Loading README.md +4 −4 Original line number Diff line number Diff line Loading @@ -4,8 +4,8 @@ An educational web application for teaching supply chain forecasting and demand ## Documentation - [Technical Report: Zero-Shot Forecasting Evaluation](./raport/medium_report.pdf) - [Simulation System Documentation](./raport/sim.pdf) - [Technical Report: Zero-Shot Forecasting Evaluation](./rapport/medium_report.pdf) - [Simulation System Documentation](./rapport/sim.pdf) ## Overview Loading Loading @@ -88,7 +88,7 @@ Multiple forecasting strategies were evaluated on the simulated data: TiRex, a zero-shot foundation model pre-trained on 47.5M time series, achieves competitive performance without any fine-tuning on the simulation data.   ## Data Generation Loading @@ -98,7 +98,7 @@ The `smart_data_generator.py` script creates realistic demand through customer b - **Bottom-up demand**: Aggregate demand emerges from individual purchase decisions - **Emergent patterns**: Trend, seasonality, and variance arise naturally from behavioral parameters See the [simulation documentation](./raport/sim.pdf) for details. See the [simulation documentation](./rapport/sim.pdf) for details. ## File Structure ``` Loading raport/medium_report.pdf→rapport/medium_report.pdf (670 KiB) File moved. View file raport/sim.pdf→rapport/sim.pdf (132 KiB) File moved. View file raport/source/forecast_comparison.png→rapport/source/forecast_comparison.png (758 KiB) File moved. View file raport/source/medium_report.md→rapport/source/medium_report.md +0 −0 File moved. View file Loading
README.md +4 −4 Original line number Diff line number Diff line Loading @@ -4,8 +4,8 @@ An educational web application for teaching supply chain forecasting and demand ## Documentation - [Technical Report: Zero-Shot Forecasting Evaluation](./raport/medium_report.pdf) - [Simulation System Documentation](./raport/sim.pdf) - [Technical Report: Zero-Shot Forecasting Evaluation](./rapport/medium_report.pdf) - [Simulation System Documentation](./rapport/sim.pdf) ## Overview Loading Loading @@ -88,7 +88,7 @@ Multiple forecasting strategies were evaluated on the simulated data: TiRex, a zero-shot foundation model pre-trained on 47.5M time series, achieves competitive performance without any fine-tuning on the simulation data.   ## Data Generation Loading @@ -98,7 +98,7 @@ The `smart_data_generator.py` script creates realistic demand through customer b - **Bottom-up demand**: Aggregate demand emerges from individual purchase decisions - **Emergent patterns**: Trend, seasonality, and variance arise naturally from behavioral parameters See the [simulation documentation](./raport/sim.pdf) for details. See the [simulation documentation](./rapport/sim.pdf) for details. ## File Structure ``` Loading
raport/source/forecast_comparison.png→rapport/source/forecast_comparison.png (758 KiB) File moved. View file