doe_orthogonal_array — MULTIVAR `plan` 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_orthogonal_array(name='L9', factors=None, columns=None) -> 'dict'(要直接调用实现,import doe; doe.doe_orthogonal_array(name='L9', factors=None, columns=None) -> 'dict';从台账取用则 opsmultivar.get("doe_orthogonal_array"))

用法

正交表 L4 / L8 / L9 / L12 / L16 / L18 / L27（照录自公开发表的表）-> design。

> 以下的详细说明为原文 —— 摘要与标题已翻译。

The arrays are copied from published tables (sources and the copy check in OA_SOURCES), not generated: Taguchi's numbering of columns is what shop-floor literature and the linear graphs refer to, and a generated array with another column order would silently assign factors to interaction columns. Published level symbols 1, 2 (, 3) map to coded −1, +1 (, or −1, 0, +1).

factors: int / names / (name, lo, hi[, unit[, scale]]) (default: one factor per column). columns: 1-based column numbers to assign the factors to, in order (default: the first k columns; for L18 column 1 is the two-level one).

The returned alias lists, for every pair of assigned factors, the columns their interaction falls on and the share (see _oa_interaction_share) — if such a column also carries an assigned factor, that main effect is confounded with the interaction. meta['strength2_ok'] re-checks orthogonality on the table actually used, and meta['regular'] says whether interactions land on whole columns.

详细使用指南

• design_of_experiments 族使用指南

参考(示例数据、文献)

• 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。

可运行的示例(实际调用该算子并已验证的样例)

• doe_plan_tour — py -3.11 examples/doe_plan_tour.py

• multivar_inspection_tour — py -3.11 examples/multivar_inspection_tour.py

• poc_simcal_thin_film — py -3.11 examples/poc_simcal_thin_film.py

类型可衔接的下一个算子(可接受 `design` 作为输入)

doe_decode · rsm_fit · doe_main_effects · sens_morris · sens_sobol

同类别(`plan`)

doe_lhs · doe_fractional_factorial · doe_central_composite · doe_box_behnken

*Provenance: doe.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)。*

doe_orthogonal_array — MULTIVAR plan op

用法