add info statement

CliMA · Jul 31, 2024 · f2fc580 · f2fc580
1 parent f798b27
commit f2fc580
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Showing 2 changed files with 2 additions and 3 deletions.
diff --git a/src/Emulator.jl b/src/Emulator.jl
@@ -220,10 +220,9 @@ function predict(
 
     # [1.] normalize
     normalized_new_inputs = normalize(emulator, new_inputs)
-
     # [2.]  predict. Note: ds = decorrelated, standard
     ds_outputs, ds_output_var = predict(emulator.machine_learning_tool, normalized_new_inputs, mlt_kwargs...)
-
+    
     # [3.] transform back to real coordinates or remain in decorrelated coordinates
     if !isa(get_machine_learning_tool(emulator), VectorRandomFeatureInterface)
         if transform_to_real && emulator.decomposition === nothing
@@ -312,6 +311,7 @@ function calculate_normalization(inputs::VOrM) where {VOrM <: AbstractVecOrMat}
         svd_in = svd(input_cov)
         sqrt_inv_sv = 1 ./ sqrt.(svd_in.S[1:rank(input_cov)])
         normalization = Diagonal(sqrt_inv_sv) * svd_in.Vt[1:rank(input_cov), :] #non-square
+        @info "reducing input dimension from $(size(input_cov,1)) to $rank(input_cov) during low rank in normalization"
     end
     return normalization
 end

diff --git a/src/VectorRandomFeature.jl b/src/VectorRandomFeature.jl
@@ -473,7 +473,6 @@ function build_models!(
         Γ[1:(n_test * output_dim), 1:(n_test * output_dim)] +=
             isa(regularization, UniformScaling) ? regularization : kron(I(n_test), regularization) # + approx_σ2
         Γ[(n_test * output_dim + 1):end, (n_test * output_dim + 1):end] += I
-        @info Γ[(n_test * output_dim + 1):end, (n_test * output_dim + 1):end]
         data = vcat(reshape(get_outputs(io_pairs_opt)[:, (n_train + 1):end], :, 1), 0.0, 0.0) #flatten data
 
     elseif tikhonov_opt_val > 0