//---------------------------------------------------------------------------//
// Run a uniform cell test.
void uniformCellTest( const int num_sets, bool &success,
Teuchos::FancyOStream &out )
{
// Get the communicator.
auto comm = Teuchos::DefaultComm<int>::getComm();
// Only run this test if we have enough cores for the sets.
if ( num_sets <= comm->getSize() )
{
// Create test parameters.
auto params = createProblem( num_sets );
// Build a deterministic mesh.
DataTransferKit::Benchmark::MonteCarloMesh mesh(
comm, params.num_sets, params.x_global_num_cell,
params.y_global_num_cell, params.z_global_num_cell, params.dx,
params.dy, params.dz, params.x_bnd_mesh, params.y_bnd_mesh,
params.z_bnd_mesh );
// Check the result.
checkResults( num_sets, *( mesh.cartesianMesh() ), params, success,
out );
}
else
{
std::cout << "Not enough cores to test with so " << num_sets
<< " sets test not run." << std::endl;
}
}
void TrainableOneClassSvmClassifier::train() {
problem = move(createProblem());
const char* message = svm_check_parameter(problem.get(), param.get());
if (message != 0)
throw invalid_argument(string("invalid SVM parameters: ") + message);
model.reset(svm_train(problem.get(), param.get()));
updateSvmParameters();
}
DSP_RTN_CODE BdMaster::init()
{
BGN_TRY_CATCH
/** create problem */
createProblem();
/** set node limit */
si_->setNodeLimit(par_->getIntParam("NODE_LIM"));
/** set print level */
si_->setPrintLevel(CoinMin(par_->getIntParam("LOG_LEVEL") + 2, 5));
END_TRY_CATCH_RTN(;,DSP_RTN_ERR)
