## Executable examples are disabled for routine package builds. Set LKT_RUN_EXPENSIVE_VIGNETTES=true to run this vignette.
The full LASSO path is intentionally not evaluated during routine
CRAN checks. Set LKT_RUN_EXPENSIVE_VIGNETTES=true to
execute it when rendering.
LASSO_Model <- LASSOLKTModel(
data = data.table::setDT(val),
gridpars = (1:9) / 10,
removecomp = c(
"Anon.Student.Id", "Anon.Student.Id", "Anon.Student.Id",
"KC..Default.", "KC..Default.", "KC..Default.", "KC..Default.",
"KC..Default.", "KC..Default.", "KC..Default.", "KC..Default.",
"KC..Default.", "KC..Default.", "KC..Default.", "KC..Default.",
"KC..Default."
),
removefeat = c(
"intercept", "logsuc$", "logfail$",
"lineafm", "logafm", "logsuc", "logfail", "logsuc", "logfail",
"linesuc", "linefail", "logitdec", "propdec", "recency",
"logsuc$", "logfail$"
),
allcomponents = c("Anon.Student.Id", "KC..Cluster.", "KC..Default."),
allfeatures = c(
"intercept", "lineafm", "logafm", "logsuc", "logfail",
"logsuc", "logfail", "linesuc", "linefail", "logitdec",
"propdec", "recency", "logsuc$", "logfail$"
),
target_n = 100,
test_fold = 1
)
check_true("LASSOLKT returned a list", is.list(LASSO_Model))
check_true("LASSOLKT has glmnet fit", inherits(LASSO_Model$fit, "glmnet"))
check_true("LASSOLKT target AUC finite", is.finite(as.numeric(LASSO_Model$target_auc)))
check_true("LASSOLKT target coefficients present", nrow(LASSO_Model$target_coefs) > 0)