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Diffstat (limited to 'sourcecodes/parameter_learning/code_backup/readInput.m')
| -rw-r--r-- | sourcecodes/parameter_learning/code_backup/readInput.m | 63 |
1 files changed, 0 insertions, 63 deletions
diff --git a/sourcecodes/parameter_learning/code_backup/readInput.m b/sourcecodes/parameter_learning/code_backup/readInput.m deleted file mode 100644 index 891d7f36..00000000 --- a/sourcecodes/parameter_learning/code_backup/readInput.m +++ /dev/null @@ -1,63 +0,0 @@ -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); - -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 |
