Description Usage Arguments Value
View source: R/GD_k fold cv_parallel.R
cvparallel is used to parallelize the k-fold cross validation
1 | cvparallel(k, formula, df, tolerance, maxit, stepsize, verbose, cores)
|
k |
[numeric] number of fold to create |
formula |
[character] a symbolic description of the model to be fitted (as lm), with -1 if the intercept is not included |
df |
[numeric] dataset containing the variables of interest |
tolerance |
[numeric] tolerance level, stopping criteria of the algorithm (error<tolerance: stop) |
maxit |
[numeric] maximum number of iterations, used if the stopping criteria is never matched |
stepsize |
[numeric] learning parameter, to update the parameters at each iteration |
verbose |
[logical] indicating if the function write messages during the computation |
cores |
the number of cores to be used in the parallelization |
[numeric] a vector of sample mean square errors calculated
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