plan opなし → design(引数だけで決まる op —— 画像やデータの入力を取らない)import fullseye as fs; fs.ledger.doe_central_composite(factors=3, alpha='rotatable', center=4, generators=None, inscribed=False) -> 'dict' (実装を直接呼ぶなら import doe; doe.doe_central_composite(factors=3, alpha='rotatable', center=4, generators=None, inscribed=False) -> 'dict'、台帳から引くなら opsmultivar.get("doe_central_composite"))Central composite design (Box & Wilson 1951) -> design.
Three parts: the two-level factorial (full 2^k, or a fraction from generators
as in :func:doe_fractional_factorial — it must be resolution V or better so that
every two-factor interaction of the quadratic model stays estimable), 2k axial
points at ±alpha on each axis, and center centre points.
alpha: "rotatable" — alpha = F^(1/4) with F the number of factorial points
(the prediction variance then depends only on the distance from the centre;
Box & Hunter 1957), "face" — alpha = 1 (face-centred, three levels only),
"spherical" — alpha = sqrt(k), or a number > 0.
inscribed=True shrinks the whole design by 1/alpha so that the axial points sit at
the ends of the range (lo/hi) and the factorial points inside it; otherwise the
factorial points sit at lo/hi and the axial points go outside the range —
meta['outside_range'] then names the factors whose natural values leave lo..hi
(check that the bench can be set there).
py -3.11 examples/doe_plan_tour.pypy -3.11 examples/multivar_inspection_tour.pydesign を入力に取れる)doe_decode · rsm_fit · doe_main_effects · sens_morris · sens_sobol
plan)doe_lhs · doe_orthogonal_array · doe_fractional_factorial · doe_box_behnken
Provenance: doe.py — MULTIVAR operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.