### Intro ----------------------------------------------------------------------
apple <- tsRNN::ts_apple
### Check successful -----------------------------------------------------------
expect_equivalent(
baselines(apple, test_size = NULL, acc_measure = "MAE"),
list(
fc_naive = c(1526.4020990991, 4100.125),
fc_snaive = c(1030.41442592593, 2025.375),
fc_mean = c(5436.21973469388, 12091.9524285714),
fc_ses = c(1312.16683455669, 3761.18603739016),
fc_holt = c(1376.71452624072, 3626.45927344563)
)
)
output <- baselines(apple, test_size = NULL, acc_measure = c("MAE", "ACF1"))
expect_equivalent(
output$fc_snaive,
structure(list(
MAE = c(1030.41442592593, 2025.375),
ACF1 = c(0.750972255655298, -0.180061537209642)
), class = "data.frame", row.names = c("Training set", "Test set"))
)
expect_equivalent(
output$fc_holt,
structure(list(
MAE = c(1376.71452624072, 3626.45927344563),
ACF1 = c(0.0987116209006875, -0.182995418018833)
), class = "data.frame", row.names = c("Training set", "Test set"))
)
### Error ----------------------------------------------------------------------
# Wrong Classes
expect_error(
baselines(TRUE),
class = "baselines_data_error",
pattern = "^`data` must be ts, not of class \"logical\"\\.$"
)
expect_error(
baselines(apple, test_size = TRUE),
class = "baselines_test_size_error",
pattern = "^`test_size` must be numeric or integer, not of class \"logical\"\\.$"
)
expect_error(
baselines(apple, acc_measure = TRUE),
class = "baselines_acc_measure_error",
pattern = "^`acc_measure` must be character, not of class \"logical\"\\.$"
)
# Wrong data types
expect_error(
baselines(apple, test_size = c(1, 2), acc_measure = "MAE"),
class = "baselines_test_size_error",
pattern = "^`test_size` must be a vector of length 1\\.$"
)
expect_error(
baselines(apple, test_size = -1),
class = "baselines_test_size_error",
pattern = "`test_size` must be NULL or a positive numeric, not \"-1\"\\.$"
)
expect_error(
baselines(apple, acc_measure = ""),
class = "baselines_acc_measure_error",
pattern = "^`acc_measure` must be one of.*$"
)
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