baseline                Create baseline evaluations
baseline_binomial       Create baseline evaluations for binary
                        classification
baseline_gaussian       Create baseline evaluations for regression
                        models
baseline_multinomial    Create baseline evaluations
binomial_metrics        Select metrics for binomial evaluation
combine_predictors      Generate model formulas by combining predictors
compatible.formula.terms
                        Compatible formula terms
confusion_matrix        Create a confusion matrix
cross_validate          Cross-validate regression models for model
                        selection
cross_validate_fn       Cross-validate custom model functions for model
                        selection
cvms-package            cvms: A package for cross-validating regression
                        and classification models
dynamic_font_color_settings
                        Create a list of dynamic font color settings
                        for plots
evaluate                Evaluate your model's performance
evaluate_residuals      Evaluate residuals from a regression task
font                    Create a list of font settings for plots
gaussian_metrics        Select metrics for Gaussian evaluation
model_functions         Examples of model_fn functions
most_challenging        Find the data points that were hardest to
                        predict
multiclass_probability_tibble
                        Generate a multiclass probability tibble
multinomial_metrics     Select metrics for multinomial evaluation
musicians               Musician groups
participant.scores      Participant scores
plot_confusion_matrix   Plot a confusion matrix
plot_metric_density     Density plot for a metric
precomputed.formulas    Precomputed formulas
predict_functions       Examples of predict_fn functions
predicted.musicians     Predicted musician groups
preprocess_functions    Examples of preprocess_fn functions
process_info_binomial   A set of process information object
                        constructors
reconstruct_formulas    Reconstruct model formulas from results tibbles
select_definitions      Select model definition columns
select_metrics          Select columns with evaluation metrics and
                        model definitions
simplify_formula        Simplify formula with inline functions
sum_tile_settings       Create a list of settings for the sum tiles in
                        plot_confusion_matrix()
summarize_metrics       Summarize metrics with common descriptors
update_hyperparameters
                        Check and update hyperparameters
validate                Validate regression models on a test set
validate_fn             Validate a custom model function on a test set
wines                   Wine varieties
