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