forked from ahmadia/homebrew-science
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathfann.rb
54 lines (50 loc) · 1.55 KB
/
fann.rb
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
class Fann < Formula
homepage "http://leenissen.dk/fann/wp/"
url "https://downloads.sourceforge.net/project/fann/fann/2.2.0/FANN-2.2.0-Source.tar.gz"
sha256 "3d6ee056dab91f3b34a3f233de6a15331737848a4cbdb4e0552123d95eed4485"
depends_on "cmake" => :build
option :universal
def install
ENV.universal_binary if build.universal?
system "cmake", ".", *std_cmake_args
system "make", "install"
end
test do
(testpath/"xor.data").write <<-EOS.undent
4 2 1
-1 -1
-1
-1 1
1
1 -1
1
1 1
-1
EOS
(testpath/"test.c").write <<-EOS.undent
#include "fann.h"
int main()
{
const unsigned int num_input = 2;
const unsigned int num_output = 1;
const unsigned int num_layers = 3;
const unsigned int num_neurons_hidden = 3;
const float desired_error = (const float) 0.001;
const unsigned int max_epochs = 500000;
const unsigned int epochs_between_reports = 1000;
struct fann *ann = fann_create_standard(num_layers, num_input,
num_neurons_hidden, num_output);
fann_set_activation_function_hidden(ann, FANN_SIGMOID_SYMMETRIC);
fann_set_activation_function_output(ann, FANN_SIGMOID_SYMMETRIC);
fann_train_on_file(ann, "xor.data", max_epochs,
epochs_between_reports, desired_error);
fann_save(ann, "xor_float.net");
fann_destroy(ann);
return 0;
}
EOS
system ENV.cc, "-o", "test", "test.c", "-lfann"
system "./test"
system "cat xor_float.net"
end
end