skip_if_not_installed("keras")
test_that("silent", {
expect_silent({fit <- dnnsurv(Surv(time, status) ~ ., data = rats[1:50, ], verbose = FALSE,
validation_split = 0.3)})
expect_silent({predict(fit, newdata = rats[51:100, ])})
})
test_that("errors", {
expect_error(dnnsurv(Surv(time, status) ~ ., data = rats[1:50, ], cuts = NULL, cutpoints = NULL),
"One of")
})
test_that("custom", {
expect_silent(dnnsurv(Surv(time, status) ~ ., data = rats[1:10, 1:4], verbose = FALSE,
cuts = 3,
custom_model = build_keras_net(5L, 1L)))
})
test_that("early stopping", {
expect_silent(dnnsurv(Surv(time, status) ~ ., data = rats[1:10, 1:4], verbose = FALSE,
early_stopping = TRUE, validation_split = 0.3))
})
fit <- dnnsurv(Surv(time, status) ~ ., data = rats[1:50, ], verbose = FALSE,
cuts = 5)
test_that("predict", {
p <- predict(fit, type = "all", distr6 = FALSE)
expect_is(p, "list")
expect_is(p$surv, "matrix")
expect_is(p$risk, "numeric")
expect_equal(length(p$risk), 50)
expect_equal(dim(p$surv), c(50, 5))
})
test_that("predict distr6", {
if (!requireNamespace("distr6", quietly = TRUE)) {
skip("distr6 not installed.")
}
p <- predict(fit, type = "all", distr6 = TRUE)
expect_is(p, "list")
expect_is(p$surv, "Matdist")
expect_equal(nrow(distr6::gprm(p$surv, "cdf")), 50)
p <- predict(fit, type = "survival")
expect_is(p, "matrix")
})
test_that("auto sanity", {
sanity_check(
model = "dnnsurv",
pars = list(epochs = 100L, validation_split = 0.3)
)
})
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