Package: subsemble 0.1.0

subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits

The Subsemble algorithm is a general subset ensemble prediction method, which can be used for small, moderate, or large datasets. Subsemble partitions the full dataset into subsets of observations, fits a specified underlying algorithm on each subset, and uses a unique form of k-fold cross-validation to output a prediction function that combines the subset-specific fits. An oracle result provides a theoretical performance guarantee for Subsemble. The paper, "Subsemble: An ensemble method for combining subset-specific algorithm fits" is authored by Stephanie Sapp, Mark J. van der Laan & John Canny (2014) <doi:10.1080/02664763.2013.864263>.

Authors:Erin LeDell [cre], Stephanie Sapp [aut], Mark van der Laan [aut]

subsemble_0.1.0.tar.gz
subsemble_0.1.0.zip(r-4.7)subsemble_0.1.0.zip(r-4.6)subsemble_0.1.0.zip(r-4.5)
subsemble_0.1.0.tgz(r-4.6-any)subsemble_0.1.0.tgz(r-4.5-any)
subsemble_0.1.0.tar.gz(r-4.7-any)subsemble_0.1.0.tar.gz(r-4.6-any)
subsemble_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
subsemble/json (API)
NEWS

# Install 'subsemble' in R:
install.packages('subsemble', repos = c('https://ledell.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ledell/subsemble/issues

On CRAN:

Conda:

big-datacross-validationensembleensemble-learningmachine-learningmachine-learning-algorithms

4.37 score 43 stars 11 scripts 300 downloads 2 exports 14 dependencies

Last updated from:93a0acd027. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK127
source / vignettesOK238
linux-release-x86_64OK126
macos-release-arm64OK117
macos-oldrel-arm64OK134
windows-develOK76
windows-releaseOK81
windows-oldrelOK92
wasm-releaseOK138

Exports:predict.subsemblesubsemble

Dependencies:bitopscaToolscodetoolscvAUCdata.tableforeachgamgplotsgtoolsiteratorsKernSmoothnnlsROCRSuperLearner