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-rw-r--r--sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_pot_orig.m62
-rw-r--r--sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_pot_orig.m~62
-rw-r--r--sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_table_orig.m15
-rw-r--r--sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_table_orig.m~15
4 files changed, 154 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_pot_orig.m b/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_pot_orig.m
new file mode 100644
index 00000000..dadcb033
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_pot_orig.m
@@ -0,0 +1,62 @@
+function pot = convert_to_pot_orig(CPD, pot_type, domain, evidence, n, ns_current)
+% CONVERT_TO_POT Convert discrete CPD with original distribution to a potential
+% pot = convert_to_pot_orig(CPD, pot_type, domain, evidence, n, ns_current)
+%
+% pots = CPD evaluated using evidence(domain)
+
+ncases = size(domain,2);
+assert(ncases==1); % not yet vectorized
+
+sz = dom_sizes(CPD);
+ns = zeros(1, max(domain));
+ns(domain) = sz;
+
+CPT1 = CPD_to_CPT(CPD);
+spar = issparse(CPT1);
+odom = domain(~isemptycell(evidence(domain)));
+if spar
+   T = convert_to_sparse_table(CPD, domain, evidence);
+else 
+   T = convert_to_table(CPD, domain, evidence);
+end
+
+switch pot_type
+ case 'u',
+  pot = upot(domain, sz, T, 0*myones(sz));  
+ case 'd',
+  CPT_orig = CPD_to_CPT_orig(CPD);
+  pot = dpot(n, ns_current, CPT_orig);          
+ case {'c','g'},
+  % Since we want the output to be a Gaussian, the whole family must be observed.
+  % In other words, the potential is really just a constant.
+  p = T;
+  %p = prob_node(CPD, evidence(domain(end)), evidence(domain(1:end-1)));
+  ns(domain) = 0;
+  pot = cpot(domain, ns(domain), log(p));       
+
+ case 'cg',
+  T = T(:);
+  ns(odom) = 1;
+  can = cell(1, length(T));
+  for i=1:length(T)
+    if T(i) == 0 
+      can{i} = cpot([], [], -Inf); % bug fix by Bob Welch 20/2/04
+    else
+      can{i} = cpot([], [], log(T(i)));
+    end;
+  end
+  pot = cgpot(domain, [], ns, can); 
+  
+ case 'scg'
+  T = T(:);
+  ns(odom) = 1;
+  pot_array = cell(1, length(T));
+  for i=1:length(T)
+    pot_array{i} = scgcpot([], [], T(i));
+  end
+  pot = scgpot(domain, [], [], ns, pot_array);   
+
+ otherwise,
+  error(['unrecognized pot type ' pot_type])
+end
+
diff --git a/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_pot_orig.m~ b/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_pot_orig.m~
new file mode 100644
index 00000000..ecc57d49
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_pot_orig.m~
@@ -0,0 +1,62 @@
+function pot = convert_to_pot(CPD, pot_type, domain, evidence)
+% CONVERT_TO_POT Convert a discrete CPD to a potential
+% pot = convert_to_pot(CPD, pot_type, domain, evidence)
+%
+% pots = CPD evaluated using evidence(domain)
+
+ncases = size(domain,2);
+assert(ncases==1); % not yet vectorized
+
+sz = dom_sizes(CPD);
+ns = zeros(1, max(domain));
+ns(domain) = sz;
+
+CPT1 = CPD_to_CPT(CPD);
+spar = issparse(CPT1);
+odom = domain(~isemptycell(evidence(domain)));
+if spar
+   T = convert_to_sparse_table(CPD, domain, evidence);
+else 
+   T = convert_to_table(CPD, domain, evidence);
+end
+
+switch pot_type
+ case 'u',
+  pot = upot(domain, sz, T, 0*myones(sz));  
+ case 'd',
+  ns(odom) = 1;
+  pot = dpot(domain, ns(domain), T);          
+ case {'c','g'},
+  % Since we want the output to be a Gaussian, the whole family must be observed.
+  % In other words, the potential is really just a constant.
+  p = T;
+  %p = prob_node(CPD, evidence(domain(end)), evidence(domain(1:end-1)));
+  ns(domain) = 0;
+  pot = cpot(domain, ns(domain), log(p));       
+
+ case 'cg',
+  T = T(:);
+  ns(odom) = 1;
+  can = cell(1, length(T));
+  for i=1:length(T)
+    if T(i) == 0 
+      can{i} = cpot([], [], -Inf); % bug fix by Bob Welch 20/2/04
+    else
+      can{i} = cpot([], [], log(T(i)));
+    end;
+  end
+  pot = cgpot(domain, [], ns, can); 
+  
+ case 'scg'
+  T = T(:);
+  ns(odom) = 1;
+  pot_array = cell(1, length(T));
+  for i=1:length(T)
+    pot_array{i} = scgcpot([], [], T(i));
+  end
+  pot = scgpot(domain, [], [], ns, pot_array);   
+
+ otherwise,
+  error(['unrecognized pot type ' pot_type])
+end
+
diff --git a/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_table_orig.m b/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_table_orig.m
new file mode 100644
index 00000000..92aacc0d
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_table_orig.m
@@ -0,0 +1,15 @@
+function T = convert_to_table(CPD, domain, evidence)
+% CONVERT_TO_TABLE Convert a discrete CPD to a table with original distribution
+% T = convert_to_table(CPD, domain, evidence)
+%
+% We convert the CPD to a CPT, and then lookup the evidence on the discrete parents.
+% The resulting table can easily be converted to a potential.
+
+domain = domain(:);
+CPT = CPD_to_CPT_orig(CPD);
+odom = domain(~isemptycell(evidence(domain)));
+vals = cat(1, evidence{odom});
+map = find_equiv_posns(odom, domain);
+index = mk_multi_index(length(domain), map, vals);
+T = CPT(index{:});
+T = T(:);
diff --git a/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_table_orig.m~ b/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_table_orig.m~
new file mode 100644
index 00000000..dc5bcd40
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/CPDs/@discrete_CPD/convert_to_table_orig.m~
@@ -0,0 +1,15 @@
+function T = convert_to_table(CPD, domain, evidence)
+% CONVERT_TO_TABLE Convert a discrete CPD to a table
+% T = convert_to_table(CPD, domain, evidence)
+%
+% We convert the CPD to a CPT, and then lookup the evidence on the discrete parents.
+% The resulting table can easily be converted to a potential.
+
+domain = domain(:);
+CPT = CPD_to_CPT(CPD);
+odom = domain(~isemptycell(evidence(domain)));
+vals = cat(1, evidence{odom});
+map = find_equiv_posns(odom, domain);
+index = mk_multi_index(length(domain), map, vals);
+T = CPT(index{:});
+T = T(:);