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)—
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.