Portable nirs4all aggregate binding over formats, IO, methods, dag-ml, and dag-ml-data (datasets optional)
Project description
Python Binding
Distribution name: nirs4all-lite
Import name: nirs4all_lite
This binding intentionally avoids the nirs4all import name so it can be
installed next to the full Python nirs4all package during parity checks.
Portable Execution
nirs4all_lite.run_portable_pipeline(source, dataset) executes the shared
portable JSON/YAML subset through the nirs4all-methods Python bindings:
KennardStoneSplitterStandardNormalVariate/SNVSavitzkyGolaysklearn.cross_decomposition.PLSRegression_range_sweeps overn_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-lite[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_LITE_REQUIRE_METHODS_PARITY=1 \
python -m unittest bindings/python/tests/test_execution_parity.py -v
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