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function net = knn(nin, nout, k, tr_in, tr_targets)
%KNN Creates a K-nearest-neighbour classifier.
%
% Description
% NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET
% with input dimension NIN, output dimension NOUT and K neighbours.
% The training data is also stored in the data structure and the
% targets are assumed to be using a 1-of-N coding.
%
% The fields in NET are
% type = 'knn'
% nin = number of inputs
% nout = number of outputs
% tr_in = training input data
% tr_targets = training target data
%
% See also
% KMEANS, KNNFWD
%
% Copyright (c) Ian T Nabney (1996-2001)
net.type = 'knn';
net.nin = nin;
net.nout = nout;
net.k = k;
errstring = consist(net, 'knn', tr_in, tr_targets);
if ~isempty(errstring)
error(errstring);
end
net.tr_in = tr_in;
net.tr_targets = tr_targets;
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