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Extract feature scores from an xplus model

Source: R/get_importance.R
get_importance.Rd

Return backend-specific feature scores: elastic-net coefficients at "lambda.min" for "glmnet", variable importance for "ranger", and smooth-term significance (-log10 of the mgcv p-value) for "gam". Backends without an importance function return NULL.

Usage

get_importance(object)

Arguments

object

An xplus object.

Value

A named numeric vector of feature scores, or NULL when the backend does not provide one or the fitted model is unavailable.

See also

xplus(), xplus_backend(), coef.xplus()

Examples

set.seed(1)
x <- matrix(rnorm(100 * 5), ncol = 5)
y <- c(rep(1, 20), rep(0, 80))
fit <- xplus(x, y, max_iter = 5)
get_importance(fit)
#>         V1         V2         V3         V4         V5 
#> 0.16658313 0.00000000 0.04972193 0.29994787 0.00000000