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zenfro_v1 (weather-heavy aurora blend) with
Grammar of Time (GoT) and forecast-friendly seasonality upgrades.| Layer | What |
|---|---|
| Stems (v1) | weather (~34%), trend/seasonal, AR2, integrated, RFF-GP, … |
| GoT (~22%) | compose ⊕, splice ‖, nested ⋉, causal ▷ |
| Seasonality | coupled calendar pairs (24↔168, 7↔52, …) + amp/phase drift |
| Clean mode | low-noise seasonal rows for sharp periodic reconstruction |
Series → Production | Stem
Production → Compose | Splice | Nested | Causal
Compose → Stem ⊕ Stem [⊕ Stem] # additive / multiplicative phrase
Splice → Stem ‖ Stem # clause = change of generating law
Nested → Envelope ⋉ Carrier # slow modulates fast
Causal → Driver ▷ Response # lagged temporal chainzenfro_v2/
generator.py # Generator(DataGenerator)
config.json # active mixture + GoT knobs
requirements.txt # numpy + numba
README.md1cascade verify ./mywork/zenfro_v2
2cascade score ./mywork/zenfro_v2 --pool-dir <held-out>| key | role |
|---|---|
family_weights | mixture over stems + GoT |
got_depth | stems stacked in compose (2–4) |
got_mul_frac | multiplicative vs additive compose |
got_splice_cuts | clause boundaries in splice |
got_nest_ratio | slow/fast scale span |
got_causal_lag_frac | max lag as fraction of L |
sa_clean_* | clean low-noise seasonal mode |
tr_* / gr_* | trend / growth excursion |
min_length = max_length = 4096)