Nothing
test_that("release model card records selection uncertainty and transportability", {
fixture <- roadmap_fixture(seed = 1701L, n_participants = 15L, repeats = 1L)
evaluation <- evaluate_gazepoint_group_folds(
fixture$folds, fixture$task, fixture$predictors, "glm", seed = 1701L
)
grid <- create_gazepoint_tuning_grid(
"glm",
thresholds = c(0.45, 0.55),
complexity = c(1, 2),
interpretability = "high"
)
tuned <- tune_gazepoint_model(
fixture$folds, fixture$task, grid, fixture$predictors, seed = 1701L
)
selection <- select_gazepoint_model(
tuned,
"brier",
"minimize",
rationale = "Predeclared calibration-sensitive primary metric."
)
model <- fit_gazepoint_model(
fixture$data, fixture$task, fixture$predictors, "glm", seed = 1701L
)
uncertainty <- summarize_gazepoint_resample_uncertainty(evaluation)
transportability <- evaluate_gazepoint_external_transportability(
model,
fixture$data,
external_data = NULL
)
card <- create_gazepoint_release_model_card(
model,
intended_use = "Support manual review of predefined recording-quality status.",
evaluation = evaluation,
selection = selection,
uncertainty = uncertainty,
feature_manifest = fixture$manifest,
transportability = transportability,
limitations = c(
"Synthetic demonstration only.",
"No claim beyond the declared generalization target."
)
)
expect_s3_class(card, "gp3ml_release_model_card")
expect_true(card$selection_procedure_recorded)
expect_identical(card$uncertainty_unit, "fold")
expect_identical(card$external_validation_status, "not_externally_validated")
output <- tempfile(fileext = ".md")
write_gazepoint_release_model_card(card, output)
text <- paste(readLines(output, warn = FALSE), collapse = "\n")
expect_match(text, "Model-selection procedure")
expect_match(text, "Target-aligned uncertainty")
expect_match(text, "not_externally_validated")
unlink(output)
})
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