fit: fit the best model according to 'mpTune'

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

Description

fit the best model according to mpTune

Usage

fit(obj, ...)

## S3 method for class 'mpTune.formula'
fit(obj, formula = obj$data$formula,
  data = obj$data$data, ...)

## S3 method for class 'mpTune'
fit(obj, x = obj$data$x, y = obj$data$y,
  weights = obj$data$weights, model = 1, ...)

Arguments

obj	A mpTune object returned from a call to mpTune
...	Further arguments to be passed to summary.mpTune
formula	Model formula if not in obj
data	Ata if not in obj
x	Design matrix if not in obj
y	Response vector if not in obj
weights	Sample weights if not in obj
model	An interger or model name indicating which model to fit. Default to 1, the best model

Value

A 'bestMpTuneModel' or 'bestMpTuneModel.formula' object with entries:

• fitmodel fit

• preProc

• modelName

• modelInfoa list of models fitting, predict information, as from caret

• selectionMetricthe performace matric used to select the best model

• mpTunePerformanceperformance of best model in the mpTune object

See Also

See mpTune for examples

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