CRAN/E | nonet

nonet

Weighted Average Ensemble without Training Labels

Installation

About

It provides ensemble capabilities to supervised and unsupervised learning models predictions without using training labels. It decides the relative weights of the different models predictions by using best models predictions as response variable and rest of the mo. User can decide the best model, therefore, It provides freedom to user to ensemble models based on their design solutions.

open.gslab.com/nonet/
Bug report File report

Key Metrics

Version 0.4.0
R ≥ 3.5.0
Published 2019-01-15 1934 days ago
Needs compilation? no
License MIT
License File
CRAN checks nonet results

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Maintainer

Maintainer

Aviral Vijay

aviral.vijay@gslab.com

Authors

Aviral Vijay

aut / cre

Sameer Mahajan

aut

Material

README
Reference manual
Package source

Vignettes

nonet ensemble classification with nonet plot
nonet ensemble Clustering with nonet plot
nonet ensemble regression with nonet plot

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

nonet archive

Depends

R ≥ 3.5.0

Imports

caret ≥ 6.0.78
dplyr
randomForest
ggplot2
rlist ≥0.4.6.1
glmnet
tidyverse
e1071
purrr
pROC ≥ 1.13.0
rlang ≥ 0.2.1

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