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
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
