nirs4all-core 0.3.0

Portable nirs4all aggregate binding over formats, IO, methods, dag-ml, and dag-ml-data (datasets optional)

Python Binding

Distribution name: nirs4all-core

Import name: nirs4all_core

This binding intentionally avoids the nirs4all import name so it can be installed next to the full Python nirs4all package during parity checks. The canonical source repository is nirs4all-core; only the Python distribution carries the -core suffix because the production nirs4all Python package already owns the bare name.

An additive import facade is available for governed topology work:

• n4a mirrors the full nirs4all_core aggregate surface.

Portable Execution

nirs4all_core.run_portable_pipeline(source, dataset) executes the shared portable JSON/YAML subset through the nirs4all-methods Python bindings:

• KennardStoneSplitter
• StandardNormalVariate / SNV
• SavitzkyGolay
• sklearn.cross_decomposition.PLSRegression
• _range_ sweeps over n_components

Savitzky-Golay defaults to mode="interp" for full Python nirs4all parity and preserves explicit methods-backed modes (mirror, constant, nearest, wrap, interp) plus cval.

The aggregate does not implement numerical kernels. Install the optional methods extra, or make n4m and pls4all importable, before calling it:

python -m pip install "nirs4all-core[methods]"

The strict local parity gate compares all shared fixtures against the full Python nirs4all oracle and reports max prediction/RMSE deltas on failure:

PYTHONPATH=bindings/python/src:/path/to/nirs4all-methods/bindings/python/src \
PLS4ALL_LIB_PATH=/path/to/libn4m.so \
NIRS4ALL_CORE_REQUIRE_METHODS_PARITY=1 \
python -m unittest bindings/python/tests/test_execution_parity.py -v