I have got the results of LimeTabularExplainer
but I got them in html format
like this
I only want the weight of each feature to be in a table or dataframe that i can store in a database later
Here is the code that I use
I wonder if there is a method I can extract the weights in a dataframe?
explainer = LimeTabularExplainer(X_train.values, feature_names=X_train.columns, verbose=True, mode='classification')
i = 0 # index of the instance to be explained
exp = explainer.explain_instance(X_test.values[i], clf.predict_proba, num_features=100)
exp.show_in_notebook(show_table=True)
exp.save_to_file("LIME.html")
