how to apply fitcdiscr classifier

function p = classify(l, x)

% -------------------------------------------------------------------------

% classify is used to classify feature vectors

%

% INPUT

% l: An initialized LogitBoost object

% x: Matrix of feature vectors, columns are feature vectors, number of

% columns equals number of feature vectors. See xx for format of

% feature vectors.

%

% OUTPUT

% p: Matrix containing probabilities p(y=1|x), values at column j

% correspond to feature vector at column j in x. Values at row i

% correspond to result after evaluating i weak classifiers

% (timepoints)

for i = 1:size(x,2)

f = 0;

for j = 1:length(l.indices)

k = l.indices(j);

x_1 = x((k-1)*l.n_channels + 1:k*l.n_channels,i);

x_1 = [x_1; 1];

resp = l.regressors((j-1)*(l.n_channels+1)+1: ...

j*(l.n_channels+1))*x_1;

f = f + l.stepsize*resp;

p(j,i) = exp(f) / (exp(f) + exp(-f));

end

end