denovo.grid: Denovo Grid Generation

In cdeterman/HGTools: HG Tools

Description

Greates grid for optimizing selected models

Usage

denovo.grid(method, res, data, dvs = NULL)

Arguments

method	vector indicating the models to generate grids. Available options are "neuralnet" (Neural Network), "rf" (Random Forest), "gbm" (Gradient Boosting Machine), "svm" (Support Vector Machines), and "glmnet" (Elastic-net Generalized Linear Model)
res	Resolution of model optimization grid.
data	data of method to be tuned
dvs	character vector identifying the dependent variables in the dataset

Value

A list containing dataframes of all combinations of parameters for each model:

Author(s)

Charles Determan Jr

See Also

"expand.grid" for generating grids of specific parameters desired. However, NOTE that you must still use the same arguments names prefixed with a '.'.

cdeterman/HGTools documentation built on May 13, 2019, 2:34 p.m.