Package: JOUSBoost 2.1.0
JOUSBoost: Implements Under/Oversampling for Probability Estimation
Implements under/oversampling for probability estimation. To be used with machine learning methods such as AdaBoost, random forests, etc.
Authors:
JOUSBoost_2.1.0.tar.gz
JOUSBoost_2.1.0.zip(r-4.5)JOUSBoost_2.1.0.zip(r-4.4)JOUSBoost_2.1.0.zip(r-4.3)
JOUSBoost_2.1.0.tgz(r-4.4-x86_64)JOUSBoost_2.1.0.tgz(r-4.4-arm64)JOUSBoost_2.1.0.tgz(r-4.3-x86_64)JOUSBoost_2.1.0.tgz(r-4.3-arm64)
JOUSBoost_2.1.0.tar.gz(r-4.5-noble)JOUSBoost_2.1.0.tar.gz(r-4.4-noble)
JOUSBoost_2.1.0.tgz(r-4.4-emscripten)JOUSBoost_2.1.0.tgz(r-4.3-emscripten)
JOUSBoost.pdf |JOUSBoost.html✨
JOUSBoost/json (API)
| # Install 'JOUSBoost' in R: |
| install.packages('JOUSBoost', repos = c('https://molson2.r-universe.dev', 'https://cloud.r-project.org')) |
- sonar - Dataset of sonar measurements of rocks and mines
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:6a2f31785c. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 06 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 06 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 06 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 06 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 06 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 06 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 06 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 06 2024 |
Exports:adaboostcircle_datafriedman_datagrid_probsjouspredict.adaboost
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| AdaBoost Classifier | adaboost |
| Simulate data from the circle model. | circle_data |
| Simulate data from the Friedman model | friedman_data |
| Function to compute predicted quantiles | grid_probs |
| Return indices to be used for jittered data in oversampling | index_over |
| Return indices to be used in original data for undersampling | index_under |
| Jittering with Over/Under Sampling | jous |
| JOUSBoost: A package for probability estimation | JOUSBoost-package JOUSBoost |
| Create predictions from AdaBoost fit | predict.adaboost |
| Create predictions | predict.jous |
| Print a summary of adaboost fit. | print.adaboost |
| Print a summary of 'jous' fit. | print.jous |
| Dataset of sonar measurements of rocks and mines | sonar |
