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C++ Args::getValue方法代码示例

本文整理汇总了C++中nor_utils::Args::getValue方法的典型用法代码示例。如果您正苦于以下问题：C++ Args::getValue方法的具体用法？C++ Args::getValue怎么用？C++ Args::getValue使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类nor_utils::Args的用法示例。


在下文中一共展示了Args::getValue方法的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。

示例1: initLearningOptions

	void TreeLearner::initLearningOptions(const nor_utils::Args& args)
	{
		BaseLearner::initLearningOptions(args);
		
		string baseLearnerName;
		args.getValue("baselearnertype", 0, baseLearnerName);   
		args.getValue("baselearnertype", 1, _numBaseLearners);   
		
		// get the registered weak learner (type from name)
		BaseLearner* pWeakHypothesisSource = BaseLearner::RegisteredLearners().getLearner(baseLearnerName);
		
		//check whether the weak learner is a ScalarLeaerner
		try {
			_pScalaWeakHypothesisSource = dynamic_cast<ScalarLearner*>(pWeakHypothesisSource);
		}
		catch (bad_cast& e) {
			cerr << "The weak hypothesis must be a ScalarLearner!!!" << endl;
			exit(-1);
		}
		
		_pScalaWeakHypothesisSource->initLearningOptions(args);
		
		/*
		 for( int ib = 0; ib < _numBaseLearners; ++ib ) {			
		 vector< int > tmpVector( 2, -1 );
		 _idxPairs.push_back( tmpVector );
		 }
		 */
	}
开发者ID:busarobi，项目名称:MDDAG2，代码行数:29，代码来源:TreeLearner.cpp

示例2: initLearningOptions

	void BaseLearner::initLearningOptions(const nor_utils::Args& args)
	{
		if ( args.hasArgument("verbose") )
			args.getValue("verbose", 0, _verbose);

		// Set the value of theta
		if ( args.hasArgument("edgeoffset") )
			args.getValue("edgeoffset", 0, _theta);   
	}
开发者ID:busarobi，项目名称:MDDAG，代码行数:9，代码来源:BaseLearner.cpp

示例3: initLearningOptions

void ParasiteLearner::initLearningOptions(const nor_utils::Args& args)
{
   BaseLearner::initLearningOptions(args);

   args.getValue("pool", 0, _nameBaseLearnerFile);   
   args.getValue("pool", 1, _numBaseLearners);   

   if ( args.hasArgument("closed") )
      _closed = 1;
}
开发者ID:ShenWei，项目名称:src，代码行数:10，代码来源:ParasiteLearner.cpp

示例4: 

	VJCascadeClassifier::VJCascadeClassifier(const nor_utils::Args &args, int verbose)
	: _verbose(verbose), _args(args), _positiveLabelIndex(-1)
	{
		// The file with the step-by-step information
		if ( args.hasArgument("outputinfo") )
			args.getValue("outputinfo", 0, _outputInfoFile);
		
		if ( args.hasArgument("positivelabel") )
		{
			args.getValue("positivelabel", 0, _positiveLabelName);
		} else {
			cout << "The name of positive label has to be given!!!" << endl;
			exit(-1);
		}				
	}
开发者ID:busarobi，项目名称:MDDAG2，代码行数:15，代码来源:VJCascadeClassifier.cpp

示例5: 

MDDAGClassifier::MDDAGClassifier(const nor_utils::Args &args, int verbose)
    : _verbose(verbose), _args(args)
{
    // The file with the step-by-step information
    if ( args.hasArgument("outputinfo") )
        args.getValue("outputinfo", 0, _outputInfoFile);
}
开发者ID:busarobi，项目名称:MDDAG2，代码行数:7，代码来源:MDDAGClassifier.cpp

示例6: initLearningOptions

	void StochasticLearner::initLearningOptions(const nor_utils::Args& args)
	{
		BaseLearner::initLearningOptions(args);
		
		if (args.hasArgument("initgamma"))
			args.getValue("initgamma", 0, _initialGammat);   		
		
		if (args.hasArgument("gammdivperiod"))
			args.getValue("gammdivperiod", 0, _gammdivperiod);   		
		
		
		if (args.hasArgument("graditer"))
			args.getValue("graditer", 0, _maxIter);   		
		
		if (args.hasArgument("gradmethod"))
		{
			string gradMethod;
			args.getValue("gradmethod", 0, gradMethod);   		
			
			if ( gradMethod.compare( "sgd" ) == 0 )
				_gMethod = OPT_SGD;
			else if ( gradMethod.compare( "bgd" ) == 0 )
				_gMethod = OPT_BGD;
			else {
				cerr << "SigmoidSingleStumpLearner::Unknown update gradient method" << endl;
				exit( -1 );
			}					
		}		
		
		if (args.hasArgument("tfunc"))
		{
			string targetFunction;
			args.getValue("tfunc", 0, targetFunction);
			
			if ( targetFunction.compare( "exploss" ) == 0 )
				_tFunction = TF_EXPLOSS;
			else if ( targetFunction.compare( "edge" ) == 0 )
				_tFunction = TF_EDGE;
			else {
				cerr << "SigmoidSingleStumpLearner::Unknown target function" << endl;
				exit( -1 );				
			}					
			
		}
		
	}
开发者ID:busarobi，项目名称:MDDAG2，代码行数:46，代码来源:StochasticLearner.cpp

示例7: initLearningOptions

	void EnumLearnerSA::initLearningOptions(const nor_utils::Args& args)
	{
		BaseLearner::initLearningOptions(args);

		if ( args.hasArgument( "uoffset" ) )  
			args.getValue("uoffset", 0, _uOffset);   

	}
开发者ID:ShenWei，项目名称:src，代码行数:8，代码来源:EnumLearnerSA.cpp

示例8: getArgs

void MultiMDDAGLearner::getArgs(const nor_utils::Args& args)
{
    MDDAGLearner::getArgs(args);

    // Set the value of theta
    if ( args.hasArgument("updateperc") )
        args.getValue("updateperc", 0, _randomNPercent);

}
开发者ID:busarobi，项目名称:MDDAG2，代码行数:9，代码来源:MultiMDDAGLearner.cpp

示例9: initLearningOptions

	void ProductLearner::initLearningOptions(const nor_utils::Args& args)
	{
		BaseLearner::initLearningOptions(args);

		string baseLearnerName;
		args.getValue("baselearnertype", 0, baseLearnerName);   
		args.getValue("baselearnertype", 1, _numBaseLearners);   

		// get the registered weak learner (type from name)
		BaseLearner* pWeakHypothesisSource = 
			BaseLearner::RegisteredLearners().getLearner(baseLearnerName);
		pWeakHypothesisSource->initLearningOptions(args);

		for( int ib = 0; ib < _numBaseLearners; ++ib ) {
			_baseLearners.push_back(pWeakHypothesisSource->create());
			_baseLearners[ib]->initLearningOptions(args);
		}
	}
开发者ID:busarobi，项目名称:MDDAG2，代码行数:18，代码来源:ProductLearner.cpp

示例10: getArgs

	void FilterBoostLearner::getArgs(const nor_utils::Args& args)
	{
		AdaBoostMHLearner::getArgs( args );
		// Set the value of the sample size
		if ( args.hasArgument("Cn") )
		{
			args.getValue("C", 0, _Cn);
			if (_verbose > 1)
				cout << "--> Resampling size: " << _Cn << endl;
		}

	}
开发者ID:busarobi，项目名称:MDDAG，代码行数:12，代码来源:FilterBoostLearner.cpp

示例11: resumeProcess

int MultiMDDAGLearner::resumeProcess(const nor_utils::Args& args, InputData* pTestData)
{
    int numPolicies = 0;

    AlphaReal policyAlpha = 0.0;

    if ( args.hasArgument("policyalpha") )
        args.getValue("policyalpha", 0, policyAlpha);

    _policy = new AdaBoostArrayOfPolicyArray(args, _actionNumber);

    return numPolicies;
}
开发者ID:busarobi，项目名称:MDDAG2，代码行数:13，代码来源:MultiMDDAGLearner.cpp

示例12: classify

 void SoftCascadeLearner::classify(const nor_utils::Args& args)
 {
     SoftCascadeClassifier classifier(args, _verbose);
             
     string testFileName = args.getValue<string>("test", 0);
     string shypFileName = args.getValue<string>("test", 1);
     int numIterations = args.getValue<int>("test", 2);
             
     string outResFileName = "";
     if ( args.getNumValues("test") > 3 )
         args.getValue("test", 3, outResFileName);
             
     classifier.run(testFileName, shypFileName, numIterations, outResFileName);
 }
开发者ID:junjiek，项目名称:cmu-exp，代码行数:14，代码来源:SoftCascadeLearner.cpp

示例13: classify

	void FilterBoostLearner::classify(const nor_utils::Args& args)
	{
		FilterBoostClassifier classifier(args, _verbose);

		// -test <dataFile> <shypFile>
		string testFileName = args.getValue<string>("test", 0);
		string shypFileName = args.getValue<string>("test", 1);
		int numIterations = args.getValue<int>("test", 2);

		string outResFileName;
		if ( args.getNumValues("test") > 3 )
			args.getValue("test", 3, outResFileName);

		classifier.run(testFileName, shypFileName, numIterations, outResFileName);
	}
开发者ID:ShenWei，项目名称:src，代码行数:15，代码来源:FilterBoostLearner.cpp

示例14: initLearningOptions

void TreeLearnerUCT::initLearningOptions(const nor_utils::Args& args)
{
    BaseLearner::initLearningOptions(args);

    string baseLearnerName;
    args.getValue("baselearnertype", 0, baseLearnerName);
    args.getValue("baselearnertype", 1, _numBaseLearners);

    // get the registered weak learner (type from name)
    BaseLearner* pWeakHypothesisSource =
        BaseLearner::RegisteredLearners().getLearner(baseLearnerName);

    for( int ib = 0; ib < _numBaseLearners; ++ib ) {
        _baseLearners.push_back(pWeakHypothesisSource->create());
        _baseLearners[ib]->initLearningOptions(args);

        vector< int > tmpVector( 2, -1 );
        _idxPairs.push_back( tmpVector );
    }

    string updateRule = "";
    if ( args.hasArgument( "updaterule" ) )
        args.getValue("updaterule", 0, updateRule );

    if ( updateRule.compare( "edge" ) == 0 )
        _updateRule = EDGE_SQUARE;
    else if ( updateRule.compare( "alphas" ) == 0 )
        _updateRule = ALPHAS;
    else if ( updateRule.compare( "edgesquare" ) == 0 )
        _updateRule = ESQUARE;
    else {
        cerr << "Unknown update rule in ProductLearnerUCT (set to default [edge]" << endl;
        _updateRule = EDGE_SQUARE;
    }

}
开发者ID:junjiek，项目名称:cmu-exp，代码行数:36，代码来源:TreeLearnerUCT.cpp

示例15: initLearningOptions

// -----------------------------------------------------------------------
	void BanditLearner::initLearningOptions(const nor_utils::Args& args)
	{
		BaseLearner::initLearningOptions(args);

		string updateRule = "";
		if ( args.hasArgument( "updaterule" ) )
			args.getValue("updaterule", 0, updateRule );   

		if ( updateRule.compare( "edge" ) == 0 )
			_updateRule = EDGE_SQUARE;
		else if ( updateRule.compare( "logedge" ) == 0 )
			_updateRule = LOGEDGE;
		else if ( updateRule.compare( "alphas" ) == 0 )
			_updateRule = ALPHAS;
		else if ( updateRule.compare( "edgesquare" ) == 0 )
			_updateRule = ESQUARE;
		else {
			//cerr << "Unknown update rule in ProductLearnerUCT (set to default [edge]" << endl;
			_updateRule = LOGEDGE;
		}

		if ( args.hasArgument( "rsample" ) ){
			_K = args.getValue<int>("rsample", 0);
		}

		string banditAlgoName = "";
		if ( args.hasArgument( "banditalgo" ) )
			args.getValue("banditalgo", 0, banditAlgoName ); 

		if ( banditAlgoName.compare( "Random" ) == 0 )
			_banditAlgoName = BA_RANDOM_LS;
		else if ( banditAlgoName.compare( "UCBK" ) == 0 )
			_banditAlgoName = BA_UCBK_LS;
		else if ( banditAlgoName.compare( "UCBKR" ) == 0 )
			_banditAlgoName = BA_UCBKR_LS;
		else if ( banditAlgoName.compare( "UCBKV" ) == 0 )
			_banditAlgoName = BA_UCBKV_LS;
		else if ( banditAlgoName.compare( "EXP3" ) == 0 )
			_banditAlgoName = BA_EXP3_LS;
		else if ( banditAlgoName.compare( "EXP3G" ) == 0 )
			_banditAlgoName = BA_EXP3G_LS;
		else if ( banditAlgoName.compare( "UCT" ) == 0 )
			_banditAlgoName = BA_UCT_LS;
		else {
			cerr << "Unknown bandit algo (BanditSingleStumpLearner)" << endl;
			_banditAlgoName = BA_EXP3_LS;
		}

		if ( _banditAlgo == NULL ) {
			switch ( _banditAlgoName )
			{
				case BA_RANDOM_LS:
					//_banditAlgo =  new Random();
					break;	
				case BA_UCBK_LS:
					//_banditAlgo =  new UCBK();
					break;
				case BA_UCBKV_LS:
					//_banditAlgo =  new UCBKV();
					break;
				case BA_UCBKR_LS:
					//_banditAlgo = new UCBKRandomized();
					break;
				case BA_EXP3_LS:
					_banditAlgo = dynamic_cast<GenericBanditAlgorithmLS<double,string>*>( new Exp3LS<double,string>());
					break;
				case BA_EXP3G_LS:
					_banditAlgo = dynamic_cast<GenericBanditAlgorithmLS<double,string>*>(new Exp3GLS<double,string>());
					break;
				case BA_UCT_LS:					
					_banditAlgo = dynamic_cast<GenericBanditAlgorithmLS<double,string>*>(new UCT<double,string>());
					break;
				default:
					cerr << "There is no bandit algorithm to be given!" << endl;
					exit( -1 );
			}			
		}

	}
开发者ID:busarobi，项目名称:MDDAG2，代码行数:80，代码来源:BanditLearner.cpp


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