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.


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install.packages("traineR")

1.0.0 by Oldemar Rodriguez R., 2 months ago


http://www.promidat.com


Browse source code at https://github.com/cran/traineR


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