mpTuneControl: Generate mpTnControl for mpTune

In linxihui/lazyML: Automatic machine learning algorithms and hyper-parameters selection

Description

Generate mpTnControl for mpTune

Usage

mpTuneControl(samplingFunction = createCVFolds, ..., sampleIndex = NULL,
  problemType = NA, classProbs = TRUE, preProcess = NULL,
  summaryFunction = defaultSummary, returnData = TRUE,
  allowParallel = TRUE)

Arguments

samplingFunction	A function to takes x, y as input and generate a list of training indices of cases (rows in x)
...	Other argument to be passed to samplingFunction
sampleIndex	A list of training indices. If given, will be used directly and samplingFunction will be ignored
problemType	'classification', 'regression' or 'survival'. Default to be automatically determined. Currently not effective any way
classProbs	Should class probabilities be returned in prediction
preProcess	A caret preProcess function
summaryFunction	summary function for model performance. See caret;;defaultSummary for detail of how to customize. Default to defaultSummary which automatically guess problemType from input and determine what to return
returnData	Should data be saved in the mpTune output
allowParallel	Should models be tuned in parallel

Value

A list ready for mpTnControl in mpTune.

linxihui/lazyML documentation built on May 21, 2019, 6:39 a.m.