Guarded Resampling Workflows for Safe and Automated Machine Learning in R

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Documentation for package ‘fastml’ version 0.7.7

• 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
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