📄 bayesclassifier.h
字号:
// Copyright (C) 2003 Samy Bengio (bengio@idiap.ch)
// and Bison Ravi (francois.belisle@idiap.ch)
//
// This file is part of Torch 3.
//
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// 2. 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.
// 3. The name of the author may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``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 AUTHOR 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.
#ifndef BAYES_CLASSIFIER_INC
#define BAYES_CLASSIFIER_INC
#include "Trainer.h"
#include "BayesClassifierMachine.h"
namespace Torch {
/** A multi class bayes classifier -- maximizes the likelihood of each class
separately using a trainer for distribution. When testing, the predicted
class corresponds to the trainer giving the maximum output, weighted by
its prior probability.
@author Samy Bengio (bengio@idiap.ch)
@author Bison Ravi (francois.belisle@idiap.ch)
*/
class BayesClassifier : public Trainer
{
public:
/// the bayes machine
BayesClassifierMachine* bayesmachine;
/// the number of different classes
int n_classes;
/// all the example indices of each class.
int** classes;
///the number of examples per class.
int* classes_n;
/// you need to define a BayesClassifierMachine to use this class
BayesClassifier( BayesClassifierMachine* );
virtual ~BayesClassifier();
virtual void train( DataSet *data, MeasurerList *measurers);
};
}
#endif
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -