weaklearnermanager.cpp

WeakLearner,弱分类器

//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:
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//      * Redistributions of source code must retain the above copyright
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//================================================================LAB_LicenseEnd
#include "WeakLearnerManager.h"
using namespace learners;

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

#include <cstdlib>
using namespace std;

WeakLearnerManager &
WeakLearnerManager::instance()
{
  static WeakLearnerManager* factory = NULL;
  if (factory == NULL) {
    factory = new WeakLearnerManager();
  }
  return *factory;
}

Module *
WeakLearnerManager::Create(const modules::options::ModuleOptions &options)
{
	Module *result = NULL;

	// Cast Options to AnnotationOptions
	const WeakLearnerOptions &opt = static_cast<const WeakLearnerOptions &>(options);

	// Get Options

	// Create instance
	result = ::ModuleManager::Create( opt.GetName() );

	// SetOptions

	result->SetOptions( opt );

	return result;
}

WeakLearnerManager::WeakLearnerManager()
{
}

WeakLearnerManager::~WeakLearnerManager()
{
}