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authorziejd22017-09-14 16:17:47 -0500
committerGitHub2017-09-14 16:17:47 -0500
commit7cc31810d53176e805532b2789955f4eedbce6bb (patch)
tree82924642070d871f753ee41c0f3e363ff8f380da /BNW_parameter_learning/readInput.m
parent6882395afdadf4e982b25b5215071a0932730950 (diff)
downloadBNW-7cc31810d53176e805532b2789955f4eedbce6bb.tar.gz
Add files via upload
Adding the *.m files used in parameter learning.
Diffstat (limited to 'BNW_parameter_learning/readInput.m')
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diff --git a/BNW_parameter_learning/readInput.m b/BNW_parameter_learning/readInput.m
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+function [ labels, cases, bnet, node_sizes, data,labelsold] = readInput( dfile, sfile, nnodes, std_flag )

+    %readInput is to be used when reading in a network with a known structure

+    %   

+    %Input:

+	%   dfile  = name of the file containing the data (required)

+    %   sfile = name of the file containing the structure (required)

+    %   nnodes = number of nodes in the network (required)

+    %   std_flag = flag for whether or not to standardize the data.

+    %   (optional-- Default is FALSE)

+    %

+    %   See readInputData.m and readInputStructure.m for description of the

+    %       format of the dfile and sfile, respectively. 

+    %

+    %Output:

+    %   labels = cell array with the names of the nodes.

+    %   cases = cell array with the data.

+    %   bnet = BNT bayesian network with the input structure.

+

+if nargin < 4

+    std_flag = false(1);

+end

+

+    

+% read in the file with the data

+[labelsold,node_sizes,cases, data] = readInputData(dfile,nnodes);

+

+

+

+

+% read in the file with the structure

+[dag] = readInputStructure(sfile,labelsold);

+

+

+% check the ordering of the nodes and reorder if necessary

+[labels,cases,dag,node_sizes,ord_flag] = checkStructure(labelsold,cases,dag,node_sizes);

+%draw_graph(dag,labels);

+%if ord_flag == 1

+%    fprintf(['Order of nodes was changed to agree with topological order\n'])

+%end

+%fprintf(['The structure of the network should be correctly displayed in a figure\n'])

+

+dcount = 0;

+for i = 1:nnodes

+    if node_sizes(i) ~= 1

+        dcount = dcount + 1;

+    end

+end

+discrete = zeros(1,dcount);

+dcount = 0;

+for i = 1:nnodes

+    if node_sizes(i) ~= 1

+        dcount = dcount + 1;

+        discrete(dcount) = i;

+    end

+end

+

+bnet = mk_bnet(dag,node_sizes,'discrete',discrete,'names',labels);

+

+%bnet.dag

+

+checkDiscreteNodes(bnet,cases);

+

+% standardize continuous data to have a mean = 0 and std = 1

+if (std_flag)

+    [cases] = standardizeData(labels,node_sizes,cases);

+end

+        

+

+end

+%  end of readInput.m
\ No newline at end of file