Package: less 0.1.0
less: Learning with Subset Stacking
"Learning with Subset Stacking" is a supervised learning algorithm that is based on training many local estimators on subsets of a given dataset, and then passing their predictions to a global estimator. You can find the details about LESS in our manuscript at <arxiv:2112.06251>.
Authors:
less_0.1.0.tar.gz
less_0.1.0.zip(r-4.5)less_0.1.0.zip(r-4.4)less_0.1.0.zip(r-4.3)
less_0.1.0.tgz(r-4.4-any)less_0.1.0.tgz(r-4.3-any)
less_0.1.0.tar.gz(r-4.5-noble)less_0.1.0.tar.gz(r-4.4-noble)
less_0.1.0.tgz(r-4.4-emscripten)less_0.1.0.tgz(r-4.3-emscripten)
less.pdf |less.html✨
less/json (API)
| # Install 'less' in R: |
| install.packages('less', repos = c('https://bozercavdar.r-universe.dev', 'https://cloud.r-project.org')) |
- abalone - Abalone Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:302a6d5544. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 09 2024 |
| R-4.5-win | NOTE | Oct 09 2024 |
| R-4.5-linux | NOTE | Oct 09 2024 |
| R-4.4-win | NOTE | Oct 09 2024 |
| R-4.4-mac | NOTE | Oct 09 2024 |
| R-4.3-win | NOTE | Oct 09 2024 |
| R-4.3-mac | NOTE | Oct 09 2024 |
Exports:BaseEstimatorcomparison_plotCoverTreeDecisionTreeClassifierDecisionTreeRegressorget_functionsHierarchicalClusteringk_fold_cvKDTreeKMeansKNeighborsClassifierKNeighborsRegressorlaplacianLESSClassifierLESSRegressorLinearRegressionprepareDatasetprepareXsetRandomForestClassifierRandomForestRegressorrbfSklearnEstimatorSVCSVRsynthetic_sine_curvetest_timingtrain_test_split
Dependencies:bitopscaretcaToolsclasscliclockclustercodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverFNNforeachfuturefuture.applygenericsggplot2globalsgluegowergplotsgtablegtoolshardhatiotoolsipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvMLmetricsModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpracmapROCprodlimprogressrproxypurrrR6randomForestRANNRColorBrewerRcpprecipesreshape2rlangROCRrpartscalesshapesparsesvdSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrwordspace
