Hi everyone,

I am new in using Julia and I want to replicate my neural network code that I have written in Matlab in Julia, so I ask ChatGPT to write a simple code, but when I run it in Julia it returns me an error, can anyone, please, help me to figure out how to solve the problem, below is the code and an error message.

using Flux, Optim, LineSearches

## Define the input data and the target outputs

x = [0.1, 0.2, 0.3, 0.4]

y = [0.2, 0.4, 0.6, 0.8]## Define the number of hidden neurons

num_hidden = 5

## Define the neural network architecture

model = Chain(Dense(length(x), num_hidden, relu), Dense(num_hidden, 1))

## Define the loss function

loss(x, y) = Flux.mse(model(x), y)

## Define the initial parameter values

init_params = Flux.params(model)

## Load the LineSearches package

using LineSearches

## Define the optimizer and set the options for the Levenberg-Marquardt algorithm

optimizer = LBFGS(linesearch = BackTracking(Order(3)), # set the line search

x_tol=1e-12, # set the tolerance for the solution

g_tol=1e-8, # set the tolerance for the gradient

iterations = 10000, # set the maximum number of iterations

alphaguess = 1.0, # set the initial step size

store_trace = true) # store the history of optimization## Train the neural network using the Levenberg-Marquardt algorithm

Flux.train!(loss, init_params, [(x, y)], optimizer, cb = () → println("Training loss: ", loss(x, y)))

UndefVarError: Order not defined

Stacktrace:

[1] top-level scope

@ In[22]:23