fitEnsembleModel: fitEnsembleModel Train a single subtype model using cross...

In CRI-iAtlas/ImmuneSubtypeClassifier: An R package for classification of immune subtypes, in cancer, using gene expression data.

fitEnsembleModel Train a single subtype model using cross validation

Description

fitEnsembleModel Train a single subtype model using cross validation

Usage

fitEnsembleModel(Xs, Ys, n = 5, sampSize = 0.7, breakVec = c(0, 0.25,
  0.5, 0.75, 1), params = list(max_depth = 5, eta = 0.5, nrounds = 100,
  nthread = 5, nfold = 5), ptail = 0.01, numCores = 2)

Arguments

Xs	Gene expression matrix, samples in columns, genes in rows
Ys	Phenotype vector, multiclass
n	Size of the ensember, where each member is a result from fitSubtypeModel
sampSize	proportion of samples to hold back
params	Parameters for xgboost
numCores	number of cores to use, one per ensemble member
dtype	the data type, either continuous values or binary values.
breakvec	the vector of break points if using continuous values

Value

A list of lists of xgboost classifiers

Examples

mods <- fitEnsembleModel(Xs, Ys, n, sampSize, dtype, breakVec, params)

CRI-iAtlas/ImmuneSubtypeClassifier documentation built on Oct. 1, 2022, 10:50 a.m.