1 #ifndef STAN_MATH_REV_SCAL_FUN_BINARY_LOG_LOSS_HPP 2 #define STAN_MATH_REV_SCAL_FUN_BINARY_LOG_LOSS_HPP
void chain()
Apply the chain rule to this variable based on the variables on which it depends. ...
fvar< T > log(const fvar< T > &x)
The variable implementation base class.
Independent (input) and dependent (output) variables for gradients.
const double val_
The value of this variable.
void chain()
Apply the chain rule to this variable based on the variables on which it depends. ...
fvar< T > binary_log_loss(int y, const fvar< T > &y_hat)
vari * vi_
Pointer to the implementation of this variable.
binary_log_loss_0_vari(vari *avi)
fvar< T > log1p(const fvar< T > &x)
double adj_
The adjoint of this variable, which is the partial derivative of this variable with respect to the ro...
binary_log_loss_1_vari(vari *avi)