Files in robjhyndman/M4metalearning
Metalearning Tools For Time Series Forecasting

.Rbuildignore

.gitignore

DESCRIPTION

M4Metalearning.Rproj

NAMESPACE

R/combination_ensemble.R R/ensemble_classifier.R R/forec_methods_list.R R/generate_classif_problem.R R/hyperparam.R R/interval.R R/process_dataset.R R/subset_methods.R README.Rmd README.md docs/M4_methodology.Rmd

docs/M4_methodology.html

docs/M4_methodology.md docs/M4_reprod.Rmd docs/M4_reprod.md

docs/M4meta_flowchart.png

docs/M4meta_flowchart.svg

docs/example_forecast-1.png

docs/metalearning_example.md

docs/xgb_gain_plot-1.png

man/THA_features.Rd man/calc_forecasts.Rd man/calc_subset_methods.Rd man/create_feat_classif_problem.Rd man/forec_methods.Rd man/metatemp_train.Rd man/softmax_transform.Rd man/temp_holdout.Rd vignettes/metalearning_example.Rmd

robjhyndman/M4metalearning documentation built on May 21, 2019, 12:22 p.m.

rdrr.io home R language documentation Run R code online

CRAN packages Bioconductor packages R-Forge packages GitHub packages

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Tweet to @rdrrHQ

GitHub issue tracker

ian@mutexlabs.com