Package: kantime 0.0.0.1
kantime: Nixtla's KAN Time Series Model In R
This package is a binding between Nixtla's neuralforecast Library, specifically KANs, and R's {modeltime} package. Nixtla's KAN is bound using {reticulate}, which is then ported into {parsnip} and bridged to {modeltime}.
Authors:
kantime_0.0.0.1.tar.gz
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kantime_0.0.0.1.tgz(r-4.4-any)kantime_0.0.0.1.tgz(r-4.3-any)
kantime_0.0.0.1.tar.gz(r-4.5-noble)kantime_0.0.0.1.tar.gz(r-4.4-noble)
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kantime.pdf |kantime.html✨
kantime/json (API)
# Install 'kantime' in R: |
install.packages('kantime', repos = c('https://frankiethull.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/frankiethull/kantime/issues
Last updated 1 days agofrom:14690053ac. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 23 2024 |
R-4.5-win | WARNING | Dec 23 2024 |
R-4.5-linux | WARNING | Dec 23 2024 |
R-4.4-win | WARNING | Dec 23 2024 |
R-4.4-mac | WARNING | Dec 23 2024 |
R-4.3-win | WARNING | Dec 23 2024 |
R-4.3-mac | WARNING | Dec 23 2024 |
Exports:create_neuralforecast_envinstall_neuralforecastkankan_bridge_fit_impluse_neuralforecast_env
Dependencies:abindanytimeaskpassbackportsbase64encBHbigDbitbit64bitopsbroombslibcachemcallrcheckmateclassclicliprclockcodetoolscolorspacecommonmarkconflictedcpp11crayoncrosstalkcurldata.tabledescdiagramdialsDiceDesigndigestdistributionaldoFuturedoParalleldplyrdygraphsevaluateextraDistrfansifarverfastmapfontawesomeforcatsforeachforecastfracdifffsfurrrfuturefuture.applygenericsggplot2globalsgluegowerGPfitgridExtragtgtablehardhatherehighrhmshtmltoolshtmlwidgetshttrinferinlineipredisobanditeratorsjanitorjquerylibjsonlitejuicyjuiceKernSmoothknitrlabelinglaterlatticelavalazyevallhslifecyclelistenvlmtestloolubridatemagrittrmarkdownMASSMatrixmatrixStatsmemoisemgcvmimemodeldatamodelenvmodeltimemunsellnlmennetnumDerivopensslpadrparallellyparsnippatchworkpillarpkgbuildpkgconfigplotlypngposteriorprettyunitsprocessxprodlimprogressprogressrpromisesprophetpspurrrquadprogquantmodQuickJSRR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRcppRollRcppTOMLreactablereactRreadrrecipesreticulaterlangrmarkdownrpartrprojrootrsamplerstanrstantoolsrstudioapisassscalessfdshapeslidersnakecaseSQUAREMStanHeadersstringistringrsurvivalsystensorAtibbletidymodelstidyrtidyselecttimechangetimeDatetimetktinytextseriestsfeaturesTTRtunetzdburcautf8V8vctrsviridisLitevroomwarpwithrworkflowsworkflowsetsxfunxgboostxml2xtsyamlyardstickzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Create Virtual Environment Wrapper | create_neuralforecast_env |
Install Development Version of neuralforecast From Github dev version contains conformal methods for predicting | install_neuralforecast |
Use Virtual Environment Wrapper | use_neuralforecast_env |