本文整理汇总了C++中DataFrame::getSim方法的典型用法代码示例。如果您正苦于以下问题：C++ DataFrame::getSim方法的具体用法？C++ DataFrame::getSim怎么用？C++ DataFrame::getSim使用的例子？那么, 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DataFrame的用法示例。
在下文中一共展示了DataFrame::getSim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: demo
void demo(Instance instance, int seed) {
const int n = instance.N;
const int m = instance.M;
const int d = instance.D;
const int NUM_ANNOTATED = PORC_ANNOTATED * n;
srand(seed);
int* annotated;
vector<int> conflictGraph[n];
DataFrame dataFrame = load(instance);
annotated = randAnnotated(n, NUM_ANNOTATED);
imposeConflicts(annotated, dataFrame.getLabel(), conflictGraph, NUM_ANNOTATED);
int* s0;
double costS;
double bestCost = MAX_FLOAT;
int* bestSolution = new int[n];
int numRestarts = 100;
int p = 1;
int numPert = 1000;
int numExchanges = 0.3*instance.N;
double costS_;
vector<pii> G = loadGraph(dataFrame.getSim(), n);
// grasp phase
for(int i = 0; i < numRestarts; i++) {
s0 = graspConstructive(dataFrame, G);
KCenterSolver* solver = createSolver(dataFrame, s0);
solver->localSearch(conflictGraph);
costS = solver->getCost();
if(costS < bestCost) {
bestCost = costS;
bestSolution = solver->getSolution();
}
while(p <= numPert) {
int* s = perturbation(solver->getSolution(), numExchanges, n, m);
KCenterSolver* solver2 = createSolver(dataFrame, s);
solver2->localSearch(conflictGraph);
costS = solver2->getCost();
if(costS < bestCost) {
bestCost = costS;
bestSolution = solver2->getSolution();
}
delete solver2;
//printf("f(%d) = %.15f\n", p, bestCost);
p++;
}
p = 1;
printf("g(%d) = %.15g\n", i, bestCost);
delete solver;
}
/*printf("bestCost = %.15f\n", bestCost);
int p = 1;
int numPert = 1000;
int numExchanges = 0.3*instance.N;
double costS_;
// perturbation phase
while(p <= numPert) {
int* s = perturbation(bestSolution, numExchanges, n, m);
KCenterSolver* solver = createSolver(dataFrame, s);
solver->localSearch(dataFrame, conflictGraph);
costS_ = solver->getCost();
if(costS_ < bestCost) {
bestCost = costS_;
lastImp = p;
bestSolution = s;
}
delete solver;
printf("f(%d) = %.15f\n", p, bestCost);
p++;
}*/
evalSolution(bestSolution, dataFrame.getLabel(), instance, "perturbation");
printSolution(bestSolution, instance.N);
}