+        end
+
     end