BaseLearner.Batch.FitObj-class: Classes '"BaseLearner.Batch.FitObj"' and...

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

Description

Classes for containing base learner batch training output.

Objects from the Class

Class "BaseLearner.Batch.FitObj" is virtual; therefore No objects may be created from it. Class "Regression.Batch.FitObj" extends "BaseLearner.Batch.FitObj" and is the output of function Regression.Batch.Fit.

Slots

fitobj.list:

Object of class "list", containing the BaseLearner.FitObj outputs of lower-level BaseLearner.Fit function calls.

config.list:

Object of class "list", containing the list of configuration objects for each base learner fit. This list is typically the output of make.configs function call.

filemethod:

Object of class "logical", indicating whether file method is used for storing the estimation objects.

tmpfiles:

Object of class "OptionalCharacter", containing (if applicable) the vector of filepaths used for storing estimation objects, if filemethod==TRUE.

For Regression.Batch.FitObj (in addition to above slots):

pred:

Object of class "matrix", with each column containing the predictions of one base learner.

y:

Object of class "numeric", containing the response variable corresponding to the training set.

Methods

No methods defined with class "BaseLearner.Batch.FitObj" in the signature.

Author(s)

Alireza S. Mahani, Mansour T.A. Sharabiani

See Also

Regression.Batch.Fit

Examples

showClass("BaseLearner.Batch.FitObj")

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