sensitivity op• 数据种类:无 → design(仅由参数决定的算子 —— 不接受图像或数据输入)
• 调用: import fullseye as fs; fs.ledger.doe_saltelli(n=1024, factors=3, seed=0) -> 'dict'(要直接调用实现,import sensitivity; sensitivity.doe_saltelli(n=1024, factors=3, seed=0) -> 'dict';从台账取用则 opsmultivar.get("doe_saltelli"))
用于 Sobol' 指数的样本矩阵（Saltelli 等 2010）-> 共 n (k + 2) 次运行的 design。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
A Sobol' sequence of dimension 2k gives two independent n x k matrices A (first k columns) and B (last k). For each factor i, A_B^(i) is A with column i taken from B. Rows are stacked as [A; B; A_B^(1); ...; A_B^(k)] (meta['blocks']), which is the layout sens_sobol reads.
n must be a power of two: the balance properties of a Sobol' sequence hold for 2^m points, and the estimators' error behaves erratically otherwise — the op refuses rather than silently degrading. seed scrambles the sequence (Owen scrambling via scipy); seed=None uses the plain sequence.
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• 算法的正典(作者、年份)与用途见上面的族使用指南。
• sensitivity_tour — py -3.11 examples/sensitivity_tour.py
design 作为输入)doe_decode · rsm_fit · doe_main_effects · sens_morris · sens_sobol
sensitivity)doe_morris · sens_morris · sens_sobol
*Provenance: sensitivity.py — MULTIVAR 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.