nonet is a unified solution for weighted average ensemble in supervised and unsupervised learning environment. It is a novel approach to provide weighted average ensembled predictions without using labels from outcome or response variable for weight computation. In a nutshell, nonet can be used in two scenarios:

Getting Started:

one of the best way to start with this project is, have a look at vignettes. Vignettes provides clear idea about how nonet can contribute to ensemble different models all together.

nonet also available on Github Page


This package can be downloaded from github using devtools:

nonet uses below mentioned R version & packages:-


Used packages:


nonet welcomes you to contribute and suggest the improvement. Kindly raise the pull request for enhancement and raise the issue if you find any bugs.

for more details and support, one can reach out to us: