Nothing
fit <- fit_standard_pbc$fast
fit_new <- orsf_update(fit, formula = . ~ . - edema - spiders,
n_tree = n_tree_test + 1)
fit_newer <- orsf_update(fit_new, formula = . ~ . + spiders)
fit_untrained <- orsf_update(fit, no_fit = TRUE)
fit_trained <- orsf_update(fit_untrained, no_fit = FALSE)
test_that(
desc = "train and untrain update trained status and parameters",
code = {
expect_false(fit_untrained$trained)
expect_null(fit_untrained$get_means())
expect_equal(fit_untrained$get_mean_leaves_per_tree(), 0)
expect_true(fit_trained$trained)
expect_equal(fit_trained$get_means(), fit$get_means())
expect_equal(fit_trained$get_mean_leaves_per_tree(),
fit$get_mean_leaves_per_tree())
}
)
test_that(
desc = 'variables can be removed and added with updated formula',
code = {
expect_false("edema" %in% all.vars(fit_new$formula))
expect_false("spiders" %in% all.vars(fit_new$formula))
expect_true("spiders" %in% all.vars(fit_newer$formula))
}
)
pbc_new <- select_cols(pbc_test, all.vars(fit_new$formula))
test_that(
desc = "error handlers are updated with updated fits",
code = {
expect_error(predict(fit, new_data = pbc_new),
regexp = 'columns not contained')
expect_type(predict(fit_new, new_data = pbc_new), 'double')
}
)
test_that(
desc = 'updated forest has same tree seeds on overlap',
code = {
expect_equal(fit$tree_seeds, fit_new$tree_seeds[seq(n_tree_test)])
}
)
test_that(
desc = "dot checker catches the dots",
code = {
expect_error(orsf_update(fit, ntree = 10),
regexp = 'did you mean n_tree?')
}
)
test_that(
desc = "fit from scratch is equivalent to fit from update",
code = {
fit_vet_from_scratch <- orsf(survival::veteran,
time + status ~ .,
n_tree = n_tree_test,
tree_seeds = seeds_standard)
fit_vet_from_update <- orsf_update(fit, data = survival::veteran)
expect_equal_leaf_summary(fit_vet_from_scratch, fit_vet_from_update)
}
)
test_that(
desc = "setting a default null field to null reverts that field to the default value",
code = {
fit_control <- fit_standard_penguin_bills$custom
fit_control_null <- orsf_update(fit_control, control = NULL)
expect_equal_leaf_summary(fit_standard_penguin_bills$fast,
fit_control_null)
fit_split <- fit_standard_pbc$fast
fit_split_c <- orsf_update(fit_split, split_rule = 'cstat')
expect_true(fit_split_c$split_rule == 'cstat')
fit_revert <- orsf_update(fit_split_c, split_rule = NULL)
expect_true(fit_revert$split_rule == 'logrank')
expect_equal_leaf_summary(fit_revert, fit_split)
}
)
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