change op• 資料種類:signal → table
• 呼叫: import fullseye as fs; fs.ledger.spc_cusum(signal, target, k=0.5, h=5.0)(要直接呼叫實作,import spc; spc.spc_cusum(signal, target, k=0.5, h=5.0);從台帳取用則 opsspc.get("spc_cusum"))
> 該運算子的說明尚無譯文,以下照原文給出。
Tabular CUSUM chart for individual measurements.
signal is a 1-D series of individual measurements. With a reference value target, a slack k (in the same units as the measurements — commonly half the shift you want to catch) and a decision interval h::
C+_i = max(0, C+_{i-1} + (x_i - target) - k)
C-_i = max(0, C-_{i-1} - (x_i - target) - k)
starting from C+_0 = C-_0 = 0, alarming at index i when C+_i > h or C-_i > h. Returns a dict with the c_plus / c_minus arrays, the integer alarms indices, the first alarm index (or -1), and the echoed target / k / h.
Ground truth (pinned in the tests): a series constant at target keeps C+ == C- == 0; after a sustained upward step of size d > k the upper sum grows at exactly d - k per sample.
Raises ValueError: a non-1-D / empty *signal*, a non-finite *target* / *k* / *h*, a negative *k*, or a non-positive *h*.
• 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。
• poc_spc — py -3.11 examples/poc_spc.py
table 作為輸入)msa_anova_table · msa_gauge_rr · msa_bias_linearity · msa_attribute_agreement · gum_standard_uncertainty · gum_propagate · gum_expanded · gum_monte_carlo
change)*Provenance: spc.py — SPC 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.