Only in .: CHANGES
diff ./Makefile.bak /projects/cslu/speech/work/src.beta/bin/nopt/nopt//Makefile.bak
93,94c93,94
< ${OBJ_DIR}/nopt.o: nopt.h  nopt.c
< ${OBJ_DIR}/nopt.o: nopt.c /projects/cslu/speech/work/src/include/speech.h 
---
> ${OBJ_DIR}/nopt.o: nopt.h nopt.c /projects/cslu/speech/work/src/include/speech.h  nopt.c
> ${OBJ_DIR}/nopt.o: version.h 
98c98
< ${OBJ_DIR}/cgrd.o: cgrd.c nopt.h  cgrd.c
---
> ${OBJ_DIR}/cgrd.o: nopt.h cgrd.c  cgrd.c
101d100
< 
diff ./nopt.c /projects/cslu/speech/work/src.beta/bin/nopt/nopt//nopt.c
1c1
< static char *rcsident = "$Header: /projects/cslu/speech/work/src/bin/nopt/nopt/RCS/nopt.c,v 1.43 1993/06/10 17:17:58 johans Exp johans $";
---
> static char *rcsident = "$Header: /projects/cslu/speech/work/src/bin/nopt/nopt/RCS/nopt.c,v 1.43 1993/06/10 17:17:58 johans Exp $";
69d68
< static int hiddennodes=0, seed=0;
75,87c74,86
<   fprintf( stderr, "NOPT - Conjugate-gradient Neural-Net classifier\n\n");
<   fprintf( stderr, "usage: nopt [-i count] [-c iter] [-v] [-h target_hi]" );
<   fprintf( stderr, " [-l target_low] [-n hidden] [-r seed] configfile" );
<   fprintf( stderr, " vectorfile weightbase\n");
<   fprintf( stderr, "\ndescription:\n\n");
<   fprintf( stderr, "configfile : the network description for nopt\n");
<   fprintf( stderr, "vectorfile : the input vectors for training with nopt\n");
<   fprintf( stderr, "weightfile : the binary weight file used by nopt\n\n");
<   fprintf( stderr, "count : interval count at which nopt should dump weight file\n");
<   fprintf( stderr, "target_hi : target hi value, defaults to 0.7\n" );
<   fprintf( stderr, "target_low : target low value, defaults to 0.3\n" );
<   fprintf( stderr, "-c : continue from a previous training session\n");
<   fprintf( stderr, "-v : run in verbose mode\n" );
---
> 	fprintf( stderr, "NOPT - Conjugate-gradient Neural-Net classifier\n\n");
> 	fprintf( stderr, "usage: nopt [-i count] [-c iter] [-v] [-h target_hi]" );
> 	fprintf( stderr, " [-l target_low] configfile" );
> 	fprintf( stderr, " vectorfile weightbase\n");
> 	fprintf( stderr, "\ndescription:\n\n");
> 	fprintf( stderr, "configfile : the network description for nopt\n");
> 	fprintf( stderr, "vectorfile : the input vectors for training with nopt\n");
> 	fprintf( stderr, "weightfile : the binary weight file used by nopt\n\n");
> 	fprintf( stderr, "count : interval count at which nopt should dump weight file\n");
> 	fprintf( stderr, "target_hi : target hi value, defaults to 0.7\n" );
> 	fprintf( stderr, "target_low : target low value, defaults to 0.3\n" );
> 	fprintf( stderr, "-c : continue from a previous training session\n");
> 	fprintf( stderr, "-v : run in verbose mode\n" );
310c309
< 	while( (c = getopt(argc, argv, "n:r:i:l:h:c:vt")) != EOF ) {
---
> 	while( (c = getopt(argc, argv, "i:l:h:c:vt")) != EOF ) {
334,340d332
<                         case 'n':
< 				hiddennodes = atoi(optarg);
< 				break;
<                         case 'r':
< 				seed = atoi(optarg);
< 				break;
< 				
400,402c392
< 	   if (seed!=0)
< 	     rnd = seed;
< 	   InitRandomWeights( rnd );
---
> 		InitRandomWeights( rnd );
480,482c470
< 	  fscanf( fp, " %d", &SizeOfLayers[i] );
< 	  if ((i==1) && (hiddennodes != 0))
< 	    SizeOfLayers[i] = hiddennodes;
---
> 		fscanf( fp, " %d", &SizeOfLayers[i] );
Only in .: test
