Fast Machine Learning Model Training and Evaluation

Documentation for package ‘fastml’ version 0.6.1

availableMethods	Get Available Methods
evaluate_models	Evaluate Models Function
fastexplain	FastExplain the fastml (DALEX + SHAP + Permutation-based VI)
fastexplore	Explore and Summarize a Dataset Quickly
fastml	Fast Machine Learning Function
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
load_model	Load Model Function
plot.fastml	Plot Methods for 'fastml' Objects
predict.fastml	Predict method for fastml objects
process_model	Process Model and Compute Performance Metrics
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)
train_models	Train Specified Machine Learning Algorithms on the Training Data