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.


Reference manual

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1.0.1 by Oldemar Rodriguez R., 4 months ago

Browse source code at

Authors: Oldemar Rodriguez R. [aut, cre] , Andres Navarro D. [ctb, prg]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports neuralnet, rpart, xgboost, randomForest, e1071, kknn, dplyr, ada, nnet, dummies, stringr

Suggests knitr, rmarkdown, rpart.plot

See at CRAN