Package: llama 0.10.1
llama: Leveraging Learning to Automatically Manage Algorithms
Provides functionality to train and evaluate algorithm selection models for portfolios.
Authors:
llama_0.10.1.tar.gz
llama_0.10.1.tar.gz(r-4.5-noble)llama_0.10.1.tar.gz(r-4.4-noble)
llama_0.10.1.tgz(r-4.4-emscripten)llama_0.10.1.tgz(r-4.3-emscripten)
llama.pdf |llama.html✨
llama/json (API)
NEWS
# Install 'llama' in R: |
install.packages('llama', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://bitbucket.org/lkotthoff/llama
- satsolvers - Example data for Leveraging Learning to Automatically Manage Algorithms
Last updated 4 years agofrom:f95206aaeb. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 04 2024 |
R-4.5-linux | OK | Dec 04 2024 |
Exports:bsFoldsclassifyclassifyPairsclustercontributionscvFoldsimputeCensoredinputmakeRLearner.classif.constantmisclassificationPenaltiesnormalizeparscoresperfScatterPlotpredictLearner.classif.constantpredTableprint.llama.dataprint.llama.modelregressionregressionPairssingleBestsingleBestByCountsingleBestByParsingleBestBySuccessessuccessestrainLearner.classif.constanttrainTesttuneModelvbs
Dependencies:backportsBBmisccheckmateclicolorspacedata.tablefansifarverfastmatchggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmlrmunsellnlmeparallelMapParamHelperspillarpkgconfigplyrR6RColorBrewerRcpprJavarlangscalesstringisurvivaltibbleutf8vctrsviridisLitewithrXML