Fast Machine Learning Model Training and Evaluation
Get Available Methods
Evaluate Models Function
FastExplain the fastml (DALEX + SHAP + Permutation-based VI)
Explore and Summarize a Dataset Quickly
Fast Machine Learning Function
Flatten and Rename Models
Get Best Model Indices by Metric and Group
Get Best Model Names
Get Best Workflows
Get Default Engine
Get Default Parameters for an Algorithm
Get Default Tuning Parameters
Get Engine Names from Model Workflows
Get Model Engine Names
Load Model Function
Plot Methods for fastml Objects
Predict method for fastml objects
Process and Evaluate a Model Workflow
Clean Column Names or Character Vectors by Removing Special Characters
Save Model Function
Summary Function for fastml (Using yardstick for ROC Curves)
Train Specified Machine Learning Algorithms on the Training Data
Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.