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Stan Math Library
5.3.0
Automatic Differentiation
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#include <stan/math/prim/fun/Eigen.hpp>#include <stan/math/fwd/core.hpp>#include <stan/math/fwd/meta.hpp>#include <stan/math/fwd/fun/softmax.hpp>#include <stan/math/prim/err.hpp>#include <stan/math/prim/fun/log_softmax.hpp>#include <stan/math/prim/fun/to_ref.hpp>#include <stan/math/prim/functor/apply_vector_unary.hpp>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_std_vector_st< is_fvar, T > * = nullptr> | |
| auto | stan::math::log_softmax (T &&x) |
Return the log softmax of each vector in a container of fvar values. | |
| template<typename Vec , require_eigen_vector_vt< is_fvar, Vec > * = nullptr> | |
| auto | stan::math::log_softmax (Vec &&x) |
Return the log softmax of the specified vector of fvar values. | |