more.mpTune: tune more models

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

Description

tune more models using the same resampling setting and performance metric for fair comparison

Usage

## S3 method for class 'mpTune'
more(obj, x = obj$data[[1]], y = obj$data[[2]],
  weights = obj$data$weights, models, ...,
  gridLength = obj$config$gridLength[seq_along(models)],
  randomizedLength = obj$config$randomizedLength[seq_along(models)])

Arguments

obj	A 'mpTune' object
x	A design matrix or a formula
y	A response vector or a data.frame, which must be consistent with x
weights	Sample weigth
models	A vector of names from models in models.RData
...	Other arguments (expect 'mpTnControl') passed to 'mpTune'
gridLength	Grid length if using grid search for hyper-parameters (tuning parameters)
randomizedLength	Number of hyper-parameter configuration if randomizedSearch is available for models

Value

A 'mpTune' object with more models

See Also

See mpTune for examples

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