R: Guarded Resampling Workflows for Safe and Automated Machine Learning in R

# Guarded Resampling Workflows for Safe and Automated Machine Learning in R

## Documentation for package ‘fastml’ version 0.7.8

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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
predict_survival.default | Predict survival probabilities from a survival model
predict_survival.fastml_native_survival | Predict survival probabilities from a survival model
predict_survival.workflow | 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