Nothing
test_that("train_full_model runs successfully and returns expected structure", {
# Skip test if required data files are not available
skip_if_not(file.exists(system.file("extdata", "go_emotions_train_text_processed.csv", package = "text2emotion")))
skip_if_not(file.exists(system.file("extdata", "go_emotions_test_text_processed.csv", package = "text2emotion")))
skip_if_not(file.exists(system.file("extdata", "go_emotions_train_label.csv", package = "text2emotion")))
skip_if_not(file.exists(system.file("extdata", "go_emotions_test_label.csv", package = "text2emotion")))
skip_if_not(file.exists(system.file("extdata", "final_stopwords.rds", package = "text2emotion")))
# Run training (suppress verbose printing)
result <- train_full_model(
mtry_grid = c(2), # small grid to make test fast
ntree_grid = c(10) # small grid to make test fast
)
# Check return type
expect_type(result, "list")
# Check list contents
expect_true(all(c("tfidf_model", "vectorizer", "rf_model", "test_accuracy", "macro_f1", "confusion") %in% names(result)))
# Clean up any generated model files
unlink("train_df_cached.rds")
unlink("trained_tfidf_model.rds")
unlink("trained_vectorizer.rds")
unlink("trained_rf_ranger_model.rds")
})
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