× ⚠️ You are reading the development version documentation.
Read here the documentation of the last stable release.

Tensor plugin

The spectrochempy-tensor plugin provides tensor decomposition classes backed by TensorLy. Keeping these algorithms in a plugin lets the core package remain independent from tensor-specific dependencies while preserving integrated access when the plugin is installed.

Install

pip install spectrochempy[tensor]

or directly:

pip install spectrochempy-tensor

Use

import spectrochempy as scp

model = scp.tensor.CP(n_components=2)
model.fit(dataset)

The historical scp.CP alias is kept as a deprecated compatibility path. New code should use scp.tensor.CP.

Extensibility

Tensor decomposition implementations live under spectrochempy_tensor.decompositions. Shared bridges between TensorLy objects and SpectroChemPy datasets should live under spectrochempy_tensor.adapters so future classes such as Tucker or TensorTrain can reuse them without adding tensor concepts back to the core package.