setup.cv.resample: 'setup.cv.resample': resample defaults for cross-validation

In egenn/rtemis: Machine Learning and Visualization

setup.cv.resample: resample defaults for cross-validation

Description

setup.cv.resample: resample defaults for cross-validation

Usage

setup.cv.resample(
  resampler = "strat.sub",
  n.resamples = 10,
  stratify.var = NULL,
  train.p = 0.8,
  strat.n.bins = 4,
  target.length = NULL,
  id.strat = NULL,
  verbosity = 1
)

Arguments

resampler	Character: Type of resampling to perform: "bootstrap", "kfold", "strat.boot", "strat.sub".
n.resamples	Integer: Number of training/testing sets required
stratify.var	Numeric vector (optional): Variable used for stratification.
train.p	Float (0, 1): Fraction of cases to assign to traininig set for resampler = "strat.sub"
strat.n.bins	Integer: Number of groups to use for stratification for resampler = "strat.sub" / "strat.boot"
target.length	Integer: Number of cases for training set for resampler = "strat.boot".
id.strat	Vector of IDs which may be replicated: resampling should force replicates of each ID to only appear in the training or testing.
verbosity	Logical: If TRUE, print messages to console

egenn/rtemis documentation built on Oct. 28, 2024, 6:30 a.m.