Stan Math Library
5.0.0
Automatic Differentiation
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#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/fun/log.hpp>
#include <stan/math/prim/fun/log1m.hpp>
#include <stan/math/prim/functor/apply_scalar_binary.hpp>
#include <cmath>
Go to the source code of this file.
Namespaces | |
namespace | stan |
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation. | |
namespace | stan::math |
Matrices and templated mathematical functions. | |
Functions | |
template<typename T , require_arithmetic_t< T > * = nullptr> | |
T | stan::math::binary_log_loss (int y, const T &y_hat) |
Returns the log loss function for binary classification with specified reference and response values. | |
template<typename T1 , typename T2 , require_any_container_t< T1, T2 > * = nullptr, require_not_var_matrix_t< T2 > * = nullptr> | |
auto | stan::math::binary_log_loss (const T1 &a, const T2 &b) |
Enables the vectorized application of the binary log loss function, when the first and/or second arguments are containers. | |