1 files changed, 0 insertions, 79 deletions
diff --git a/BNW_parameter_learning/readInputData.m b/BNW_parameter_learning/readInputData.m
deleted file mode 100644
index d92ec015..00000000
--- a/BNW_parameter_learning/readInputData.m
+++ /dev/null
@@ -1,79 +0,0 @@
-function  [ labels , node_sizes, cases, data] = readInputData( dfile , nnodes )
-	%  readColData  reads data from a file containing data in columns
-	%               that have text titles, and possibly other header text
-	%   
-	%  Input:
-	%     dfile  = name of the file containing the data.(required)
-	%     nnodes  = number of columns in the data file.  (required)
-    %
-    %   Function assumes the following format for the input file:
-    %       1) First line has labels for each of the nodes.  There cannot
-    %              be spaces in any node label.
-    %       2) The next line is the "node_sizes" of the nodes.  If the 
-    %           nodes are discrete, this number will be equal to the number
-    %           of states.  If the nodes are continuous, they should be 
-    %           equal to 1.  The function assumes that any nodes with
-    %           node_size = 1 is continuous.
-    %       3) The rest of the file is numeric data.  The data in the input
-    %               data has the number of columns equal to the number of 
-    %               nodes in the network and the number of rows equal to
-    %               the number of samples.
-    %
-    %
-	%  Output:
-	%     labels = cell array with node (column) labels.
-    %     node_sizes  =  vector with the size of each node
-    %     cases = cell array with the data.  The cases array is transposed
-    %       in comparison with the input data to agree with the format of
-    %       cell data used in BNT.
-    %
-    % readInputData is called by readInput.m
-
-
-
-%  open file for input, include error handling
-fin = fopen(dfile,'r');
-if fin < 0
-   error(['Could not open ',dfile,' for input']);
-end
-
-% Read in first line to get the node labels.
-labels = cell(1,nnodes);
-buffer = fgetl(fin);    %get header line as a string
-for j=1:nnodes
-    [next,buffer] = strtok(buffer);
-    labels{j} = next;
-end
-
-%  Read in the data.  Use the vetorized fscanf function to load all
-%  numerical values into one vector.  Then reshape this vector into a
-%  matrix.
-
-data = fscanf(fin,'%f');  %  Load the numerical values into one long vector
-
-
-
-
-nd = length(data);        %  total number of data points
-nr = nd/nnodes;            %  number of rows; check (next statement) to make sure
-if nr ~= round(nd/nnodes)
-   fprintf(1,'\ndata: nrow = %f\tncol = %d\n',nr,nnodes);
-   fprintf(1,'number of data points = %d does not equal nrow*ncol\n',nd);
-   error('data is not rectangular')
-end
-
-data = reshape(data,nnodes,nr)';   %  have to transpose the reshaped array
-
-
-node_sizes = zeros(1,nnodes);
-for j = 1:nnodes
-    node_sizes(j) = data(1,j);
-end
-
-nr = nr - 1;
-data(1,:) = [];
-cases = cell(nnodes,nr);
-cases(:,:) = num2cell(data');
-
-end
-%  end of readInputData.m
\ No newline at end of file