test_that("multistep_horizon monthly data", {
# Mock data setup
data <- timetk::m4_monthly %>%
dplyr::mutate(id = as.character(id)) %>%
dplyr::rename(Date = date) %>%
dplyr::filter(
id == "M2",
Date >= "2012-01-01"
)
run_info <- set_run_info()
# prep data and models
prep_data(
run_info = run_info,
input_data = data,
combo_variables = c("id"),
target_variable = "value",
date_type = "month",
forecast_horizon = 2,
recipes_to_run = "R1",
multistep_horizon = TRUE
)
prep_models(
run_info = run_info,
back_test_scenarios = 2,
models_to_run = "cubist",
run_ensemble_models = FALSE,
num_hyperparameters = 1,
pca = TRUE
)
# train models
train_models(run_info = run_info)
# pull trained model
workflow_tbl <- get_trained_models(run_info = run_info) %>%
dplyr::select(Model_Fit)
model_length <- length(workflow_tbl$Model_Fit[[1]]$fit$fit$fit$models)
# Assertions
expect_equal(model_length, 2)
})
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