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JuliaGaussianProcesses · Apr 7, 2022 · 37aeb0a · 37aeb0a
1 parent 1b09168
commit 37aeb0a
Showing 1 changed file with 5 additions and 5 deletions.
diff --git a/test/mean_function.jl b/test/mean_function.jl
@@ -2,13 +2,13 @@
     rng = MersenneTwister(123456)
     N, D = 5, 3
     x1 = randn(rng, N)
-    xD = ColVecs(randn(rng, D, N))
-    xD′ = RowVecs(randn(rng, N, D))
+    xD_colvecs = ColVecs(randn(rng, D, N))
+    xD_rowvecs = RowVecs(randn(rng, N, D))
 
     @testset "ZeroMean" begin
         m = ZeroMean{Float64}()
 
-        for x in [x1, xD, xD′]
+        for x in [x1, xD_colvecs, xD_rowvecs]
             @test AbstractGPs._map_meanfunction(m, x) == zeros(N)
             #differentiable_mean_function_tests(m, randn(rng, N), x)
 
@@ -28,7 +28,7 @@
         c = randn(rng)
         m = ConstMean(c)
 
-        for x in [x1, xD, xD′]
+        for x in [x1, xD_colvecs, xD_rowvecs]
             @test AbstractGPs._map_meanfunction(m, x) == fill(c, N)
             #differentiable_mean_function_tests(m, randn(rng, N), x)
         end
@@ -38,7 +38,7 @@
         foo_mean = x -> sum(abs2, x)
         m = CustomMean(foo_mean)
 
-        for x in [x1, xD, xD′]
+        for x in [x1, xD_colvecs, xD_rowvecs]
             @test AbstractGPs._map_meanfunction(m, x) == map(foo_mean, x)
             #differentiable_mean_function_tests(m, randn(rng, N), x)
         end