Package: ngboostForecast 0.1.1

Resul Akay

ngboostForecast: Probabilistic Time Series Forecasting

Probabilistic time series forecasting via Natural Gradient Boosting for Probabilistic Prediction.

Authors:Resul Akay [aut, cre]

ngboostForecast_0.1.1.tar.gz
ngboostForecast_0.1.1.zip(r-4.7-any)ngboostForecast_0.1.1.zip(r-4.6-any)ngboostForecast_0.1.1.zip(r-4.5-any)
ngboostForecast_0.1.1.tgz(r-4.6-any)ngboostForecast_0.1.1.tgz(r-4.5-any)
ngboostForecast_0.1.1.tar.gz(r-4.7-any)ngboostForecast_0.1.1.tar.gz(r-4.6-any)
ngboostForecast_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ngboostForecast/json (API)

# Install 'ngboostForecast' in R:
install.packages('ngboostForecast', repos = c('https://akai01.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/akai01/ngboostforecast/issues

Datasets:
  • seatbelts - Road Casualties in Great Britain 1969-84

On CRAN:

Conda:

forecastingmachine-learningngboostngboost-forecastprobabilistic-forecastspythonsklearntime-series

3.69 score 7 stars 14 scripts 309 downloads 10 exports 45 dependencies

Last updated from:08c92edd3c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK166
source / vignettesOK211
linux-releaseOK150
macos-releaseOK217
macos-oldrelOK241
windows-develOK146
windows-releaseOK155
windows-oldrelOK125
wasm-releaseOK98

Exports:%<>%%>%autolayerautoplotDistis_exists_condaNGBforecastNGBforecastCVScoressklearner

Dependencies:clicolorspacecpp11dplyrfarverforecastfracdiffgenericsggplot2gluegtablehereisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMatrixnlmennetpillarpkgconfigpngR6rappdirsRColorBrewerRcppRcppArmadilloRcppTOMLreticulaterlangrprojrootS7scalestibbletidyselecttimeDateurcautf8vctrsviridisLitewithrzoo