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| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
|---|---|---|
| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old | |
| parent | 7cc31810d53176e805532b2789955f4eedbce6bb (diff) | |
| download | BNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz | |
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
Diffstat (limited to 'sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old')
4 files changed, 43 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/CVS/Entries b/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/CVS/Entries new file mode 100644 index 00000000..f11d0269 --- /dev/null +++ b/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/CVS/Entries @@ -0,0 +1,2 @@ +/tabular_decision_node.m/1.1.1.1/Wed May 29 15:59:54 2002// +D diff --git a/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/CVS/Repository b/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/CVS/Repository new file mode 100644 index 00000000..c14a3f7d --- /dev/null +++ b/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/CVS/Repository @@ -0,0 +1 @@ +FullBNT/BNT/CPDs/@tabular_decision_node/Old diff --git a/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/CVS/Root b/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/CVS/Root new file mode 100644 index 00000000..f3bd14a6 --- /dev/null +++ b/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/CVS/Root @@ -0,0 +1 @@ +:ext:nsaunier@bnt.cvs.sourceforge.net:/cvsroot/bnt diff --git a/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/tabular_decision_node.m b/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/tabular_decision_node.m new file mode 100644 index 00000000..7c4c26d5 --- /dev/null +++ b/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/Old/tabular_decision_node.m @@ -0,0 +1,39 @@ +function CPD = tabular_decision_node(sz, CPT) +% TABULAR_DECISION_NODE Represent the randomized policy over a discrete decision/action node as a table +% CPD = tabular_decision_node(sz, CPT) +% +% sz(1:end-1) is the sizes of the parents, sz(end) is the size of this node +% By default, CPT is set to the uniform random policy + +if nargin==0 + % This occurs if we are trying to load an object from a file. + CPD = init_fields; + CPD = class(CPD, 'tabular_decision_node'); + return; +elseif isa(sz, 'tabular_decision_node') + % This might occur if we are copying an object. + CPD = sz; + return; +end +CPD = init_fields; + +if nargin < 2 + CPT = mk_stochastic(myones(sz)); +else + CPT = myreshape(CPT, sz); +end + +CPD.CPT = CPT; +CPD.size = sz; + +CPD = class(CPD, 'tabular_decision_node'); + +%%%%%%%%%%% + +function CPD = init_fields() +% This ensures we define the fields in the same order +% no matter whether we load an object from a file, +% or create it from scratch. (Matlab requires this.) + +CPD.CPT = []; +CPD.size = []; |