learnermanager.h

来自「WeakLearner,弱分类器」· C头文件 代码 · 共 65 行

//LAB_LicenseBegin==============================================================
//  Copyright (c) 2005-2006, Hicham GHORAYEB < [e-mail] >
//  All rights reserved.
//
//	This software is a Library for Adaptive Boosting. It provides a generic 
//	framework for the study of the Boosting algorithms. The framework provides 
//	the different tasks for boosting: Learning, Validation, Test, Profiling and 
//	Performance Analysis Tasks.
//
//	This Library was developped during my PhD studies at:
//	Ecole des Mines de Paris - Centre de Robotique( CAOR )
//	http://caor.ensmp.fr
//	under the supervision of Pr. Claude Laurgeau and Bruno Steux
//
//  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.
//      * Neither the name of the Ecole des Mines de Paris nor the names of
//        its contributors may be used to endorse or promote products
//        derived from this software without specific prior written permission.
//
//  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
//  AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, 
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//================================================================LAB_LicenseEnd
#ifndef _LIBADABOOST_LEARNER_MANAGER_H_
#define _LIBADABOOST_LEARNER_MANAGER_H_

#include "libAdaBoost/modules/ModuleManager.h"
using namespace modules;

namespace learners
{
	class LearnerManager
		:public ModuleManager
	{
	public:
		static LearnerManager &instance();

	public:
		Module *Create(const modules::options::ModuleOptions &options);

	private:
		LearnerManager();
		~LearnerManager();
	};
}

#endif