Difference between revisions of "Forecasting"
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Latest revision as of 14:41, 27 January 2023
Description
PyTorch Forecasting is a PyTorch-based package for forecasting time series with state-of-the-art network architectures. It provides a high-level API for training networks on pandas data frames and leverages PyTorch Lightning for scalable training on (multiple) GPUs, CPUs and for automatic logging.
PyTorch Forecasting aims to ease state-of-the-art timeseries forecasting with neural networks for real-world cases and research alike. The goal is to provide a high-level API with maximum flexibility for professionals and reasonable defaults for beginners.
Environment Modules
Run module spider forecasting to find out what environment modules are available for this application.
System Variables
- HPC_FORECASTING_DIR - installation directory