tf-ate 1.0.1

Approximate Text Explaination

Approximate Text Explaination (ATE)

Transformation of TensorFlow text classification models into local interpretable models to explain the base model decisions via effects.

Related work and base for this idea:

• Paper: "Why Should I Trust You?": Explaining the Predictions of Any Classifier by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin
• GitHub: marcotcr/lime

Approximate Local Text Explaination (ALTE)

Approximate Global Text Explaination (AGTE)

MIT License

Copyright (c) 2023 Tjark Prokoph

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