feat: add CUSUM MetaOperator for real-time change-point detection
Context
CUSUM (Cumulative Sum) is a real-time change-point detection algorithm commonly used in anomaly detection pipelines. This MR adds CUSUM as a MetaOperator in aidge_core, allowing it to be used as a standard node in an Aidge graph.
The algorithm maintains a running statistic: S[t] = max(0, S[t-1] + (x[t] - drift))
A change point is detected externally when S[t] exceeds a user-defined threshold. The operator is designed for online (real-time) use: no fixed number of steps is required.
Modified files
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CUSUM.cpp(new): MetaOperator implementation using a micro-graph composed of Sub, Add, Clip and Memorize nodes -
MetaOperatorDefs.hpp: add declarations for CUSUM_Op and CUSUM -
pybind_MetaOperatorDefs.cpp: add Python bindings (aidge_core.CUSUM, aidge_core.CUSUMOp) -
Test_MetaOperator.cpp: add structure unit test for the CUSUM node