IBM combines existing Granite forecasters in an ensemble recipe

What changed

IBM offers equal-influence pooling and an alternative weighted by forecast spread.

Source: IBM Research Granite ensemble forecasting recipe

Our analysis

Builder’s view: before automating stock orders, translate an underforecast and an overforecast into operational consequences. Tie human override to those consequences rather than to a narrow interval alone.

Keep in mind

Channels are forecast separately; extra runtime and memory bring no calibration guarantee.

Source: IBM Research Granite ensemble forecasting recipe