Guarded Resampling Workflows for Safe and Automated Machine Learning in R

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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