Learn R Programming
⚠️There's a newer version (3.4.8) of this package.Take me there.

Modeler (version 3.4.5)

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.

Copy Link

Version

Install

install.packages('Modeler')

Monthly Downloads

445

Version

3.4.5

License

Apache License (== 2.0)

Maintainer

Kevin Coombes

Last Published

May 6th, 2019

Functions in Modeler (3.4.5)

FittedModel-class

Class "FittedModel"
FittedModel

Creating FittedModel objects
learnLR

Fit models and make predictions with a logistic regression classifier
learnNNET

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
Modeler-class

Class "Modeler"
Modeler

Constructor for "Modeler" objects
learnNNET2

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

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

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

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

Learning models from data
feature.filters

Feature Filtering
learnCCP

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

Fit models and make predictions with a KNN classifier
learnTailRank

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

Feature Selection