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C++ TBenchmark::Summary方法代码示例

本文整理汇总了C++中TBenchmark::Summary方法的典型用法代码示例。如果您正苦于以下问题:C++ TBenchmark::Summary方法的具体用法?C++ TBenchmark::Summary怎么用?C++ TBenchmark::Summary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TBenchmark的用法示例。


在下文中一共展示了TBenchmark::Summary方法的1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: GradeCorrelation


//.........这里部分代码省略.........
				// Find next regular term only
				bool foundRegTerm = false;
				for (int jTerm = iTerm + 1; jTerm < nTerms && !foundRegTerm; ++jTerm) {
					const Student::Enrollment jEnrollment = student->Enrollments()[jTerm];
					if (!MyFunctions::regularSemester(jEnrollment.term)) continue;
					foundRegTerm = true;
					for (Student::Grade jGrade : jEnrollment.grades) {
						if (jGrade.course == iGrade.course) continue;
						if (!MyFunctions::ValidGrade(jGrade.grade)) continue;
						
						double prediction_j = student->CourseGradePrediction(jGrade, Student::DISTRIBUTION);
						double delta_j = jGrade.quality - prediction_j;
						
						corrMap[std::make_pair(iGrade.course, jGrade.course)].Add(delta_i, delta_j);
						++nPairAll;
						
					}
				}
			} 
		}
		
	}
	myBenchmark->Stop("Main Loop");
	
	std::cout << "nPairAll     = " << nPairAll << std::endl;
	std::cout << "Unique Pairs = " << corrMap.size() << std::endl;
	
	TH1D* rHist = new TH1D("rHist", "Correlation Coefficient, #rho", 120, -1.2, 1.2);
	TH1D* pHist = new TH1D("pHist", "Probablity Distribution", 100, 0., 1.);
	TH1D* nHist = new TH1D("nHist", "Number of entries", 100, 0., 2000.);
	TH2D* pVrHist = new TH2D("pVrHist", "Prob vs. #rho", 100, -1., 1., 100, 0., 1.);
	
	myBenchmark->Start("Prune");
	for (auto iter = corrMap.begin(); iter != corrMap.end();) {
		if (iter->second.n() < nCut) {
			corrMap.erase(iter++);
			continue;
		}
		double p = iter->second.p();
		double r = iter->second.r();

		// Test for nan?
		if (p != p) {
			std::cout << "Found p = nan: n = " << iter->second.n() << std::endl;
			corrMap.erase(iter++);
			continue;
		}
		if (p < 0.) {
			corrMap.erase(iter++);
			continue;
		}
		rHist->Fill(r);
		pHist->Fill(p);
		nHist->Fill(iter->second.n());
		pVrHist->Fill(r, p);
		if (p < 1. - prob && p > prob) {
			corrMap.erase(iter++);
		}
		else {
			std::cout << "r = " << iter->second.r() << ", p = " << p << std::endl;
			++iter;
		}
	}
	myBenchmark->Stop("Prune");
	std::cout << "Post Cut     = " << corrMap.size() << std::endl;
	
	myBenchmark->Start("Sort");
	std::vector<std::pair<std::pair<TString, TString>, CorrelationCalculator>> corrVec(corrMap.begin(), corrMap.end());
	std::sort(corrVec.begin(), corrVec.end(), &sortFunc);
	myBenchmark->Stop("Sort");
	
	int printTop = 50;
	int printed = 0;
	for (auto const& entry : corrVec) {
		std::cout << entry.first.first << " : " << entry.first.second << "\t, n = " << entry.second.n() << "\t, r = " << entry.second.r() 
			<< "\t, p = " << entry.second.p() << std::endl;
		++printed;
		if (printed >= printTop) break;
	}

	TCanvas* c1 = new TCanvas("c1", "Grade Correlation", 1600, 1200);
	c1->Divide(2,2);
	c1->cd(1);
	TF1* myGaus = new TF1("myGaus", "gaus", -1., 1.);
	myGaus->SetParameters(600., 0., 0.2);
	myGaus->FixParameter(1, 0.);
	rHist->Fit(myGaus, "0B", "", -1., 0.);
	rHist->DrawCopy();
	myGaus->DrawCopy("SAME");
	c1->cd(2);
	pHist->DrawCopy();
	c1->cd(3);
	nHist->DrawCopy();
	c1->cd(4);
	pVrHist->DrawCopy();
	
	float rt, cp;
	myBenchmark->Summary(rt, cp);
	
}
开发者ID:DouglasRoberts,项目名称:GradeClusterCode,代码行数:101,代码来源:GradeCorrelation.C


注:本文中的TBenchmark::Summary方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。