Package: agghoo 0.1-0
Benjamin Auder
agghoo: Aggregated Hold-Out Cross Validation
The 'agghoo' procedure is an alternative to usual cross-validation. Instead of choosing the best model trained on V subsamples, it determines a winner model for each subsample, and then aggregates the V outputs. For the details, see "Aggregated hold-out" by Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle (2021) <arxiv:1909.04890> published in Journal of Machine Learning Research 22(20):1--55.
Authors:
agghoo_0.1-0.tar.gz
agghoo_0.1-0.tar.gz(r-4.5-noble)agghoo_0.1-0.tar.gz(r-4.4-noble)
agghoo_0.1-0.tgz(r-4.4-emscripten)agghoo_0.1-0.tgz(r-4.3-emscripten)
agghoo.pdf |agghoo.html✨
agghoo/json (API)
| # Install 'agghoo' in R: |
| install.packages('agghoo', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
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:fb4db45572. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
Exports:agghooagghoo_runAgghooCVcompareMulticompareRangecompareToCVvoting_runModelstandardCV_run
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| agghoo | agghoo |
| agghoo_run | agghoo_run |
| R6 class with agghoo functions fit() and predict(). | AgghooCV |
| compareMulti | compareMulti |
| compareRange | compareRange |
| compareTo | compareTo |
| CVvoting_run | CVvoting_run |
| R6 class representing a (generic) model. | Model |
| standardCV_run | standardCV_run |