本文整理汇总了C++中Samu::get_brel方法的典型用法代码示例。如果您正苦于以下问题：C++ Samu::get_brel方法的具体用法？C++ Samu::get_brel怎么用？C++ Samu::get_brel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Samu的用法示例。
在下文中一共展示了Samu::get_brel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: read_cache
double read_cache ( std::string & key, int &cnt, int &brel )
{
double sum {0.0};
int count {0};
for ( auto const & t: cache[key] )
{
if ( !samu.sleep() )
break;
if ( count++ >= samuHasAlreadyLearned )
break;
SPOTriplets tv;
tv.push_back ( t );
sum += to_samu ( 12, tv );
++cnt;
brel += samu.get_brel();
}
return sum;
}示例2: main
//.........这里部分代码省略.........
{
std::cerr << " iter, training file changed " << std::endl;
training_file = "bbe";
}
*/
/*
if ( ii == 1000 )
{
std::cerr << " iter, training file changed " << std::endl;
samu.set_training_file ( "bbe" );
}
else if ( ii == 1000 + 4000 )
{
std::cerr << " iter, training file changed " << std::endl;
training_file = "none";
samu.set_training_file ( training_file );
}
else if ( ii == 1000 + 4000 + 5000 )
{
std::cerr << " iter, training file changed " << std::endl;
samu.set_training_file ( "bbe" );
}
else if ( ii == 1000 + 4000 + 5000 + 4000 )
{
std::cerr << " iter, training file changed " << std::endl;
training_file = "none";
samu.set_training_file ( training_file );
}
*/
#endif
samu.clear_vi();
if ( samu.get_training_file() == training_file )
{
samu.set_N_e ( N_e );
for ( int i {0}; i<test_triplets["introduce myself"].size() && samu.sleep(); ++i )
{
SPOTriplets tv;
tv.push_back ( test_triplets["introduce myself"][i] );
sum += to_samu ( 11, tv );
++cnt;
brel += samu.get_brel();
}
}
else
{
samu.set_N_e ( N_e );
std::string key = samu.get_training_file();
if ( cache.find ( key ) == cache.end() )
{
std::fstream triplet_train ( key+".triplets", std::ios_base::in );
if ( triplet_train )
{
do
{
SPOTriplet t;
triplet_train >> t;
if ( !t.empty() )
cache[key].push_back ( t );
}
while ( !triplet_train.eof() && samu.sleep() );
triplet_train.close();
sum = read_cache ( key, cnt, brel );
}
else
{
std::fstream train ( samu.get_training_file(), std::ios_base::in );
if ( train )
{
std::string file = key+".triplets";
for ( std::string line; std::getline ( train, line ) && samu.sleep(); )
{
#ifndef TRIPLET_CACHE
sum += to_samu ( 12, line );
#else
sum += to_samu ( 12, line, file );
#endif
++cnt;
brel += samu.get_brel();
}
train.close();
}
}
}
else
{