ridge_global — n4m.model_selection.aom_search.ridge_global

Namespace: n4m.model_selection.aom_search · Fully-qualified: n4m.model_selection.aom_search.ridge_global · Catalog id: aom_pop.ridge_global

C ABI symbols (ABI 2.0): n · o · n · e

Python: from n4m.model_selection.aom_search import aom_ridge_global

Python-backed donor-style AOM Ridge global selector constrained to strict-linear single-operator AOM views. It delegates scoring and final fit to the native aom_chain_sweep_run Ridge-only path, selects one operator plus one positive Ridge alpha by train CV, and returns folded input_coefficients plus intercept for replay through NativeAOMRidgeGlobalRegressor. It intentionally excludes donor branch_global, MKL/kernel, row-reference-dependent preprocessing and nonlinear AOM Ridge modes; native v1 builds in CUDA-enabled configurations but this is not yet a fused GPU grinder.

Timing benchmark: benchmarks/cross_binding/bench_aom_ridge_global_timing.py

See also: methods index.