Fast Machine Learning Model Training and Evaluation

Documentation for package ‘fastml’ version 0.6.2

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 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)
train_models	Train Specified Machine Learning Algorithms on the Training Data