skmRpl_mlp_cpp {skm} | R Documentation |
skmRpl_mlp_cpp
Description
solve skm with multiple runs in parallel
Usage
skmRpl_mlp_cpp(x, k, s_must, max_it, max_at, skmRpl_GS = 100L)
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. |
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. |
skmRpl_GS |
skmRpl_GS: RcppParallel grain size when run skmRpl_mlp_cpp |
Details
refer skm_sgl_cpp
Value
skmSolution skmSolution present in r list
[Package skm version 0.1.5.4 Index]