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1. What If We Could Easily Explain Overly Complex Models?

   Generating counterfactual explanations got a lot easier with CFNOW, but what are counterfactual explanations, and how can I use them?

   2023-09-30 Tags: machine learning, explainability, feature selection, lime, shap, counterfactual, cfnow, xai by klotz
2. Shapash makes Machine Learning models understandable by everyone | Towards AI

   2021-03-17 Tags: shapash, explainability, shap, lime, machine learning, svm by klotz
3. LIME vs. SHAP: Which is Better for Explaining Machine Learning Models? | by Dario Radečić | Dec, 2020 | Towards Data Science

   2020-12-15 Tags: lime, shap, explainability, machine learning by klotz
4. LIME: How to Interpret Machine Learning Models With Python | by Dario Radečić | Nov, 2020 | Towards Data Science

   2020-11-29 Tags: explainability, lime, machine learning by klotz
5. Knowing What and Why? — Explaining Image Classifier Predictions

   2020-02-21 Tags: machine learning, explainability, lime by klotz
6. Idea Behind LIME and SHAP - Towards Data Science

   2020-01-05 Tags: machine learning, explainability, lime, ontology, linear regression, shapley functions, shap by klotz
7. Creamy Cilantro Lime Sauce - Cooking Classy

   Sauce
   1/2 cup natural sour cream
   2 green onions , end trimmed, roughly chopped
   1/2 cup packed cilantro (mostly leaves, some stem)
   1 1/2 Tbsp fresh lime juice
   1 clove garlic , sliced

   2018-09-25 Tags: recipe, cilantro, lime, sauce by klotz

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