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CliMA · Jan 4, 2024 · 7abdb55 · 7abdb55
1 parent c2c4048
commit 7abdb55
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Showing 3 changed files with 5 additions and 7 deletions.
diff --git a/src/GaussianProcess.jl b/src/GaussianProcess.jl
@@ -265,7 +265,7 @@ function build_models!(
         # data_i:    (N_samples,)
         println(m.kernel)
         println(size(input_values), " ", size(data_i))
-               
+
         ScikitLearn.fit!(m, input_values, data_i)
         @info "test here -after calling fit"
         if i == 1

diff --git a/test/Emulator/MWE.jl b/test/Emulator/MWE.jl
@@ -11,16 +11,14 @@ end
 function minimal_failing_example()
     # some kind of kernel
     kernel = pykernels.ConstantKernel(constant_value = 1.0)
-    
+
     # some data
     n = 20                                       # number of training points
     x = reshape(2.0 * π * rand(n), 1, n)         # predictors/features: 1 x n
     y = reshape(sin.(x) + 0.05 * randn(n)', 1, n) # predictands/targets: 1 x n
 
     # the model
-    m = pyGP.GaussianProcessRegressor(
-        kernel = kernel,
-    )
+    m = pyGP.GaussianProcessRegressor(kernel = kernel)
 
     # call fit!
     ScikitLearn.fit!(m, x, y)

diff --git a/test/GaussianProcess/runtests.jl b/test/GaussianProcess/runtests.jl
@@ -108,10 +108,10 @@ using CalibrateEmulateSample.DataContainers
     se = pykernels.RBF(1.0)
     GPkernel = var * se
 
-@info "pre GP"
+    @info "pre GP"
 
     gp3 = GaussianProcess(gppackage; kernel = GPkernel, noise_learn = true, prediction_type = pred_type)
-@info " post GP pre emulator"
+    @info " post GP pre emulator"
     em3 = Emulator(
         gp3,
         iopairs,