library(mlr3learners.proba)
test_that("surv.dnn compile", {
learner = lrn("surv.dnn")
fun = keras:::compile.keras.engine.training.Model
exclude = c(
"object", # handled internally
"loss", # handled internally
"metrics", # handled internally
"sample_weight_mode", # unused
"target_tensors" # unused
)
ParamTest = run_paramtest(learner, fun, exclude)
expect_true(ParamTest, info = paste0("\nMissing parameters:\n",
paste0("- '", ParamTest$missing, "'", collapse = "\n")))
})
test_that("surv.dnn get_optimizer", {
learner = lrn("surv.dnn")
fun = get_optimizer
exclude = c(
)
ParamTest = run_paramtest(learner, fun, exclude)
expect_true(ParamTest, info = paste0("\nMissing parameters:\n",
paste0("- '", ParamTest$missing, "'", collapse = "\n")))
})
test_that("surv.dnn callback_early_stopping", {
learner = lrn("surv.dnn")
fun = keras::callback_early_stopping
exclude = c(
"monitor", # handled internally
"mode" # handled internally
)
ParamTest = run_paramtest(learner, fun, exclude)
expect_true(ParamTest, info = paste0("\nMissing parameters:\n",
paste0("- '", ParamTest$missing, "'", collapse = "\n")))
})
test_that("surv.dnn fit", {
learner = lrn("surv.dnn")
fun = keras:::fit.keras.engine.training.Model
exclude = c(
"object", # handled internally
"x", # handled internally
"y", # handled internally
"view_metrics", # handled internally
"validation_data" # handled internally
)
ParamTest = run_paramtest(learner, fun, exclude)
expect_true(ParamTest, info = paste0("\nMissing parameters:\n",
paste0("- '", ParamTest$missing, "'", collapse = "\n")))
})
test_that("surv.dnn predict", {
learner = lrn("surv.dnn")
fun = keras:::predict.keras.engine.training.Model
exclude = c(
"object", # handled internally
"x" # handled internally
)
ParamTest = run_paramtest(learner, fun, exclude)
expect_true(ParamTest, info = paste0("\nMissing parameters:\n",
paste0("- '", ParamTest$missing, "'", collapse = "\n")))
})
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