change op• 数据种类:signal → table
• 调用: import fullseye as fs; fs.ledger.spc_cusum(signal, target, k=0.5, h=5.0)(要直接调用实现,import spc; spc.spc_cusum(signal, target, k=0.5, h=5.0);从台账取用则 opsspc.get("spc_cusum"))
> 该算子的说明尚无译文,以下照原文给出。
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*.
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• 算法的正典(作者・年份)与用途见上面的族使用指南。
• poc_spc — py -3.11 examples/poc_spc.py
table 作为输入)—
change)*Provenance: spc.py — SPC 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.