From 0b1984f74568c65a6aac78ceafc5396dffaa869f Mon Sep 17 00:00:00 2001
From: Vikram <vikramsnarayan@gmail.com>
Date: Mon, 27 Jun 2022 20:00:16 +0530
Subject: [PATCH] remove unnecessary variables and comments

---
 src/GEKPLS.jl  | 7 ++-----
 test/GEKPLS.jl | 4 ----
 2 files changed, 2 insertions(+), 9 deletions(-)

diff --git a/src/GEKPLS.jl b/src/GEKPLS.jl
index facd34a9b..48e1e801a 100644
--- a/src/GEKPLS.jl
+++ b/src/GEKPLS.jl
@@ -73,7 +73,7 @@ function GEKPLS(X, y, grads, n_comp, delta_x, xlimits, extra_points, θ)
         y_mean,
         y_std,
     )
-    println("struct created")
+    
 end
 
 
@@ -140,6 +140,7 @@ function _ge_compute_pls(X, y, n_comp, grads, delta_x, xlimits, extra_points)
     # this function is equivalent to a combination of 
     # https://github.com/SMTorg/smt/blob/f124c01ffa78c04b80221dded278a20123dac742/smt/utils/kriging_utils.py#L1036
     # and https://github.com/SMTorg/smt/blob/f124c01ffa78c04b80221dded278a20123dac742/smt/surrogate_models/gekpls.py#L48
+
     nt, dim = size(X)
     XX = zeros(0, dim)
     yy = zeros(0, size(y)[2])
@@ -167,10 +168,6 @@ function _ge_compute_pls(X, y, n_comp, grads, delta_x, xlimits, extra_points)
         _X = X[i, :]' .+ bb_vals
         bb_vals = bb_vals .* grads[i, :]'
         _y = y[i, :] .+ sum(bb_vals, dims = 2)
-
-        #_pls.fit(_X, _y) # relic from sklearn versiom; retained for future reference.
-        #coeff_pls[:, :, i] = _pls.x_rotations_ #relic from sklearn versiom; retained for future reference.
-
         coeff_pls[:, :, i] = _modified_pls(_X, _y, n_comp) #_modified_pls returns the equivalent of SKLearn's _pls.x_rotations_
         if extra_points != 0
             start_index = max(1, length(coeff_pls[:, 1, i]) - extra_points + 1)
diff --git a/test/GEKPLS.jl b/test/GEKPLS.jl
index d3e91f366..fcda8b58b 100644
--- a/test/GEKPLS.jl
+++ b/test/GEKPLS.jl
@@ -44,7 +44,6 @@ function water_flow(x)
 end
 
 n = 1000
-d = 8
 lb = [0.05, 100, 63070, 990, 63.1, 700, 1120, 9855]
 ub = [0.15, 50000, 115600, 1110, 116, 820, 1680, 12045]
 x = sample(n, lb, ub, SobolSample())
@@ -103,7 +102,6 @@ function welded_beam(x)
 end
 
 n = 1000
-d = 3
 lb = [0.125, 5.0, 5.0]
 ub = [1.0, 10.0, 10.0]
 x = sample(n, lb, ub, SobolSample())
@@ -157,7 +155,6 @@ end
 
 ## 3D
 n = 100
-d = 3
 lb = [-5.0, -5.0, -5.0]
 ub = [5.0, 5.0, 5.0]
 x = sample(n, lb, ub, SobolSample())
@@ -183,7 +180,6 @@ end
 
 ## 2D
 n = 50
-d = 2
 lb = [-10.0, -10.0]
 ub = [10.0, 10.0]
 x = sample(n, lb, ub, SobolSample())