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reverse mode automatic differentiation
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math
fwd
scal
fun
binary_log_loss.hpp
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#ifndef STAN_MATH_FWD_SCAL_FUN_BINARY_LOG_LOSS_HPP
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#define STAN_MATH_FWD_SCAL_FUN_BINARY_LOG_LOSS_HPP
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#include <
stan/math/fwd/core.hpp
>
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#include <
stan/math/prim/scal/fun/binary_log_loss.hpp
>
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namespace
stan
{
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namespace
math {
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template
<
typename
T>
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inline
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fvar<T>
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binary_log_loss
(
const
int
y,
const
fvar<T>
& y_hat) {
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using
stan::math::binary_log_loss
;
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if
(y)
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return
fvar<T>
(
binary_log_loss
(y, y_hat.
val_
),
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-y_hat.
d_
/ y_hat.
val_
);
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else
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return
fvar<T>
(
binary_log_loss
(y, y_hat.
val_
),
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y_hat.
d_
/ (1.0 - y_hat.
val_
));
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}
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}
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}
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#endif
core.hpp
stan::math::fvar::d_
T d_
Definition:
fvar.hpp:15
stan
Definition:
log_sum_exp.hpp:8
stan::math::binary_log_loss
fvar< T > binary_log_loss(const int y, const fvar< T > &y_hat)
Definition:
binary_log_loss.hpp:15
binary_log_loss.hpp
stan::math::fvar::val_
T val_
Definition:
fvar.hpp:14
stan::math::fvar
Definition:
fvar.hpp:13
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