Breaking the Python Barrier: Building a Pure R-Native DeepAR Engine with LibTorch

Deep learning for time series forecasting in R has historically faced a major architectural hurdle: Python overhead. Frameworks like modeltime.gluonts provide interface wrappers around AWS GluonTS, but they rely on a complex execution chain passing through reticulate, virtual environments, Python serialization, and MXNet/PyTorch backends. To overcome the performance …