tests/testthat/test-plot_confusion_matrix.R

In familiar: End-to-End Automated Machine Learning and Model Evaluation

# Don't perform any further tests on CRAN due to time of running the complete
# test.
testthat::skip_on_cran()
testthat::skip_on_ci()

debug_flag <- FALSE

# Generic test. Note that confusion matrices can be created if only one sample
# is present.
familiar:::test_plots(
  plot_function = familiar:::plot_confusion_matrix,
  not_available_all_prospective = TRUE,
  data_element = "confusion_matrix",
  outcome_type_available = c("binomial", "multinomial"),
  debug = debug_flag
)

# Test confusion matrix without transparent cells.
familiar:::test_plots(
  plot_function = familiar:::plot_confusion_matrix,
  data_element = "confusion_matrix",
  outcome_type_available = c("binomial", "multinomial"),
  test_specific_config = TRUE,
  plot_args = list("show_alpha" = "none"),
  debug = debug_flag
)

# Test by confusion matrix with transparency by class.
familiar:::test_plots(
  plot_function = familiar:::plot_confusion_matrix,
  data_element = "confusion_matrix",
  outcome_type_available = c("binomial", "multinomial"),
  test_specific_config = TRUE,
  plot_args = list("show_alpha" = "by_class"),
  debug = debug_flag
)

# Test by confusion matrix with transparency by the entire plot.
familiar:::test_plots(
  plot_function = familiar:::plot_confusion_matrix,
  data_element = "confusion_matrix",
  outcome_type_available = c("binomial", "multinomial"),
  test_specific_config = TRUE,
  plot_args = list("show_alpha" = "by_figure"),
  debug = debug_flag
)

# Test by confusion matrix with transparency by the entire plot.
familiar:::test_plots(
  plot_function = familiar:::plot_confusion_matrix,
  data_element = "confusion_matrix",
  outcome_type_available = c("binomial", "multinomial"),
  test_specific_config = TRUE,
  plot_args = list("show_alpha" = "by_all"),
  debug = debug_flag
)

# Test alignment of different plots, with missing data.
familiar:::test_plot_ordering(
  plot_function = familiar:::plot_confusion_matrix,
  data_element = "confusion_matrix",
  outcome_type_available = c("binomial", "multinomial"),
  debug = debug_flag
)

# Test alignment of different plots, with missing data.
familiar:::test_plot_ordering(
  plot_function = familiar:::plot_confusion_matrix,
  data_element = "confusion_matrix",
  outcome_type_available = c("binomial", "multinomial"),
  plot_args = list("facet_by" = c("data_set", "learner", "fs_method")),
  debug = debug_flag
)