📦 nlp-shap

Multimodal explainability for NLP and multimodal models based on Shapley-style cooperative game theory.

Installation

pip install nlp-shap

From source:

git clone https://github.com/Pawlo77/nlp-shap
cd nlp-shap
make install

Requires Python 3.12 and uv.

Runnable Jupyter notebooks in examples/:

Notebook	What it demonstrates
`estimands_toy_game.ipynb`	Shapley vs Banzhaf aggregators, coalition weights, labelled results, manifests, plugin entry points
`masking_views.ipynb`	Token partitioning, absence policies, masked views, mask codec, mask space, plugin registry
`runtime_core.ipynb`	Run archive, coalition dedup, hot LRU cache, async scheduler with bounded concurrency
`exact_estimation.ipynb`	Exact coalition enumeration, estimand delegation, budget guard, plugin resolution
`estimator_comparison.ipynb`	Eight-player cap≤20 benchmark + five-player fraction sweep 0.1–0.5, MC bias analysis

Setup and details: examples/README.md. Embedded walkthroughs: docs/examples.

make install
make check

Run make help for other targets.

Apache License 2.0. See LICENSE.

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