sfhybrid
Placeholder release. The library is under development.
sfhybrid will package Chorochronos, a spatiotemporal neurosymbolic forecaster 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.
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Release files for sfhybrid 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sfhybrid-0.0.1.tar.gz | 5.3 kB | Without provenance | Details for sfhybrid-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sfhybrid-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for sfhybrid-0.0.1-py3-none-any.whl |
Total release size: 11.2 kB
Release files / sfhybrid-0.0.1.tar.gz
| Download URL | sfhybrid-0.0.1.tar.gz |
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| Size | 5.3 kB |
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Release files / sfhybrid-0.0.1-py3-none-any.whl
| Download URL | sfhybrid-0.0.1-py3-none-any.whl |
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| Size | 5.9 kB |
| Tags | Python 3 |
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