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Modeler (version 3.4.8)

Classes and Methods for Training and Using Binary Prediction Models

Description

Defines classes and methods to learn models and use them to predict binary outcomes. These are generic tools, but we also include specific examples for many common classifiers.

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Version

Install

install.packages('Modeler')

Monthly Downloads

445

Version

3.4.8

License

Apache License (== 2.0)

Maintainer

Kevin Coombes

Last Published

April 7th, 2025

Functions in Modeler (3.4.8)

learnTailRank

Fit models and make predictions with a PCA-LR classifier
learnSVM

Fit models and make predictions with a PCA-LR classifier
learnRF

Fit models and make predictions with a PCA-LR classifier
learnRPART

Fit models and make predictions with a PCA-LR classifier
learnSelectedLR

Fit models and make predictions with a PCA-LR classifier
feature.selection

Feature Selection
learnNNET2

Fit models and make predictions with a multi-level neural network classifier
learnPCALR

Fit models and make predictions with a PCA-LR classifier
Modeler-class

Class "Modeler"
feature.filters

Feature Filtering
FittedModel-class

Class "FittedModel"
FittedModel

Creating FittedModel objects
learnLR

Fit models and make predictions with a logistic regression classifier
Modeler

Constructor for "Modeler" objects
learnKNN

Fit models and make predictions with a KNN classifier
learnNNET

Fit models and make predictions with a PCA-LR classifier
learnCCP

Fit models and make predictions with a PCA-LR classifier
learn

Learning models from data