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README.md

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 This project is an extension of LimeOut[1]. It aims at tackle process fairness for classification, while keeping the accuracy level (or improving). 
 More precisely, ExpOut incorporates different explainers.
 
+Classifiers available: 
+* Multilayer Perceptron
+* Logistic Regression
+* Random Forest
+* Bagging
+* AdaBoost
+* Gaussian Mixture
+* Gradiente Boosting
+
+
+Explainers
+* LIME
+* Anchors
+
+# Example
+`runner --data german.data --trainsize 0.8 --algo mlp --cat_features 0 2 3 5 6 8 9 11 13 14 16 18 19 --drop 8 18 19`
+
 # References 
 [1] Vaishnavi Bhargava, Miguel Couceiro, Amedeo Napoli. LimeOut: An Ensemble Approach To Improve Process Fairness. 2020. ⟨hal-02864059v2⟩