| Name : R-tsLSTMx
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 12:02:59
|
| Group : Development/Libraries/Other
| Source RPM : R-tsLSTMx-0.1.0-lp153.1.4.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : Predict Time Series Using LSTM Model Including Exogenous Variable to Denote Zero Values
|
Description :
It is a versatile tool for predicting time series data using Long
Short-Term Memory (LSTM) models. It is specifically designed to handle
time series with an exogenous variable, allowing users to denote
whether data was available for a particular period or not. The package
encompasses various functionalities, including hyperparameter tuning,
custom loss function support, model evaluation, and one-step-ahead
forecasting. With an emphasis on ease of use and flexibility, it
empowers users to explore, evaluate, and deploy LSTM models for
accurate time series predictions and forecasting in diverse
applications. More details can be found in Garai and Paul (2023)
< doi:10.1016/j.iswa.2023.200202>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
