Estimate test error of svm panel
1 2 |
M |
= # of folds |
iter |
= number of times to repeat cross-valiation |
threads |
- number of cpus (each cross-valiation scheme performed on a separate node) |
progressBar |
- show progressbar (TRUE/FALE) |
X |
nxp matrix - training dataset |
Y |
categorical variables |
alpha |
= 1 (lasso), alpha = 0 (ridge), 0 < alpha < 1 (elastic net penalty) |
family |
"binomial" or "multinomial" |
lambda |
= strength of elastic net penalty |
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