Remove accidental comments

Author: willtebbutt

src/kernels/exponentiated.jl

@@ -7,10 +7,6 @@ The exponentiated kernel is a Mercer kernel given by:
 """
 struct ExponentiatedKernel{Tr} <: Kernel{Tr}
     transform::Tr
-
-    # function ExponentiatedKernel{T,Tr}(transform::Tr) where {T,Tr<:Transform}
-    #     return new{T,Tr}(transform)
-    # end
 end
 @inline kappa(κ::ExponentiatedKernel, xᵀy::T) where {T<:Real} = exp(xᵀy)
 

test/runtests.jl

@@ -12,5 +12,5 @@ include("test_distances.jl")
 include("test_kernels.jl")
 include("test_generic.jl")
 include("test_adjoints.jl")
-#     #include("types.jl")
+    #include("types.jl")
 end

test/test_kernelmatrix.jl

@@ -50,21 +50,21 @@ k = SqExponentialKernel()
         k1 = SqExponentialKernel()
         k2 = LinearKernel()
         k3 = RationalQuadraticKernel()
-        # kp = k1 * k2
-        # kp2 = k1 * k3
-        # @test all(KernelFunctions.metric(kp).==[KernelFunctions.metric(k1),KernelFunctions.metric(k2)])
-        # @test all(kernelmatrix(kp,A) .≈ kernelmatrix(k1,A) .* kernelmatrix(k2,A))
-        # @test all(kernelmatrix(kp*k1,A) .≈ kernelmatrix(k1,A).^2 .* kernelmatrix(k2,A))
-        # @test all(kernelmatrix(k1*kp,A) .≈ kernelmatrix(k1,A).^2 .* kernelmatrix(k2,A))
-        # @test all(kernelmatrix(kp,A) .≈ kernelmatrix(k1,A) .* kernelmatrix(k2,A))
-        # @test all(kernelmatrix(kp,A,B) .≈ kernelmatrix(k1,A,B) .* kernelmatrix(k2,A,B))
-        # @test all(kernelmatrix(kp,A) .≈ kernelmatrix(k1,A) .* kernelmatrix(k2,A))
-        # @test all(kerneldiagmatrix(kp,A) .== kerneldiagmatrix(k1,A) .* kerneldiagmatrix(k2,A))
+        kp = k1 * k2
+        kp2 = k1 * k3
+        @test all(KernelFunctions.metric(kp).==[KernelFunctions.metric(k1),KernelFunctions.metric(k2)])
+        @test all(kernelmatrix(kp,A) .≈ kernelmatrix(k1,A) .* kernelmatrix(k2,A))
+        @test all(kernelmatrix(kp*k1,A) .≈ kernelmatrix(k1,A).^2 .* kernelmatrix(k2,A))
+        @test all(kernelmatrix(k1*kp,A) .≈ kernelmatrix(k1,A).^2 .* kernelmatrix(k2,A))
+        @test all(kernelmatrix(kp,A) .≈ kernelmatrix(k1,A) .* kernelmatrix(k2,A))
+        @test all(kernelmatrix(kp,A,B) .≈ kernelmatrix(k1,A,B) .* kernelmatrix(k2,A,B))
+        @test all(kernelmatrix(kp,A) .≈ kernelmatrix(k1,A) .* kernelmatrix(k2,A))
+        @test all(kerneldiagmatrix(kp,A) .== kerneldiagmatrix(k1,A) .* kerneldiagmatrix(k2,A))
+    end
+    @testset "PDMat" begin
+        for obsdim in [1,2]
+            @test all(Matrix(kernelpdmat(k,A,obsdim=obsdim)) .≈ Matrix(PDMat(kernelmatrix(k,A,obsdim=obsdim))))
+            # @test_throws ErrorException kernelpdmat(k,ones(100,100),obsdim=obsdim)
+        end
     end
-    # @testset "PDMat" begin
-    #     for obsdim in [1,2]
-    #         @test all(Matrix(kernelpdmat(k,A,obsdim=obsdim)) .≈ Matrix(PDMat(kernelmatrix(k,A,obsdim=obsdim))))
-    #         # @test_throws ErrorException kernelpdmat(k,ones(100,100),obsdim=obsdim)
-    #     end
-    # end
 end