PROMiDAT/trainR: Predictive Models Homologator

Methods to unify the different ways of creating predictive models and their different predictive formats. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.

Getting started

Package details

Maintainer
LicenseGPL (>=2)
Version1.0.0
URL http://www.promidat.com
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("PROMiDAT/trainR")
PROMiDAT/trainR documentation built on Oct. 30, 2019, 10:26 p.m.