allow a bit of aboslute tolerance deviation in a test,

otherwise, we require absolute equality when one of the values are 0.0
JuliaStats · Apr 17, 2024 · b3c5d7a · b3c5d7a
1 parent 9c68bd5
commit b3c5d7a
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/test/kpca.jl b/test/kpca.jl
@@ -30,7 +30,7 @@ import Statistics: mean, cov
         Z = K - I1*K - K*I2 + I1*K*I2
 
         KC = fit(MultivariateStats.KernelCenter, K)
-        @test all(Z .≈ MultivariateStats.transform!(KC, copy(K)))
+        @test all(.≈(Z, MultivariateStats.transform!(KC, copy(K)); atol=1e-12))
     end
 
     # kernel calculations