BaseLearner.Fit-methods {EnsembleBase}

Generic S4 Method for Fitting Base Learners

Description

Each base learner must provide its concrete implementation of this generic method.

Usage

BaseLearner.Fit(object, formula, data, tmpfile=NULL, print.level=1, ...)

Arguments

object

An object of class BaseLearner.Config (must be a concrete implementation such as KNN.Regression.Config).

formula

Formula object expressing response and covariates.

data

Data frame containing response and covariates.

tmpfile

Filepath to save the estimation object to. If NULL, estimation object will not be saved to a file.

print.level

Controlling verbosity level during fitting.

...

Arguments to be passed to/from other methods.

Methods

signature(object = "GBM.Regression.Config")

signature(object = "KNN.Regression.Config")

signature(object = "NNET.Regression.Config")

signature(object = "RF.Regression.Config")

signature(object = "SVM.Regression.Config")

signature(object = "PENREG.Regression.Config")

signature(object = "BART.Regression.Config")