nirs4all-methods 1.0.1

nirs4all-methods — portable PLS / NIRS engine (full surface) over the libn4m C ABI.

nirs4all-methods

nirs4all-methods — portable PLS / NIRS engine (full surface) over the libn4m C ABI.

The wheel bundles the libn4m shared library, so pip install nirs4all-methods is self-contained — no separate native build is required.

import n4m

print(n4m.version())      # project version + ABI, e.g. "1.0.1+abi.1.22.0"
print(n4m.abi_version())  # ABI triple, e.g. (1, 22, 0)

n4m loads libn4m via ctypes.CDLL and exposes a Pythonic Context / Config, the method fit/predict surface, and a scikit-learn-compatible estimator layer (n4m.sklearn). scikit-learn is an optional dependency; the core import n4m works with NumPy alone.

See https://github.com/GBeurier/nirs4all-methods for documentation.