| skm_mls_cpp {skm} | R Documentation |
skm_mls_cpp
Description
solve skm with multiple runs in serial and return all w. optim and s_init stratified sampled w.r.t g
Usage
skm_mls_cpp(x, k, g, s_must, max_it, max_at)
Arguments
x |
an m x n matrix often m < n, as a convention index rows of x with s, and cols of x with t so x(i, j) can be expressed as (s_i, t_j) equally. |
k |
number of index to be selected from x row index start from 0. |
g |
stratify structure, often info on grouping of v so that algorithm should make random initialization from stratified sample across groups. |
s_must |
an index vector set should be selected before selecting other index. |
max_it |
max number of iterations can run for optimizing result. max number of iterations within a single initial run on optimal path. |
max_at |
max number of attempts or repeats on running for optimial results, max number of random initialization for finding optimial results. |
Details
refer skm_sgl_cpp
Value
skmSolution skmSolution present in r list
See Also
Other skm: skm_mlp_cpp,
skm_rgi_cpp, skm_rgs_cpp,
skm_sgl_cpp