plan op• Data kinds: कोई नहीं → design (केवल arguments से तय होने वाला op — यह कोई image या data input नहीं लेता)
• Call: import fullseye as fs; fs.ledger.doe_orthogonal_array(name='L9', factors=None, columns=None) -> 'dict' (implementation को सीधे call करना हो तो import doe; doe.doe_orthogonal_array(name='L9', factors=None, columns=None) -> 'dict', registry से लेना हो तो opsmultivar.get("doe_orthogonal_array"))
प्रकाशित तालिका से लिया गया orthogonal array L4 / L8 / L9 / L12 / L16 / L18 / L27 -> design।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
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.
• design_of_experiments family guide
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• 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
design को input के रूप में लेते हैं)doe_decode · rsm_fit · doe_main_effects · sens_morris · sens_sobol
plan)doe_lhs · doe_fractional_factorial · doe_central_composite · doe_box_behnken
*Provenance: doe.py — MULTIVAR operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.