Fast Machine Learning Model Training and Evaluation


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Documentation for package ‘fastml’ version 0.7.0

Help Pages

availableMethods Get Available Methods
counterfactual_explain Generate counterfactual explanations for a fastml model
evaluate_models Evaluate Models Function
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
fastexplain Explain a fastml model using various techniques
fastexplore Explore and Summarize a Dataset Quickly
fastml Fast Machine Learning Function
fastml_normalize_survival_status Internal helpers for survival-specific preprocessing
flatten_and_rename_models Flatten and Rename Models
framingham Framingham Heart Study Data
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_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
interaction_strength Compute feature interaction strengths for a fastml model
load_model Load Model Function
plot.fastml Plot Methods for 'fastml' 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
process_model Process and Evaluate a Model Workflow
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