sfhybrid
Placeholder release. The library is under development; code will land here as it is extracted and tested.
pip install sfhybrid
SFHybrid (abbreviated SFX) is a spatiotemporal neurosymbolic forecasting method with three layers:
- Slow layer: global signals learned statistically by default. Optionally, an LLM agent reads text sources and adds its own signals, which are kept only if they improve held-out likelihood.
- Modelers: configurable statistical, ML and neural models, one per frequency band.
- FX layer (fractal hybrid): learns how to mix the components into a joint predictive distribution over many series, time scales and hierarchy levels.
The goal is an estimator as easy to use as XGBoost or LightGBM, where the output is a full predictive distribution.
import sfhybrid as sfx
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Release files for sfhybrid 0.0.2
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