本文整理汇总了C++中ME_Model::set_heldout方法的典型用法代码示例。如果您正苦于以下问题：C++ ME_Model::set_heldout方法的具体用法？C++ ME_Model::set_heldout怎么用？C++ ME_Model::set_heldout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ME_Model的用法示例。
在下文中一共展示了ME_Model::set_heldout方法的2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: train
void train(ME_Model & model, const string & filename)
{
ifstream ifile(filename.c_str());
if (!ifile) {
cerr << "error: cannot open " << filename << endl;
exit(1);
}
string line;
int n = 0;
while (getline(ifile, line)) {
vector<Token> vs = read_line(line);
for (int j = 0; j < (int)vs.size(); j++) {
ME_Sample mes = sample(vs, j);
model.add_training_sample(mes);
}
if (n++ > 10000) break;
}
model.use_l1_regularizer(1.0);
// model.use_l2_regularizer(1.0);
// model.use_SGD();
model.set_heldout(100);
model.train();
model.save_to_file("model");
}示例2: train_model
// Train model
RcppExport SEXP train_model(double l1=0, double l2=0, bool sgd=FALSE, int sgd_iter=30, double sgd_eta0=1, double sgd_alpha=0.85, int heldout=0) {
Rprintf("Training the new model...\n");
if (heldout > 0) model.set_heldout(heldout);
if (l1 > 0) model.use_l1_regularizer(l1);
else if (l2 > 0) model.use_l2_regularizer(l2);
else if (sgd) model.use_SGD();
model.train();
string model_data = model.save_to_string();
vector< vector<string> > weights = export_weights();
List rs = List::create(model_data,weights[0],weights[1],weights[2]);
return rs;
}