| Name : R-forecastML
| |
| Version : 0.9.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.20.1
| Date : 2024-06-08 18:56:50
|
| Group : Development/Libraries/Other
| Source RPM : R-forecastML-0.9.0-lp155.20.1.src.rpm
|
| Size : 2.99 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Time Series Forecasting with Machine Learning Methods
|
Description :
The purpose of \'forecastML\' is to simplify the process of
multi-step-ahead forecasting with standard machine learning algorithms.
\'forecastML\' supports lagged, dynamic, static, and grouping features
for modeling single and grouped numeric or factor/sequence time series.
In addition, simple wrapper functions are used to support
model-building with most R packages. This approach to forecasting is
inspired by Bergmeir, Hyndman, and Koo\'s (2018) paper \"A note on the
validity of cross-validation for evaluating autoregressive time series
prediction\" < doi:10.1016/j.csda.2017.11.003>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
