availableMethods        Get Available Methods
counterfactual_explain
                        Generate counterfactual explanations for a
                        fastml model
defaults_registry       Defaults Registry for Engine and Parameter
                        Transparency
estimate_tuning_time    Estimate Tuning Time
explain_ale             Compute Accumulated Local Effects (ALE) for a
                        fastml model
explain_dalex           Generate DALEX explanations for a fastml model
explain_lime            Generate LIME explanations for a fastml model
explain_stability       Analyze Feature Importance Stability Across
                        Cross-Validation Folds
fastexplain             Explain a fastml model using various techniques
fastexplore             Lightweight exploratory helper
fastml                  Fast Machine Learning Function
fastml_compute_holdout_results
                        Evaluate Models Function
fastml_guard_validate_indices
                        Guarded Resampling Utilities
fastml_normalize_survival_status
                        Internal helpers for survival-specific
                        preprocessing
flatten_and_rename_models
                        Flatten and Rename Models
get_best_model_idx      Get Best Model Indices by Metric and Group
get_best_model_names    Get Best Model Names
get_best_workflows      Get Best Workflows
get_default_differences
                        Get All Default Differences Summary
get_default_engine      Get Default Engine
get_default_params      Get Default Parameters for an Algorithm
get_default_tune_params
                        Get Default Tuning Parameters
get_engine_names        Get Engine Names from Model Workflows
get_model_engine_names
                        Get Model Engine Names
get_tuning_complexity   Tuning Complexity Presets
get_tuning_params_for_complexity
                        Get Tuning Parameters for Complexity Level
interaction_strength    Compute feature interaction strengths for a
                        fastml model
load_model              Load Model Function
plot.fastml             Plot Methods for 'fastml' Objects
plot.fastml_stability   Plot method for fastml_stability objects
plot_ice                Plot ICE curves for a fastml model
predict.fastml          Predict method for fastml objects
predict_survival        Predict survival probabilities from a survival
                        model
print.fastml_stability
                        Print method for fastml_stability objects
print_default_differences
                        Print Default Differences Table
print_tuning_presets    Print Tuning Presets Summary
process_model           Process and Evaluate a Model Workflow
recommend_tuning_config
                        Recommend Tuning Configuration
reset_default_warnings
                        Reset Default Override Warnings
sanitize                Clean Column Names or Character Vectors by
                        Removing Special Characters
save.fastml             Save Model Function (Deprecated)
save_fastml             Save Model Function
summary.fastml          Summary Function for fastml (Using yardstick
                        for ROC Curves)
surrogate_tree          Fit a surrogate decision tree for a fastml
                        model
train_models            Train Specified Machine Learning Algorithms on
                        the Training Data
tuning_config           Tuning Configuration and Complexity Presets
validate_defaults_registry
                        Validate Defaults Registry Against Parsnip
warn_default_override   Warn About Default Overrides
