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

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

Description

Classes for containing base learner CV training output.

Objects from the Class

"BaseLearner.CV.FitObj" is a virtual class: No objects may be created from it. "Regression.CV.FitObj" is the output of Regression.CV.Fit function.

Slots

fitobj.list:

Object of class "list", contains a list of objects of class BaseLearner.Fit, one per partition fold.

partition:

Object of class "OptionalInteger", representing how data must be split across folds during cross-validation. This is typically the output of generate.partition function.

filemethod:

Object of class "logical", determining whether to save individual estimation objects to file or not.

In addition, Regression.CV.FitObj contains the following slot:

pred

Object of class "OptionalNumeric", containing the prediction from the CV fit object for training data. This slot is allowed to take on a "NULL" value to reduce excess memory use by large ensemble models.

Methods

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

Author(s)

Alireza S. Mahani, Mansour T.A. Sharabiani

See Also

Regression.CV.Fit

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