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:
n4amirrors the fullnirs4all_coreaggregate surface.
Native archive bridge
nirs4all_core.read_portable_predictor_package_v2(path) invokes the embedded
Rust Archive V2 reader and returns the exact validated DAG-ML Package V2 bytes.
It does not parse ZIP members in Python, deserialize the package, or execute a
prediction. Pass the returned bytes to DAG-ML's typed package/replay surface;
the aggregate remains only the container and integrity boundary.
replay_methods_archive_v2(...) and replay_methods_archive_v3(...) provide
the callback-free execution path. Rust validates the complete archive before
DAG-ML parses the signed request and numeric Methods inputs or opens the
invocation-local N4MM runtime. These functions do not accept Python callbacks,
estimator handles, pickle, or joblib sidecars; unsupported host controllers are
refused rather than hydrated implicitly.
For calibrated scalar Package V2 archives,
replay_methods_archive_v2_conformal_presentation_v1(...) returns the exact
self-validating presentation built by DAG-ML from the native replay. The
Python layer only transports strict JSON; it does not calculate quantiles,
interval endpoints, fingerprints, or sample joins.
For named multi-target outputs,
replay_methods_archive_v2_conformal_presentation_v2(...) returns the
additive, archive-bound ConformalPresentationV2. It preserves predictor,
archive, calibration and presentation fingerprints and applies the same
no-recalculation rule. V1 remains the scalar compatibility surface.
Archive replay accepts raw PLS N4MM format 1 and the exact embedded format 2
SNV(ddof=0) -> Savitzky-Golay(mode=interp) -> PLS profile. Format 2 requires
its typed ABI 2.5 descriptor and never falls back to Python preprocessing.
Training an IO DatasetPackage into Archive V2 is currently a Rust aggregate
surface, not a Python API.
Portable Execution
nirs4all_core.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-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 \
N4M_LIB_PATH=/path/to/libn4m.so \
NIRS4ALL_CORE_REQUIRE_METHODS_PARITY=1 \
python -m unittest bindings/python/tests/test_execution_parity.py -v
1 maintainer
Metadata
1 maintainer
Release files for nirs4all-core 0.3.25
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nirs4all_core-0.3.25.tar.gz | 224.9 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nirs4all_core-0.3.25-cp311-abi3-win_amd64.whl | CPython 3.11 | abi3 | Windows x86-64 | Details |
| nirs4all_core-0.3.25-cp311-abi3-manylinux_2_28_x86_64.whl | CPython 3.11 | abi3 | Linux glibc 2.28+ x86-64 | Details |
| nirs4all_core-0.3.25-cp311-abi3-macosx_11_0_arm64.whl | CPython 3.11 | abi3 | macOS 11.0+ ARM64 | Details |
Total release size: 9.1 MB
Release files / nirs4all_core-0.3.25.tar.gz
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| Size | 224.9 kB |
| Tags | Source |
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| Size | 2.8 MB |
| Tags | CPython 3.11 Windows x86-64 abi3 |
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| Tags | CPython 3.11 Linux glibc 2.28+ x86-64 abi3 |
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| Tags | CPython 3.11 abi3 macOS 11.0+ ARM64 |
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