opt_sol_osqp: Optimal solution of SVHM
In herglola/SVHM: Support-Vector-Hazard-Machine
View source: R/sol_osqp_func.R
opt_sol_osqp R Documentation
Optimal solution of SVHM
Description
Uses the osqp package to solve the quadratic optimization problem defined by SVHM.
Usage
opt_sol_osqp(optimizazion_data, num_event_times, cost)
Arguments
num_event_times
number of event times in the training dataset
cost
cost parameter of the support vector machine of type numeric
optimization_data
all values needed for optimization in a list with order (risk_vector, adapted_kernel_matrix, cond_mat, weight_vec)
Value
optimal solution for the SVHM
herglola/SVHM documentation built on March 24, 2022, 12:44 p.m.
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View source: R/sol_osqp_func.R
| opt_sol_osqp | R Documentation |
Optimal solution of SVHM
Description
Uses the osqp package to solve the quadratic optimization problem defined by SVHM.
Usage
opt_sol_osqp(optimizazion_data, num_event_times, cost)
Arguments
num_event_times |
number of event times in the training dataset |
cost |
cost parameter of the support vector machine of type numeric |
optimization_data |
all values needed for optimization in a list with order (risk_vector, adapted_kernel_matrix, cond_mat, weight_vec) |
Value
optimal solution for the SVHM
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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