fann_set_bit_fail_limit() fails to actually set the bit fail limit, forcing me to manually edit the ANN file
struct fann *ann;
ann = fann_create_standard(3, 600, 1200, 30);
fann_set_activation_function_hidden(ann, FANN_SIGMOID);
fann_set_activation_function_output(ann, FANN_SIGMOID);
fann_set_bit_fail_limit(ann, 0.002);
fann_save(ann, "ann.net");
Whenever I load this neural network from the file and read fann_get_bit_fail_limit(), the returned value is the default 0.35 instead of the 0.002 I tried to set. I have to edit the ANN file manually for it to take effect.
I am using doublefann.h. Am I doing something wrong?
c++ fann
asked Nov 24 '18 at 23:18
daedsidogdaedsidog
1,3362828
add a comment |
struct fann *ann;
ann = fann_create_standard(3, 600, 1200, 30);
fann_set_activation_function_hidden(ann, FANN_SIGMOID);
fann_set_activation_function_output(ann, FANN_SIGMOID);
fann_set_bit_fail_limit(ann, 0.002);
fann_save(ann, "ann.net");
Whenever I load this neural network from the file and read fann_get_bit_fail_limit(), the returned value is the default 0.35 instead of the 0.002 I tried to set. I have to edit the ANN file manually for it to take effect.
I am using doublefann.h. Am I doing something wrong?
c++ fann
asked Nov 24 '18 at 23:18
daedsidogdaedsidog
1,3362828
add a comment |
struct fann *ann;
ann = fann_create_standard(3, 600, 1200, 30);
fann_set_activation_function_hidden(ann, FANN_SIGMOID);
fann_set_activation_function_output(ann, FANN_SIGMOID);
fann_set_bit_fail_limit(ann, 0.002);
fann_save(ann, "ann.net");
Whenever I load this neural network from the file and read fann_get_bit_fail_limit(), the returned value is the default 0.35 instead of the 0.002 I tried to set. I have to edit the ANN file manually for it to take effect.
I am using doublefann.h. Am I doing something wrong?
c++ fann
asked Nov 24 '18 at 23:18
daedsidogdaedsidog
1,3362828
struct fann *ann;
ann = fann_create_standard(3, 600, 1200, 30);
fann_set_activation_function_hidden(ann, FANN_SIGMOID);
fann_set_activation_function_output(ann, FANN_SIGMOID);
fann_set_bit_fail_limit(ann, 0.002);
fann_save(ann, "ann.net");
Whenever I load this neural network from the file and read fann_get_bit_fail_limit(), the returned value is the default 0.35 instead of the 0.002 I tried to set. I have to edit the ANN file manually for it to take effect.
I am using doublefann.h. Am I doing something wrong?
c++ fann
c++ fann
asked Nov 24 '18 at 23:18
daedsidogdaedsidog
1,3362828
asked Nov 24 '18 at 23:18
daedsidogdaedsidog
1,3362828
asked Nov 24 '18 at 23:18
daedsidogdaedsidog
1,3362828
asked Nov 24 '18 at 23:18
daedsidogdaedsidog
1,3362828
asked Nov 24 '18 at 23:18
daedsidogdaedsidog
1,3362828
1,3362828
add a comment |
add a comment |
1 Answer
1
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oldest
votes
"Am I doing something wrong?"
As per Documentation - FANN Training > Parameters > fann_get_bit_fail_limit (emphasis added) :
The bit fail limit is used during training where the fann_stopfunc_enum is set to
FANN_STOPFUNC_BIT.
Example :
fann_set_train_stop_function(ann, FANN_STOPFUNC_BIT);
fann_set_bit_fail_limit(ann, 0.002);
fann_save(ann, "ann.net");
Just in case:
I am using
doublefann.h.
Link -ldoublefann instead of -lfann.
answered Nov 25 '18 at 15:17
user4157124user4157124
2,21451333
I figured as such by myself by messing around with it. I did use the bit stop function, but it didn't occur to me to use it as a training function, because unlike the other training functions, this one does not begin withfann_set_train_.
– daedsidog
Nov 25 '18 at 17:37
@daedsidog Training algorithm, -stop function and -error function are distinct parameters to the process;fann_set_train_error_functionhasFANN_ERRORFUNC_TANH"... not recommended for cascade training and incremental training.".
– user4157124
Nov 26 '18 at 1:23
add a comment |
Your Answer
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
"Am I doing something wrong?"
As per Documentation - FANN Training > Parameters > fann_get_bit_fail_limit (emphasis added) :
The bit fail limit is used during training where the fann_stopfunc_enum is set to
FANN_STOPFUNC_BIT.
Example :
fann_set_train_stop_function(ann, FANN_STOPFUNC_BIT);
fann_set_bit_fail_limit(ann, 0.002);
fann_save(ann, "ann.net");
Just in case:
I am using
doublefann.h.
Link -ldoublefann instead of -lfann.
answered Nov 25 '18 at 15:17
user4157124user4157124
2,21451333
I figured as such by myself by messing around with it. I did use the bit stop function, but it didn't occur to me to use it as a training function, because unlike the other training functions, this one does not begin withfann_set_train_.
– daedsidog
Nov 25 '18 at 17:37
@daedsidog Training algorithm, -stop function and -error function are distinct parameters to the process;fann_set_train_error_functionhasFANN_ERRORFUNC_TANH"... not recommended for cascade training and incremental training.".
– user4157124
Nov 26 '18 at 1:23
add a comment |
"Am I doing something wrong?"
As per Documentation - FANN Training > Parameters > fann_get_bit_fail_limit (emphasis added) :
The bit fail limit is used during training where the fann_stopfunc_enum is set to
FANN_STOPFUNC_BIT.
Example :
fann_set_train_stop_function(ann, FANN_STOPFUNC_BIT);
fann_set_bit_fail_limit(ann, 0.002);
fann_save(ann, "ann.net");
Just in case:
I am using
doublefann.h.
Link -ldoublefann instead of -lfann.
answered Nov 25 '18 at 15:17
user4157124user4157124
2,21451333
I figured as such by myself by messing around with it. I did use the bit stop function, but it didn't occur to me to use it as a training function, because unlike the other training functions, this one does not begin withfann_set_train_.
– daedsidog
Nov 25 '18 at 17:37
@daedsidog Training algorithm, -stop function and -error function are distinct parameters to the process;fann_set_train_error_functionhasFANN_ERRORFUNC_TANH"... not recommended for cascade training and incremental training.".
– user4157124
Nov 26 '18 at 1:23
add a comment |
"Am I doing something wrong?"
As per Documentation - FANN Training > Parameters > fann_get_bit_fail_limit (emphasis added) :
The bit fail limit is used during training where the fann_stopfunc_enum is set to
FANN_STOPFUNC_BIT.
Example :
fann_set_train_stop_function(ann, FANN_STOPFUNC_BIT);
fann_set_bit_fail_limit(ann, 0.002);
fann_save(ann, "ann.net");
Just in case:
I am using
doublefann.h.
Link -ldoublefann instead of -lfann.
answered Nov 25 '18 at 15:17
user4157124user4157124
2,21451333
"Am I doing something wrong?"
As per Documentation - FANN Training > Parameters > fann_get_bit_fail_limit (emphasis added) :
The bit fail limit is used during training where the fann_stopfunc_enum is set to
FANN_STOPFUNC_BIT.
Example :
fann_set_train_stop_function(ann, FANN_STOPFUNC_BIT);
fann_set_bit_fail_limit(ann, 0.002);
fann_save(ann, "ann.net");
Just in case:
I am using
doublefann.h.
Link -ldoublefann instead of -lfann.
answered Nov 25 '18 at 15:17
user4157124user4157124
2,21451333
answered Nov 25 '18 at 15:17
user4157124user4157124
2,21451333
answered Nov 25 '18 at 15:17
user4157124user4157124
2,21451333
answered Nov 25 '18 at 15:17
user4157124user4157124
2,21451333
2,21451333
I figured as such by myself by messing around with it. I did use the bit stop function, but it didn't occur to me to use it as a training function, because unlike the other training functions, this one does not begin withfann_set_train_.
– daedsidog
Nov 25 '18 at 17:37
@daedsidog Training algorithm, -stop function and -error function are distinct parameters to the process;fann_set_train_error_functionhasFANN_ERRORFUNC_TANH"... not recommended for cascade training and incremental training.".
– user4157124
Nov 26 '18 at 1:23
add a comment |
I figured as such by myself by messing around with it. I did use the bit stop function, but it didn't occur to me to use it as a training function, because unlike the other training functions, this one does not begin withfann_set_train_.
– daedsidog
Nov 25 '18 at 17:37
@daedsidog Training algorithm, -stop function and -error function are distinct parameters to the process;fann_set_train_error_functionhasFANN_ERRORFUNC_TANH"... not recommended for cascade training and incremental training.".
– user4157124
Nov 26 '18 at 1:23
I figured as such by myself by messing around with it. I did use the bit stop function, but it didn't occur to me to use it as a training function, because unlike the other training functions, this one does not begin with
fann_set_train_.– daedsidog
Nov 25 '18 at 17:37
I figured as such by myself by messing around with it. I did use the bit stop function, but it didn't occur to me to use it as a training function, because unlike the other training functions, this one does not begin with
fann_set_train_.– daedsidog
Nov 25 '18 at 17:37
@daedsidog Training algorithm, -stop function and -error function are distinct parameters to the process;
fann_set_train_error_function has FANN_ERRORFUNC_TANH "... not recommended for cascade training and incremental training.".– user4157124
Nov 26 '18 at 1:23
@daedsidog Training algorithm, -stop function and -error function are distinct parameters to the process;
fann_set_train_error_function has FANN_ERRORFUNC_TANH "... not recommended for cascade training and incremental training.".– user4157124
Nov 26 '18 at 1:23
add a comment |
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