//----------------------------------------------------------------------------------------------
/// Initialize the algorithm's properties.
void EstimateFitParameters::initConcrete() {
std::vector<std::string> types{"Monte Carlo", "Cross Entropy"};
Kernel::StringListValidator TypesValidator(types);
declareCostFunctionProperty();
declareProperty("NSamples", 100, "Number of samples.");
declareProperty("Constraints", "",
"Additional constraints on tied parameters.");
declareProperty("Type", "Monte Carlo",
R"(Type of the algorithm: "Monte Carlo" or "Cross Entropy")");
declareProperty("NOutputs", 10, "Number of parameter sets to output to "
"OutputWorkspace. Unused if OutputWorkspace "
"isn't set. (Monte Carlo only)");
declareProperty(Kernel::make_unique<WorkspaceProperty<ITableWorkspace>>(
"OutputWorkspace", "", Direction::Output,
Mantid::API::PropertyMode::Optional),
"Optional: A table workspace with parameter sets producing "
"the smallest values of cost function. (Monte Carlo only)");
declareProperty("NIterations", 10,
"Number of iterations of the Cross Entropy algorithm.");
declareProperty("Selection", 10, "Size of the selection in the Cross Entropy "
"algorithm from which to estimate new "
"distribution parameters for the next "
"iteration.");
declareProperty("FixBadParameters", false, "If true try to estimate which "
"parameters may cause problems "
"for fitting and fix them.");
declareProperty("Seed", 0, "A seed value for the random number generator. "
"The default value (0) makes the generator use a "
"random seed.");
}
//----------------------------------------------------------------------------------------------
/// Initialize the algorithm's properties.
void EstimateFitParameters::initConcrete() {
std::vector<std::string> types{"Monte Carlo", "Cross Entropy"};
Kernel::StringListValidator TypesValidator(types);
declareCostFunctionProperty();
declareProperty("NSamples", 100, "Number of samples.");
declareProperty("Constraints", "",
"Additional constraints on tied parameters.");
declareProperty(
"Type", "Monte Carlo",
"Type of the algorithm: \"Monte Carlo\" or \"Cross Entropy\"");
declareProperty("NIterations", 10,
"Number of iterations of the Cross Entropy algorithm.");
declareProperty("Selection", 10, "Size of the selection in the Cross Entropy "
"algorithm from which to estimate new "
"distribution parameters for the next "
"iteration.");
declareProperty("FixBadParameters", false, "If true try to estimate which "
"parameters may cause problems "
"for fitting and fix them.");
declareProperty("Seed", 0, "A seed value for the random number generator. "
"The default value (0) makes the generator use a "
"random seed.");
}
