Install pyfann and run some tests to verify
alinafe.matenda % brew install cmake /usr/local/lib/python2.7/site-packages/python-fann/FANN-2.2.0-Source
==> Downloading https://homebrew.bintray.com/bottles/cmake-3.5.2.el_capitan.bottle.tar.gz
######################################################################## 100.0%
==> Pouring cmake-3.5.2.el_capitan.bottle.tar.gz
==> Caveats
Emacs Lisp files have been installed to:
/usr/local/share/emacs/site-lisp/cmake
==> Summary
🍺 /usr/local/Cellar/cmake/3.5.2: 2,010 files, 27.5M
alinafe.matenda % cmake . /usr/local/lib/python2.7/site-packages/python-fann/FANN-2.2.0-Source
— The C compiler identification is AppleClang 7.3.0.7030031
— The CXX compiler identification is AppleClang 7.3.0.7030031
— Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/cc
— Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/cc — works
— Detecting C compiler ABI info
— Detecting C compiler ABI info – done
— Detecting C compile features
— Detecting C compile features – done
— Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/c++
— Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/c++ — works
-…………………
alinafe.matenda% sudo make install
……….
[100%] Built target doublefann
Install the project…
— Install configuration: “”
— Installing: /usr/local/lib/pkgconfig/fann.pc
— Installing: /usr/local/lib/libfloatfann.2.2.0.dylib
— Installing: /usr/local/lib/libfloatfann.2.dylib
— Installing: /usr/local/lib/libfloatfann.dylib
— Installing: /usr/local/lib/libdoublefann.2.2.0.dylib
— Installing: /usr/local/lib/libdoublefann.2.dylib
— Installing: /usr/local/lib/libdoublefann.dylib
— Installing: /usr/local/lib/libfixedfann.2.2.0.dylib
— Installing: /usr/local/lib/libfixedfann.2.dylib
— Installing: /usr/local/lib/libfixedfann.dylib
— Installing: /usr/local/lib/libfann.2.2.0.dylib
— Installing: /usr/local/lib/libfann.2.dylib
— Installing: /usr/local/lib/libfann.dylib
— Installing: /usr/local/include/fann.h
— Installing: /usr/local/include/doublefann.h
— Installing: /usr/local/include/fann_internal.h
— Installing: /usr/local/include/floatfann.h
— Installing: /usr/local/include/fann_data.h
— Installing: /usr/local/include/fixedfann.h
— Installing: /usr/local/include/compat_time.h
— Installing: /usr/local/include/fann_activation.h
— Installing: /usr/local/include/fann_cascade.h
— Installing: /usr/local/include/fann_error.h
— Installing: /usr/local/include/fann_train.h
— Installing: /usr/local/include/fann_io.h
— Installing: /usr/local/include/fann_cpp.h
alinafe.matenda% pwd
/usr/local/lib/python2.7/site-packages/python-fann/FANN-2.2.0-Source
alinafe.matenda% make runtest
/usr/local/lib/python2.7/site-packages/python-fann/FANN-2.2.0-Source/examples
gcc -O3 xor_train.c -o xor_train -lfann -lm
gcc -O3 xor_test.c -o xor_test -lfann -lm
gcc -O3 -DFIXEDFANN xor_test.c -o xor_test_fixed -lfixedfann -lm
gcc -O3 simple_train.c -o simple_train -lfann -lm
gcc -O3 steepness_train.c -o steepness_train -lfann -lm
gcc -O3 simple_test.c -o simple_test -lfann -lm
gcc -O3 robot.c -o robot -lfann -lm
gcc -O3 mushroom.c -o mushroom -lfann -lm
gcc -O3 cascade_train.c -o cascade_train -lfann -lm
gcc -O3 scaling_test.c -o scaling_test -lfann -lm
gcc -O3 scaling_train.c -o scaling_train -lfann -lm
Training network
./xor_train
Creating network.
Training network.
Max epochs 1000. Desired error: 0.0000000000.
Epochs 1. Current error: 0.3544595838. Bit fail 4.
Epochs 10. Current error: 0.0412630290. Bit fail 4.
Epochs 20. Current error: 0.0001692077. Bit fail 3.
Epochs 23. Current error: 0.0000335279. Bit fail 0.
Testing network. 0.000017
XOR test (-1.000000,-1.000000) -> -0.995908, should be -1.000000, difference=0.004092
XOR test (-1.000000,1.000000) -> 0.999355, should be 1.000000, difference=0.000645
XOR test (1.000000,-1.000000) -> 0.986100, should be 1.000000, difference=0.013900
XOR test (1.000000,1.000000) -> -0.992541, should be -1.000000, difference=0.007459
Saving network.
Cleaning up.
Testing network with floats
./xor_test
Creating network.
Layer / Neuron 0123456
L 1 / N 3 BCc….
L 1 / N 4 CBB….
L 1 / N 5 cCd….
L 1 / N 6 …….
L 2 / N 7 …dDDb
L 2 / N 8 …….
Input layer : 2 neurons, 1 bias
Hidden layer : 3 neurons, 1 bias
Output layer : 1 neurons
Total neurons and biases : 8
Total connections : 13
Connection rate : 1.000
Network type : FANN_NETTYPE_LAYER
Training algorithm : FANN_TRAIN_RPROP
Training error function : FANN_ERRORFUNC_TANH
Training stop function : FANN_STOPFUNC_BIT
Bit fail limit : 0.010
Learning rate : 0.700
Learning momentum : 0.000
Quickprop decay : -0.000100
Quickprop mu : 1.750
RPROP increase factor : 1.200
RPROP decrease factor : 0.500
RPROP delta min : 0.000
RPROP delta max : 50.000
Cascade output change fraction : 0.010000
Cascade candidate change fraction : 0.010000
Cascade output stagnation epochs : 12
Cascade candidate stagnation epochs : 12
Cascade max output epochs : 150
Cascade min output epochs : 50
Cascade max candidate epochs : 150
Cascade min candidate epochs : 50
Cascade weight multiplier : 0.400
Cascade candidate limit :1000.000
Cascade activation functions[0] : FANN_SIGMOID
Cascade activation functions[1] : FANN_SIGMOID_SYMMETRIC
Cascade activation functions[2] : FANN_GAUSSIAN
Cascade activation functions[3] : FANN_GAUSSIAN_SYMMETRIC
Cascade activation functions[4] : FANN_ELLIOT
Cascade activation functions[5] : FANN_ELLIOT_SYMMETRIC
Cascade activation functions[6] : FANN_SIN_SYMMETRIC
Cascade activation functions[7] : FANN_COS_SYMMETRIC
Cascade activation functions[8] : FANN_SIN
Cascade activation functions[9] : FANN_COS
Cascade activation steepnesses[0] : 0.250
Cascade activation steepnesses[1] : 0.500
Cascade activation steepnesses[2] : 0.750
Cascade activation steepnesses[3] : 1.000
Cascade candidate groups : 2
Cascade no. of candidates : 80
Testing network.
XOR test (-1.000000, -1.000000) -> -0.995908, should be -1.000000, difference=0.004092
XOR test (-1.000000, 1.000000) -> 0.999355, should be 1.000000, difference=0.000645
XOR test (1.000000, -1.000000) -> 0.986100, should be 1.000000, difference=0.013900
XOR test (1.000000, 1.000000) -> -0.992541, should be -1.000000, difference=0.007459
Cleaning up.
Testing network with fixed points
./xor_test_fixed
Creating network.
Layer / Neuron 0123456
L 1 / N 3 BCc….
L 1 / N 4 CBB….
L 1 / N 5 cCd….
L 1 / N 6 …….
L 2 / N 7 …dDDb
L 2 / N 8 …….
Input layer : 2 neurons, 1 bias
Hidden layer : 3 neurons, 1 bias
Output layer : 1 neurons
Total neurons and biases : 8
Total connections : 13
Connection rate : 1.000
Network type : FANN_NETTYPE_LAYER
Decimal point : 13
Multiplier :8192
Bit fail limit : 82
Testing network.
XOR test (-8192, -8192) -> -8192, should be -8192, difference=0.000000
XOR test (-8192, 8192) -> 8192, should be 8192, difference=0.000000
XOR test (8192, -8192) -> 7921, should be 8192, difference=0.033081
XOR test (8192, 8192) -> -8192, should be -8192, difference=0.000000
Cleaning up.
reference:
http://leenissen.dk/fann/wp/help/installing-fann/
