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, 67 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/KPMtools/junk.c b/sourcecodes/bnt-master/KPMtools/junk.c
new file mode 100644
index 00000000..13624021
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMtools/junk.c
@@ -0,0 +1,67 @@
+
+  m  = mxGetM(prhs[0]);
+  n  = mxGetN(prhs[0]);
+  pr = mxGetPr(prhs[0]);
+  pi = mxGetPi(prhs[0]);
+  cmplx = (pi == NULL ? 0 : 1);
+
+  /* Allocate space for sparse matrix. 
+   * NOTE:  Assume at most 20% of the data is sparse.  Use ceil
+   * to cause it to round up. 
+   */
+
+  percent_sparse = 0.2;
+  nzmax = (int)ceil((double)m*(double)n*percent_sparse);
+
+  plhs[0] = mxCreateSparse(m,n,nzmax,cmplx);
+  sr  = mxGetPr(plhs[0]);
+  si  = mxGetPi(plhs[0]);
+  irs = mxGetIr(plhs[0]);
+  jcs = mxGetJc(plhs[0]);
+    
+  /* Copy nonzeros. */
+  k = 0; 
+  isfull = 0;
+  for (j = 0; (j < n); j++) {
+    int i;
+    jcs[j] = k;
+    for (i = 0; (i < m); i++) {
+      if (IsNonZero(pr[i]) || (cmplx && IsNonZero(pi[i]))) {
+
+        /* Check to see if non-zero element will fit in 
+         * allocated output array.  If not, increase
+         * percent_sparse by 10%, recalculate nzmax, and augment
+         * the sparse array.
+         */
+        if (k >= nzmax) {
+          int oldnzmax = nzmax;
+          percent_sparse += 0.1;
+          nzmax = (int)ceil((double)m*(double)n*percent_sparse);
+
+          /* Make sure nzmax increases atleast by 1. */
+          if (oldnzmax == nzmax) 
+            nzmax++;
+
+          mxSetNzmax(plhs[0], nzmax); 
+          mxSetPr(plhs[0], mxRealloc(sr, nzmax*sizeof(double)));
+          if (si != NULL)
+          mxSetPi(plhs[0], mxRealloc(si, nzmax*sizeof(double)));
+          mxSetIr(plhs[0], mxRealloc(irs, nzmax*sizeof(int)));
+
+          sr  = mxGetPr(plhs[0]);
+          si  = mxGetPi(plhs[0]);
+          irs = mxGetIr(plhs[0]);
+        }
+        sr[k] = pr[i];
+        if (cmplx) {
+          si[k] = pi[i];
+        }
+        irs[k] = i;
+        k++;
+      }
+    }
+    pr += m;
+    pi += m;
+  }
+  jcs[n] = k;
+}