nonet
Weighted Average Ensemble without Training Labels
v0.4.0
·
Jan 15, 2019
·
MIT + file LICENSE
Description
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.
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CRAN Check Status
2
NOTE
12
OK
Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check details (2 non-OK)
NOTE
r-devel-linux-x86_64-fedora-clang
dependencies in R code
Namespaces in Imports field not imported from: ‘dplyr’ ‘e1071’ ‘pROC’ ‘purrr’ ‘randomForest’ ‘rlang’ All declared Imports should be used.
NOTE
r-devel-linux-x86_64-fedora-gcc
dependencies in R code
Namespaces in Imports field not imported from: ‘dplyr’ ‘e1071’ ‘pROC’ ‘purrr’ ‘randomForest’ ‘rlang’ All declared Imports should be used.
Check History
NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE
r-devel-linux-x86_64-fedora-clang
dependencies in R code
Namespaces in Imports field not imported from: ‘dplyr’ ‘e1071’ ‘pROC’ ‘purrr’ ‘randomForest’ ‘rlang’ All declared Imports should be used.
NOTE
r-devel-linux-x86_64-fedora-gcc
dependencies in R code
Namespaces in Imports field not imported from: ‘dplyr’ ‘e1071’ ‘pROC’ ‘purrr’ ‘randomForest’ ‘rlang’ All declared Imports should be used.