import lime
import lime.lime_tabular

rf = RandomForestClassifier().fit(X_train, y_train)
explainer = lime.lime_tabular.LimeTabularExplainer(np.array(X_train), feature_names=df.drop(['target'], axis=1).columns.values, class_names=rf.classes_, discretize_continuous=True)