inputs: Accessors for the 'input' slot.
In dncR/NBLDA: Negative Binomial Linear Discriminant Analysis
Description
Usage
Arguments
See Also
Examples
Description
This slot stores the input data for trained model.
Usage
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## S4 method for signature 'nblda'
inputs(object)
Arguments
object
an nblda object.
See Also
Examples
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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$xte + 1)
ctrl <- nbldaControl(folds = 2, repeats = 2)
fit <- trainNBLDA(x = x, y = y, type = "mle", tuneLength = 10,
metric = "accuracy", train.control = ctrl)
inputs(fit)
dncR/NBLDA documentation built on Feb. 22, 2022, 12:59 a.m.
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Description Usage Arguments See Also Examples
Description
This slot stores the input data for trained model.
Usage
1 2 | ## S4 method for signature 'nblda'
inputs(object)
|
Arguments
object |
an |
See Also
Examples
1 2 3 4 5 6 7 8 9 10 11 12 | set.seed(2128)
counts <- generateCountData(n = 20, p = 10, K = 2, param = 1, sdsignal = 0.5, DE = 0.8,
allZero.rm = FALSE, tag.samples = TRUE)
x <- t(counts$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)
inputs(fit)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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