本文整理汇总了C++中CData::dim方法的典型用法代码示例。如果您正苦于以下问题：C++ CData::dim方法的具体用法？C++ CData::dim怎么用？C++ CData::dim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CData的用法示例。
在下文中一共展示了CData::dim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: main
int main(int argc, char** argv)
{
// sanity check
if(argc < 2)
{
std::cout << "Usage: ramp-bmrm-predict config.file" << std::endl;
std::cout << "Check the configfiles directory for examples" << std::endl;
std::cout << "ERROR: No configuration file given!" << std::endl;
exit(EXIT_FAILURE);
}
// the very first thing to do!
Configuration &config = Configuration::GetInstance();
config.ReadFromFile(argv[1]);
CData* data = 0;
CLoss* loss_vex = 0;
CLoss* loss_cav = 0;
CModel* model = 0;
try {
// serial computation with centralised data
config.SetString("Computation.mode", "SERIAL_CENTRALISED_DS");
std::string modelFilename = config.GetString("Model.modelFile");
std::string programMode = config.GetString("Program.mode");
data = CDataFactory::GetData();
model = CModelFactory::GetModel();
model->Initialize(modelFilename, data->dim());
CRampLossFactory::GetRampLoss(model,data, loss_vex, loss_cav);
if(programMode == "PREDICTION")
loss_vex->Predict(model);
else if(programMode == "EVALUATION")
loss_vex->Evaluate(model);
else
throw CBMRMException("unknown program mode <" + programMode +">","main()");
// compute ramp loss function value
Scalar lossVal_vex = 0.0;
Scalar lossVal_cav = 0.0;
loss_vex->ComputeLoss(lossVal_vex);
loss_cav->ComputeLoss(lossVal_cav);
std::cout << "a) Convex loss function value: " << lossVal_vex << std::endl;
std::cout << "b) Concave loss function linearization value: " << lossVal_cav << std::endl;
std::cout << "c) Ramp loss function value (a-b) : " << lossVal_vex - lossVal_cav << std::endl;
// cleaning up
delete model;
delete loss_vex;
delete loss_cav;
delete data;
}
catch(CBMRMException e) {
cout << e.Report() << endl;
}
return EXIT_SUCCESS;
}