You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: binaryTreeApply.m
    path of file: ./repos/toolbox/classify
    
    the code of the file until where you have to start completion: function hs = binaryTreeApply( X, tree, maxDepth, minWeight, nThreads )
% Apply learned binary decision tree classifier.
%
% USAGE
%  hs = binaryTreeApply( X, tree, [maxDepth], [minWeight], [nThreads] )
%
% INPUTS
%  X          - [NxF] N length F feature vectors

    
function hs = binaryTreeApply( X, tree, maxDepth, minWeight, nThreads )
% Apply learned binary decision tree classifier.
%
% USAGE
%  hs = binaryTreeApply( X, tree, [maxDepth], [minWeight], [nThreads] )
%
% INPUTS
%  X          - [NxF] N length F feature vectors
%  tree       - learned tree classification model
%  maxDepth   - [] maximum depth of tree
%  minWeight  - [] minimum sample weigth to allow split
%  nThreads   - [16] max number of computational threads to use
%
% OUTPUTS
%  hs         - [Nx1] predicted output log ratios
%
% EXAMPLE
%
% See also binaryTreeTrain
%
% Piotr's Computer Vision Matlab Toolbox      Version 3.40
% Copyright 2014 Piotr Dollar.  [pdollar-at-gmail.com]
% Licensed under the Simplified BSD License [see external/bsd.txt]

if(nargin<3 || isempty(maxDepth)), maxDepth=0; end