Package: nonet 0.4.0
nonet: Weighted Average Ensemble without Training Labels
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.
Authors:
nonet_0.4.0.tar.gz
nonet_0.4.0.zip(r-4.5)nonet_0.4.0.zip(r-4.4)nonet_0.4.0.zip(r-4.3)
nonet_0.4.0.tgz(r-4.4-any)nonet_0.4.0.tgz(r-4.3-any)
nonet_0.4.0.tar.gz(r-4.5-noble)nonet_0.4.0.tar.gz(r-4.4-noble)
nonet_0.4.0.tgz(r-4.4-emscripten)nonet_0.4.0.tgz(r-4.3-emscripten)
nonet.pdf |nonet.html✨
nonet/json (API)
# Install 'nonet' in R: |
install.packages('nonet', repos = c('https://aviralvijay-gslab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gslabdev/nonet/issues
- banknote_authentication - Bank Note Authentication Data Set
Last updated 6 years agofrom:304487e495. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 22 2024 |
R-4.5-win | NOTE | Oct 22 2024 |
R-4.5-linux | NOTE | Oct 22 2024 |
R-4.4-win | NOTE | Oct 22 2024 |
R-4.4-mac | NOTE | Oct 22 2024 |
R-4.3-win | NOTE | Oct 22 2024 |
R-4.3-mac | NOTE | Oct 22 2024 |
Exports:nonet_ensemblenonet_plot
Dependencies:askpassbackportsbase64encbitbit64blobbroombslibcachemcallrcaretcellrangerclassclicliprclockcodetoolscolorspaceconflictedcpp11crayoncurldata.tableDBIdbplyrdiagramdigestdplyrdtplyre1071evaluatefansifarverfastmapfontawesomeforcatsforeachfsfuturefuture.applygarglegenericsggplot2glmnetglobalsgluegoogledrivegooglesheets4gowergtablehardhathavenhighrhmshtmltoolshttridsipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmodelrmunsellnlmennetnumDerivopensslparallellypillarpkgconfigplyrprettyunitspROCprocessxprodlimprogressprogressrproxypspurrrR6raggrandomForestrappdirsRColorBrewerRcppRcppEigenreadrreadxlrecipesrematchrematch2reprexreshape2rlangrlistrmarkdownrpartrstudioapirvestsassscalesselectrshapeSQUAREMstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetimeDatetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunXMLxml2yaml
nonet_ensemble classification with nonet_plot
Rendered fromnonet_ensemble_class.Rmd
usingknitr::rmarkdown
on Oct 22 2024.Last update: 2019-01-15
Started: 2018-12-31
nonet_ensemble Clustering with nonet_plot
Rendered fromnonet_ensemble_clustering.Rmd
usingknitr::rmarkdown
on Oct 22 2024.Last update: 2019-01-15
Started: 2018-12-31
nonet_ensemble regression with nonet_plot
Rendered fromnonet_ensemble_reg.Rmd
usingknitr::rmarkdown
on Oct 22 2024.Last update: 2019-01-15
Started: 2018-12-31
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bank Note Authentication Data Set | banknote_authentication |
Ensemble Prediction without using training labels | nonet_ensemble |
Plot the predictions or results of nonet_ensemble | nonet_plot |