Package: splitTools 1.0.1
splitTools: Tools for Data Splitting
Fast, lightweight toolkit for data splitting. Data sets can be partitioned into disjoint groups (e.g. into training, validation, and test) or into (repeated) k-folds for subsequent cross-validation. Besides basic splits, the package supports stratified, grouped as well as blocked splitting. Furthermore, cross-validation folds for time series data can be created. See e.g. Hastie et al. (2001) <doi:10.1007/978-0-387-84858-7> for the basic background on data partitioning and cross-validation.
Authors:
splitTools_1.0.1.tar.gz
splitTools_1.0.1.zip(r-4.5)splitTools_1.0.1.zip(r-4.4)splitTools_1.0.1.zip(r-4.3)
splitTools_1.0.1.tgz(r-4.4-any)splitTools_1.0.1.tgz(r-4.3-any)
splitTools_1.0.1.tar.gz(r-4.5-noble)splitTools_1.0.1.tar.gz(r-4.4-noble)
splitTools_1.0.1.tgz(r-4.4-emscripten)splitTools_1.0.1.tgz(r-4.3-emscripten)
splitTools.pdf |splitTools.html✨
splitTools/json (API)
NEWS
# Install 'splitTools' in R: |
install.packages('splitTools', repos = c('https://mayer79.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mayer79/splittools/issues
cross-validationmachine-learningtime-seriesvalidation
Last updated 4 months agofrom:5ec340fcb6. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win | OK | Nov 07 2024 |
R-4.5-linux | OK | Nov 07 2024 |
R-4.4-win | OK | Nov 07 2024 |
R-4.4-mac | OK | Nov 07 2024 |
R-4.3-win | OK | Nov 07 2024 |
R-4.3-mac | OK | Nov 07 2024 |
Exports:create_foldscreate_timefoldsmulti_stratapartition
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Create Folds | create_folds |
Creates Folds for Time Series Data | create_timefolds |
Create Strata from Multiple Features | multi_strata |
Split Data into Partitions | partition |