gusucode.com > 支持向量机工具箱 - LIBSVM OSU_SVM LS_SVM源码程序 > 支持向量机工具箱 - LIBSVM OSU_SVM LS_SVM\libsvm\libsvmsim.m
% LIBSVMSIM Simulate Support Vector Machine. % % Syntax: % y = libsvmsim(svm,x); % [y,p] = libsvmsim(svm,x); % % Input Arguments: % svm - Support vector machine (struct, described in LIBSVMOPT). % x - Input data (size M*n). In general, x may be a multidimensional array % with the last dimension of size n. % % Output Arguments: % y - Simulated output (size M*1). In general, y will be a multidimensional % array with scalar last dimension. For classification, y>0 predicts the % first class label of svm.label, y<0 the second. % p - Predicted probabilities for classification (size M*1). In general, % p will be a multidimensional array with scalar last dimension. The % SVM must contain probability information. p contains the probability % values for the predicted class (in the above sense). The probability % for the other (not predicted) class is 1-p. % ------------------------------------------------------------------------------ % MATLAB Interface for LIBSVM, Version 1.2 % % Copyright (C) 2004-2005 Michael Vogt % Written by Michael Vogt, Atanas Ayarov and Bennet Gedan % % This program is free software; you can redistribute it and/or modify it % under the terms of the GNU General Public License as published by the Free % Software Foundation; either version 2 of the License, or (at your option) % any later version. % ------------------------------------------------------------------------------