📄 main.cpp
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/*************************************************************************** * Copyright (C) 2008 by Cyril Poulet * * cyril.poulet@centraliens.net * * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * Redistribution under a license not approved by the Open Source * Initiative (http://www.opensource.org) must display the * following acknowledgement in all advertising material: * This product includes software developed at the Courant * Institute of Mathematical Sciences (http://cims.nyu.edu). * * The names of the authors may not be used to endorse or promote products * derived from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED ``AS IS'' AND ANY EXPRESS OR IMPLIED * WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL ThE AUTHORS BE LIABLE FOR ANY * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ***************************************************************************/#include "preprocess.h"#include "spex.h"//! this global variable is the number of data samples that will be loaded in//! the training database.intg trainsize = 10000;//! the first argument is the path to the data ( ../eblearn/demos/sp_Doc_classifier/data//! if you follow the instructions in the Readme), the second argument is optional ://! write "true" if you need to preprocess the data (the first time you use//! the application)int main(int argc, const char **argv){ string path; bool preproc = false; for (int i=1; i<argc; i++) { const char *arg = argv[i]; if(i == 1) path = arg; if(i == 2){ if(arg == "true") preproc = true; } } if(preproc) preprocess(path); string trainfile = path + "/test.dat.gz"; sptrainer mytrainer(trainfile); mytrainer.train(1); return 0;}
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