get_supported_models: Supported models and their hyperparameters

Description Usage Value See Also

View source: R/models.R

Description

Random Forest: "rf". Regression and classification. Implemented via ranger.

XGBoost: "xgb". eXtreme Gradient Boosting Implemented via xgboost. Note that XGB has many more hyperparameters than the other models. Because of this, it may require greater tune_depth to optimize performance.

Regularized regression: "glm". Regression and classification. Implemented via glmnet.

Usage

1

Value

Vector of currently-supported algorithms.

See Also

hyperparameters for more detail on hyperparameter defaults and specifications


healthcareai documentation built on Sept. 2, 2018, 1:03 a.m.