BaseLearner.Fit-methods: Generic S4 Method for Fitting Base Learners

In EnsembleBase: Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling

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")

EnsembleBase documentation built on May 2, 2019, 2:10 p.m.