本文整理汇总了C++中Vocabulary::vocab方法的典型用法代码示例。如果您正苦于以下问题：C++ Vocabulary::vocab方法的具体用法？C++ Vocabulary::vocab怎么用？C++ Vocabulary::vocab使用的例子？那么恭喜您, 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Vocabulary的用法示例。
在下文中一共展示了Vocabulary::vocab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: save_word_vec
void save_word_vec(ostream& os, const Net& net, const Vocabulary& vocab) {
size_t sz = net.hidden_layer_size();
const vector<Word>& words = vocab.vocab();
os << words.size() << " " << sz << endl;
for (size_t i = 0; i != words.size(); ++i) {
os << words[i].word;
const real* v = net.get_input_vec(i);
for (size_t j = 0; j != sz; ++j) {
os << " " << v[j];
}
os << endl;
}
}示例2: main
int main(int argc, char **argv) {
uint64_t hidden_layer_size = 100;
int min_count = 5;
TrainPara train_para;
string save_vocab_file;
string read_vocab_file;
string train_file;
string vector_file;
if (argc < 3) {
cerr << usage << endl;
return -1;
}
train_file = argv[argc - 2];
vector_file = argv[argc - 1];
for (int i = 1; i < argc - 2; i += 2) {
string arg = argv[i];
const char* val = argv[i + 1];
if (arg == "-size") {
hidden_layer_size = atoi(val);
}
else if (arg == "-type") {
if (string(val) == "cbow") {
train_para.type = CBOW;
}
else if (string(val) == "skip-gram") {
train_para.type = SKIP_GRAM;
}
else {
cerr << "unknown -type: " << val << endl;;
return -1;
}
}
else if (arg == "-algo") {
if (string(val) == "ns") {
train_para.algo = NEG_SAMPLING;
}
else if (string(val) == "hs") {
train_para.algo = HIER_SOFTMAX;
}
else {
cerr << "unknown -algo: " << val << endl;;
return -1;
}
}
else if (arg == "-neg-sample") {
train_para.neg_sample_cnt = atoi(val);
}
else if (arg == "-window") {
train_para.window_size = atoi(val);
}
else if (arg == "-subsample") {
train_para.subsample_thres = atof(val);
}
else if (arg == "-thread") {
train_para.thread_cnt = atoi(val);
}
else if (arg == "-iter") {
train_para.iter_cnt = atoi(val);
}
else if (arg == "-min-count") {
min_count = atoi(val);
}
else if (arg == "-alpha") {
train_para.alpha = atof(val);
}
else if (arg == "-save-vocab") {
save_vocab_file = val;
}
else if (arg == "-read-vocab") {
read_vocab_file = val;
}
else {
cerr << "unknow argument: '" << arg << "'" << endl;
return -1;
}
}
if (train_para.alpha < 0) {
if (train_para.type == CBOW) {
train_para.alpha = 0.05;
}
else {
train_para.alpha = 0.025;
}
}
cerr << "parameters:" << endl
<< "size = " << hidden_layer_size << endl
<< "type = " << ((train_para.type==CBOW)?"cbow":"skip-gram") << endl
<< "algo = " << ((train_para.algo==HIER_SOFTMAX)?"hs":"neg sampling") << endl
<< "neg sampling cnt = " << train_para.neg_sample_cnt << endl
<< "window = " << train_para.window_size << endl
<< "subsample thres = " << train_para.subsample_thres << endl
<< "thread = " << train_para.thread_cnt << endl
<< "iter = " << train_para.iter_cnt << endl
<< "min count = " << min_count << endl
<< "alpha = " << train_para.alpha << endl
//.........这里部分代码省略.........