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binary_log_loss.hpp
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1 #ifndef STAN__MATH__FUNCTIONS__BINARY_LOG_LOSS_HPP
2 #define STAN__MATH__FUNCTIONS__BINARY_LOG_LOSS_HPP
3 
4 #include <boost/math/tools/promotion.hpp>
5 
6 namespace stan {
7  namespace math {
8 
24  template <typename T>
25  inline typename boost::math::tools::promote_args<T>::type
26  binary_log_loss(const int y, const T y_hat) {
27  using std::log;
28  return -log(y ? y_hat : (1.0 - y_hat));
29  }
30 
31  }
32 }
33 
34 #endif
boost::math::tools::promote_args< T >::type binary_log_loss(const int y, const T y_hat)
Returns the log loss function for binary classification with specified reference and response values...
Eigen::Matrix< T, Rows, Cols > log(const Eigen::Matrix< T, Rows, Cols > &m)
Return the element-wise logarithm of the matrix or vector.
Definition: log.hpp:16
fvar< T > log(const fvar< T > &x)
Definition: log.hpp:15

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