comparison toolboxes/FullBNT-1.0.7/KPMstats/fit_partitioned_model.m @ 0:e9a9cd732c1e tip

first hg version after svn

+function [model, partition_size] = fit_partitioned_model(...
+    inputs, outputs, selectors, sel_sizes, min_size, partition_names, fn_name, varargin)
+%function [models, partition_sizes] = fit_partitioned_model(...
+%    inputs, outputs, selectors, sel_sizes, min_size, partition_names, fn_name, varargin)
+%
+% Fit models to different subsets (columns)  of the input/output data, 
+% as chosen by the selectors matrix. If there is only output data, set input=[].
+% If there is less than min_size data in partition i, 
+% we set model{i} = []
+%
+% Example:
+% selectors = [1 2 1 1 1
+%              1 2 2 1 2]
+% sel_sizes = [2 2] so there are 4 models: (1,1), (2,1), (1,2), (2,2)
+% We fit model{1} to data from columns 1,4
+% We fit model{2} to no data
+% We fit model{3} to data from column 3,5
+% We fit model{4} to data from column 2 (assuming min_size <= 1)
+%
+% For each partition, we call the specified function with the specified arguments
+% as follows:
+%  model{i}  = fn(input(:,cols{i}), output(:,cols{i}), args)
+% (We omit input if [])
+% partition_size(i) is the amount of data in the i'th partition.
+%
+% Example use: row 1 of selectors is whether an object is present/absent
+% and row 2 is the location.
+%
+% Demo:
+% inputs = 1:5; outputs = 6:10; selectors = as above
+% fn = 'fit_partitioned_model_testfn';
+% [model, partition_size] = fit_partitioned_model(inputs, outputs, selectors, [2 2], fn)
+% should produce
+% model{1}.input = [1 4], model{1}.output = [6 9]
+% model{2} = []
+% model{3}.input = [3 5], model{3}.output = [8 10], 
+% model{4}.input = [2], model{3}.output = [7], 
+% partition_size = [2 0 2 1]
+
+
+sel_ndx = subv2ind(sel_sizes, selectors');
+Nmodels = prod(sel_sizes);
+model = cell(1, Nmodels);
+partition_size = zeros(1, Nmodels);
+for m=1:Nmodels
+  ndx = find(sel_ndx==m);
+  partition_size(m) = length(ndx);
+  if ~isempty(partition_names) % & (partition_size(m) < min_size)
+    fprintf('partition %s has size %d, min size = %d\n', ...
+	    partition_names{m}, partition_size(m), min_size);
+  end
+  if partition_size(m) >= min_size
+    if isempty(inputs)
+      model{m} = feval(fn_name, outputs(:, ndx), varargin{:});
+    else
+      model{m} = feval(fn_name, inputs(:,ndx), outputs(:, ndx), varargin{:});
+    end
+  end
+end