Merge b338f9b into 792408e

test/AD_compatibility.jl

@@ -3,7 +3,6 @@ using ForwardDiff
 using LinearAlgebra
 using Flux
 using Flux: @epochs
-using Tracker
 using Zygote
 #using Zygote: @nograd
 
@@ -94,94 +93,6 @@ my_second = SecondOrderPolynomialSurrogate(x,y,lb,ub)
 g = x -> ForwardDiff.gradient(my_second,x)
 g([2.0,5.0])
 
-### Tracker ###
-#=
-#1D
-lb = 0.0
-ub = 10.0
-n = 5
-x = sample(n,lb,ub,SobolSample())
-f = x -> x^2
-y = f.(x)
-
-#Radials
-my_rad = RadialBasis(x,y,lb,ub,x->norm(x),2)
-g = x -> Tracker.gradient(my_rad,x)
-g(5.0)
-
-#Kriging
-p = 1.5
-my_krig = Kriging(x,y,p)
-g = x -> Tracker.gradient(my_krig,x)
-g(5.0)
-
-#Linear Surrogate
-my_linear = LinearSurrogate(x,y,lb,ub)
-g = x -> Tracker.gradient(my_linear,x)
-g(5.0)
-
-#Inverse distance
-p = 1.4
-my_inverse = InverseDistanceSurrogate(x,y,p,lb,ub)
-g = x -> Tracker.gradient(my_inverse,x)
-g(5.0)
-
-#Lobachesky
-n = 4
-α = 2.4
-my_loba = LobacheskySurrogate(x,y,α,n,lb,ub)
-g = x -> Tracker.gradient(my_loba,x)
-g(5.0)
-
-#Second order polynomial
-my_second = SecondOrderPolynomialSurrogate(x,y,lb,ub)
-g = x -> Tracker.gradient(my_second,x)
-g(5.0)
-
-#ND
-lb = [0.0,0.0]
-ub = [10.0,10.0]
-n = 100
-x = sample(n,lb,ub,SobolSample())
-f = x -> x[1]*x[2]^2
-y = f.(x)
-
-#Radials
-my_rad = RadialBasis(x,y,[lb,ub],z->norm(z),2)
-g = x -> Tracker.gradient(my_rad,x)
-g([2.0,5.0])
-
-#Kriging
-theta = [2.0,2.0]
-p = [1.9,1.9]
-my_krig = Kriging(x,y,p,theta)
-g = x -> Tracker.gradient(my_krig,x)
-g([2.0,5.0])
-
-#Linear Surrogate
-my_linear = LinearSurrogate(x,y,lb,ub)
-g = x -> Tracker.gradient(my_linear,x)
-g([2.0,5.0])
-
-#Inverse Distance
-p = 1.4
-my_inverse = InverseDistanceSurrogate(x,y,p,lb,ub)
-g = x -> Tracker.gradient(my_inverse,x)
-g([2.0,5.0])
-
-#Lobachesky
-alpha = [1.4,1.4]
-n = 4
-my_loba_ND = LobacheskySurrogate(x,y,alpha,n,lb,ub)
-g = x -> Tracker.gradient(my_loba_ND,x)
-g([2.0,5.0])
-
-#Second order polynomial
-my_second = SecondOrderPolynomialSurrogate(x,y,lb,ub)
-g = x -> Tracker.gradient(my_second,x)
-g([2.0,5.0])
-=#
-
 ### ZYGOTE ###
 =#
 ###### 1D ######