tune.instructions: Model Optimization Instructions

In OmicsMarkeR: Classification and Feature Selection for 'Omics' Datasets

Description

Provides directions for which parameters to loop over during tuning. This becomes important when certain models can access 'lower' parameters without running them independently.

Usage

tune.instructions(method, grid)

Arguments

method	Vector of strings indicating which models will be fit
grid	A list of parameters grids to be applied to the models

Value

modelInfo

List of the following components

.

• scheme: String dictating which looping scheme to apply

• loop: Dataframe of parameters to loop through for each model

• model: Information regarding parameters of specific model

• constant: Names of the 'loop' dataframe components

• vary: Indication of parameters that vary and can access recursively

Author(s)

Charles E. Determan Jr.

OmicsMarkeR documentation built on April 28, 2020, 6:54 p.m.