normalization | R Documentation |
This slot stores the name of normalization method. Normalization is defined using type
argument in trainNBLDA
function.
## S4 method for signature 'nblda' normalization(object) ## S4 method for signature 'nblda_trained' normalization(object)
object |
an |
trainNBLDA
set.seed(2128) counts <- generateCountData(n = 20, p = 10, K = 2, param = 1, sdsignal = 0.5, DE = 0.8, allZero.rm = FALSE, tag.samples = TRUE) x <- t(counts$x + 1) y <- counts$y xte <- t(counts$xte + 1) ctrl <- nbldaControl(folds = 2, repeats = 2) fit <- trainNBLDA(x = x, y = y, type = "mle", tuneLength = 10, metric = "accuracy", train.control = ctrl) normalization(fit)
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