BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02

1 files changed, 92 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/BNT/potentials/Tables/rep_mult.c b/sourcecodes/bnt-master/BNT/potentials/Tables/rep_mult.c
new file mode 100644
index 00000000..c7b687a6
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/potentials/Tables/rep_mult.c
@@ -0,0 +1,92 @@
+/* rep_mult.c  repmat first two operands to the size provided by */
+/* the third operand, then perform point multiply                */
+/* 3 input, 1 output                                             */
+/* C = rep_mult(A, B, sizes)                                     */
+
+#include "mex.h"
+
+void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
+{
+	double		*xp, *yp, *zp, *pSizes;
+	int			xnd, ynd, numElements = 1;
+	const int	*xdim, *ydim;
+	int         i, j, ndim;
+	int			*s, *sx, *sy, *cpsx, *cpsy;
+	int			*subs, *s1, *cpsx2, *cpsy2;
+
+	if (nrhs != 3)
+		mexErrMsgTxt("Incorrect number of inputs.");
+	
+	if (nlhs > 1)
+		mexErrMsgTxt("Too many output arguments.");
+	
+	xnd = mxGetNumberOfDimensions(prhs[0]);
+	ynd = mxGetNumberOfDimensions(prhs[1]);
+	xdim = mxGetDimensions(prhs[0]);
+	ydim = mxGetDimensions(prhs[1]);
+	ndim = mxGetNumberOfElements(prhs[2]);
+
+	pSizes = mxGetPr(prhs[2]);
+
+	sx = (int *)malloc(sizeof(int)*ndim);
+	sy = (int *)malloc(sizeof(int)*ndim);
+	s =  (int *)malloc(sizeof(int)*ndim);
+	s1 = (int *)malloc(sizeof(int)*ndim);
+	*(cpsx = (int *)malloc(sizeof(int)*ndim)) = 1;
+	*(cpsy = (int *)malloc(sizeof(int)*ndim)) = 1;
+	subs =   (int *)malloc(sizeof(int)*ndim);
+	cpsx2 =  (int *)malloc(sizeof(int)*ndim);
+	cpsy2 =  (int *)malloc(sizeof(int)*ndim);
+	for(i=0; i<ndim; i++){
+		subs[i] = 0;
+		sx[i] = (i < xnd) ? xdim[i] : 1;
+		sy[i] = (i < ynd) ? ydim[i] : 1;
+		s[i] = (int)pSizes[i];
+		s1[i] = s[i] - 1;
+		numElements *= s[i];
+	}
+				
+	for(i=0; i<ndim-1; i++){
+		cpsx[i+1] = cpsx[i]*sx[i]--;
+		cpsy[i+1] = cpsy[i]*sy[i]--;
+		cpsx2[i] = cpsx[i]*sx[i];
+		cpsy2[i] = cpsy[i]*sy[i];
+	}
+	cpsx2[ndim-1] = cpsx[ndim-1]*(--sx[ndim-1]);
+	cpsy2[ndim-1] = cpsy[ndim-1]*(--sy[ndim-1]);
+	
+	plhs[0] = mxCreateNumericArray(ndim, s, mxDOUBLE_CLASS, mxREAL);
+	zp = mxGetPr(plhs[0]);
+	xp = mxGetPr(prhs[0]);
+	yp = mxGetPr(prhs[1]);
+
+	for(j=0; j<numElements; j++){
+		*zp++ = *xp * *yp;
+		for(i=0; i<ndim; i++){
+			if(subs[i] == s1[i]){
+				subs[i] = 0;
+				if(sx[i])
+					xp -= cpsx2[i];
+				if(sy[i])
+					yp -= cpsy2[i];
+			}
+			else{
+				subs[i]++;
+				if(sx[i])
+					xp += cpsx[i];
+				if(sy[i])
+					yp += cpsy[i];
+				break;
+			}
+		}
+	}
+	free(sx);
+	free(sy);
+	free(s);
+	free(s1);
+	free(cpsx);
+	free(cpsy);
+	free(subs);
+	free(cpsx2);
+	free(cpsy2);
+}