Code covered by the BSD License  

Highlights from
Statistical Learning Toolbox

from Statistical Learning Toolbox by Dahua Lin
Functions for statistical learning, pattern recognition and computer vision, covering many topics.

slevalfunctor(functor, varargin)
function varargout = slevalfunctor(functor, varargin)
%SLEVALFUNCTOR Evaluates a functor
%
% $ Syntax $
%   - [O1, O2, ...] = slevalfunctor(functor, I1, I2, ...)
%
% $ Description $
%   - [O1, O2, ...] = slevalfunctor(functor, I1, I2, ...) evaluates 
%     the functor. Here, a functor refers to a function that can be
%     invokable with parameters. A functor is typically used in a 
%     framework function that need to invoke other functions with
%     both the variables generated inside the framework and the
%     variables offered from external environment. 
%     If there is no external parameters, the functor can be
%     given in the form of a function name, function handle or
%     inline object; if there are external parameters the functor
%     can be given in form of a cell array with the first cell being
%     the callable function while the other cells containing the
%     external parameters.
%
% $ Remarks $
%   - For an empty functor, it simply does nothing and returns.
%
% $ History $
%   - Created by Dahua Lin, on Aug 30, 2006
%

if isempty(functor)
    return;
end

if iscell(functor)
    func = functor{1};
    if length(functor) > 1
        params = functor(2:end);
    else
        params = {};
    end
else
    func = functor;
    params = {};
end

if isempty(func)
    return;
end

if nargout == 0
    feval(func, varargin{:}, params{:});
else
    varargout = cell(1, nargout);
    [varargout{:}] = feval(func, varargin{:}, params{:});
end
    
    

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