Summarize an xplus model
Usage
# S3 method for class 'xplus'
summary(object, ...)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)
summary(fit)
#> Summary of xplus model
#> Observations: 100
#> Features: 5
#> Iterations: 5
#> Stop reason: max_iter
#> Original positives: 20
#> Original unlabeled: 80
#> Fallback used: FALSE
#> Final training target range: 0 to 1
#> Final soft targets: 59
#> CV measure: deviance
#> Sampling: bootstrap
#> Unlabeled coverage: 0.7375
#> Cutoff: 0.4683134
#> lambda.min: 0.02089059
#> lambda.1se: 0.0925583
#> Non-zero coefficients: 4