modelTuner: Model Tuner

Description Usage Arguments Value Author(s)

Description

Optimizes each model based upon the parameters provided either by the internal denovo.grid function or by the user.

Usage

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modelTuner(trainData, guide, method, inTrain, outTrain, lev,
  savePredictions = FALSE, allowParallel = FALSE, verbose = "none",
  theDots = NULL)

Arguments

trainData

Data used to fit the model

guide

Output from tune.instructions. Facilitates the optimization by avoiding redundant model fitting.

method

Vector of strins listing models to be fit

inTrain

Indicies for cross-validated training models

outTrain

Indicies for cross-validated testing models

lev

Group levels

savePredictions

Logical argument dictating if should save the prediction data. Default savePredictions = FALSE

allowParallel

Logical argument dictating if parallel processing is allowed via foreach package

verbose

Character argument specifying how much output progress to print. Options are 'none', 'minimal' or 'full'.

theDots

List of additional arguments provided in the initial classification and features selection function

Value

Returns list of fitted models

Author(s)

Charles E. Determan Jr.


cdeterman/OmicsMarkeR documentation built on May 13, 2019, 2:35 p.m.