score | R Documentation |
This function is a unified interface to return various types of loss for a
model fit with SLOPE()
.
score(object, x, y, measure) ## S3 method for class 'GaussianSLOPE' score(object, x, y, measure = c("mse", "mae")) ## S3 method for class 'BinomialSLOPE' score(object, x, y, measure = c("mse", "mae", "deviance", "misclass", "auc")) ## S3 method for class 'MultinomialSLOPE' score(object, x, y, measure = c("mse", "mae", "deviance", "misclass")) ## S3 method for class 'PoissonSLOPE' score(object, x, y, measure = c("mse", "mae"))
object |
an object of class |
x |
feature matrix |
y |
response |
measure |
type of target measure. |
The measure along the regularization path depending on the
value in measure
.#'
SLOPE()
, predict.SLOPE()
Other SLOPE-methods:
coef.SLOPE()
,
deviance.SLOPE()
,
plot.SLOPE()
,
predict.SLOPE()
,
print.SLOPE()
x <- subset(infert, select = c("induced", "age", "pooled.stratum")) y <- infert$case fit <- SLOPE(x, y, family = "binomial") score(fit, x, y, measure = "auc")
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