Hugging Face Blog·· 2 d ago
Ensemble forecasting with IBM Granite time-series models
Ensemble forecasting with IBM Granite time-series models
AI summary
Four open Granite models, one extensible forecasting interface, and less guesswork about which model to use. One recipe combines four complementary Granite architectures and returns median and quantile forecasts, with no retraining and no fitted ensemble weights.
Selection record
Threshold 60Official, first-handFirst 42Second 38
Not admittedSum of both 80 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：IBM Granite时序基础模型集成预测，属AI模型技术
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: Hugging Face Blog · huggingface.co