doe_orthogonal_array — MULTIVAR `plan` op

• 資料種類:無 → design(僅由參數決定的運算子 —— 不接受影像或資料輸入)

• 呼叫: import fullseye as fs; fs.ledger.doe_orthogonal_array(name='L9', factors=None, columns=None) -> 'dict'(要直接呼叫實作,import doe; doe.doe_orthogonal_array(name='L9', factors=None, columns=None) -> 'dict';從台帳取用則 opsmultivar.get("doe_orthogonal_array"))

用法

直交表 L4 / L8 / L9 / L12 / L16 / L18 / L27（照錄自公開發表的表）-> design。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

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.

詳細使用指南

• design_of_experiments 族使用指南

參考(範例資料、文獻)

• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。

• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。

• 演算法的正典(作者、年份)與用途見上面的族使用指南。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

• 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

型別可銜接的下一個運算子(可接受 `design` 作為輸入)

doe_decode · rsm_fit · doe_main_effects · sens_morris · sens_sobol

同類別(`plan`)

doe_lhs · doe_fractional_factorial · doe_central_composite · doe_box_behnken

*Provenance: doe.py — MULTIVAR 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*

doe_orthogonal_array — MULTIVAR plan op

用法