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tope1129/t_smo_23_v2
t_smo_23_v2 is a machine learning model from tope1129. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Prior: v5 long-range mix + weekly demand (0.08) from dasadasv18 — the mix that dethroned the king on real GIFT-Eval (+10.4%). Weather weight is 0 (v16's weather=0.45 starved seasonal mass on multi-domain pools).
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.py22.6 KB · 86%
From the Hugging Face model README
Prior: v5 long-range mix + weekly demand (0.08) from dasadas_v18 — the mix
that dethroned the king on real GIFT-Eval (+10.4%). Weather weight is 0 (v16's
weather=0.45 starved seasonal mass on multi-domain pools).
Speed: numba AR/SETAR/chaotic/hold, _CHUNK=512, fixed-length 4096, rff_gp K=24.
Quality: broad seasonal periods (7/96/144/…), demand family, restored TSA+mult+LR.