ordered_logistic_glm_lpmf.hpp File Reference

#include <stan/math/opencl/kernel_cl.hpp>
#include <stan/math/opencl/kernels/device_functions/log1m_exp.hpp>
#include <stan/math/opencl/kernels/device_functions/log1p_exp.hpp>
#include <stan/math/opencl/kernels/device_functions/inv_logit.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.
namespace	stan::math::opencl_kernels

Functions
__kernel void	stan::math::opencl_kernels::ordered_logistic_glm (__global double *location_sum, __global double *logp_global, __global double *location_derivative, __global double *cuts_derivative, const __global int *y_global, const __global double *x, const __global double *beta, const __global double *cuts, const int N_instances, const int N_attributes, const int N_classes, const int is_y_vector, const int need_location_derivative, const int need_cuts_derivative)
	GPU implementation of ordinal regression Generalized Linear Model (GLM).

Variables
const kernel_cl< out_buffer, out_buffer, out_buffer, out_buffer, in_buffer, in_buffer, in_buffer, in_buffer, int, int, int, int, int, int >	stan::math::opencl_kernels::ordered_logistic_glm ("ordered_logistic_glm", {log1p_exp_device_function, log1m_exp_device_function, inv_logit_device_function, ordered_logistic_glm_kernel_code}, {{"REDUCTION_STEP_SIZE", 4}, {"LOCAL_SIZE_", 64}})
	See the docs for ordered_logistic_glm() .