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privfp-experiments

Home
Background
Setup
Open LLMs (Generate)
Open Extraction (Structure)
Standardisation (Structure)
(Py)CorrectMatch (Scorer)
SHAP (Explainer)

This is an experimental repository and is a work in progress.

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privfp-experiments

Home
Background
Background
Setup
Setup
Open LLMs (Generate)
Open LLMs (Generate)
Open Extraction (Structure)
Open Extraction (Structure)
- Open-source Named-Entity Recognition Models
- De-identification Methods
Standardisation (Structure)
Standardisation (Structure)
- Standardising Entity Types and their Values
- Standardising with Knowledge Graphs
(Py)CorrectMatch (Scorer)
(Py)CorrectMatch (Scorer)
- What is Correct Match?
- How does Correct Match Work?
SHAP (Explainer)
SHAP (Explainer)

4. Additional Resources

Towards Data Science: One Feature Attribution Method to (Supposedly) Rule Them All: Shapley Values
Kaggle: SHAP Values

How does SHAP Work and can be Applied?

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