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_fractional_factorial(factors=5, p=2, generators=None, center=0) -> 'dict' (implementation को सीधे call करना हो तो import doe; doe.doe_fractional_factorial(factors=5, p=2, generators=None, center=0) -> 'dict', registry से लेना हो तो opsmultivar.get("doe_fractional_factorial"))
generators से बना regular दो-स्तरीय fractional factorial 2^(k-p) (Box व Hunter 1961) -> design।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
The first k - p factors (letters A, B, C ... skipping I) form a full factorial in standard (Yates) order, A changing fastest. Each generator "D=ABC" sets an added factor's column to the product of base columns ("E=-ABD" for the other half). generators=None takes the recommended generators for (k, p) from the NIST/SEMATECH e-Handbook table (FF_NIST, 5.3.3.4.7 Table 3.17, after Box, Hunter & Hunter); p=0 or generators=() gives the full factorial 2^k.
The defining relation (every product of generator words I = ABCD = ...), the resolution (length of the shortest word: III = main effects aliased with two-factor interactions, IV = main effects clear but 2fi aliased with each other, V = 2fi clear) and the alias table of main effects and two-factor interactions are returned in meta and alias. They are computed from the generators, and the returned matrix is checked against them (each aliased pair of columns is identical up to sign).
center adds centre runs (coded 0) for a curvature check; they do not change the alias structure.
• 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
design को input के रूप में लेते हैं)doe_decode · rsm_fit · doe_main_effects · sens_morris · sens_sobol
plan)doe_lhs · doe_orthogonal_array · 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.