trainTest: Separate featureMatrix into Train and Test sets

In ShaoxunLiu/proteinStructureBoost: Generate Boosting Model for Structured Protein

Description

This function takes the data.frame generated from featureMatrix and separates the data.frame in two Train and Test sets for cross-validation.

Usage

trainTest(
  featureMatrix,
  positive.label = 1,
  negative.label = 0,
  testFold = 5,
  labelAsFactor = TRUE
)

Arguments

featureMatrix	The data.frame that featureMatrix function outputs.
positive.label	The positive label used in featureMatrix function.
negative.label	The negative label used in featureMatrix function.
testFold	Portion of data.frame to be used as Test set.
labelAsFactor	Set the column of Label into factors.

Value

A list containing the Train and Test sets. no.Aug attribute contains the number of base and augmented sample in each group.

ShaoxunLiu/proteinStructureBoost documentation built on Dec. 18, 2021, 1:05 p.m.