dot-loss: Loss
In starnet: Stacked Elastic Net
.loss R Documentation
Loss
Description
Calculate loss from predicted and observed values
Usage
.loss(y, x, family, type.measure, foldid = NULL, grouped = TRUE)
Arguments
y
observed values:
numeric vector of length n
x
predicted values:
numeric vector of length n
family
character "gaussian", "binomial", "poisson",
"mgaussian", or "multinomial" (to implement: "cox")
type.measure
character "deviance", "mse", "mae", "class",
or "auc"
foldid
fold identifiers:
integer vector of length n,
or NULL
grouped
logical (for "cox" only)
Examples
NA
starnet documentation built on June 10, 2025, 5:13 p.m.
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| .loss | R Documentation |
Loss
Description
Calculate loss from predicted and observed values
Usage
.loss(y, x, family, type.measure, foldid = NULL, grouped = TRUE)
Arguments
y |
observed values:
numeric vector of length |
x |
predicted values:
numeric vector of length |
family |
character |
type.measure |
character |
foldid |
fold identifiers:
integer vector of length |
grouped |
logical (for |
Examples
NA
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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