Important features list is randomly changing

[GichanLee]

Hello, @marcotcr. I'm so glad to use your anchor. it is a really great work.
but I wanna ask something is not clear to me.
If I repetitively execute AnchorTabularExplainer like below codes, I get different important features list randomly.

rf_explainer_anchor = anchor_tabular.AnchorTabularExplainer(
    ['True', 'False'],
    list(X_train.columns),
    X_train.values, 
    {})
np.random.seed(1)
for i in range(0, 10):
    rf_anchor_importance = list()
    rf_exp_anchor = rf_explainer_anchor.explain_instance(X_test.values[0],
                                                    rf_clf.predict,
                                                    threshold=0.95)
    rf_anchor_importance.append(rf_exp_anchor.exp_map['feature'])
    print(rf_anchor_importance)

[[4, 18, 17]]
[[1, 18, 17]]
[[5, 18, 17]]
[[0, 18, 17]]
[[11, 18, 17]]
[[0, 18, 17]]
[[6, 18, 17]]
[[3, 10, 0]]
[[0, 18, 17]]
[[0, 18, 17]]

(I figured out that 'rf_clf' is fixed and np.random.seed(1) is working)
Did I use it wrongly? or is it working as intended?
If I was using it wrongly, how can I get fixed anchor?
I wanna get most important features ranked by the probabilities.

[GichanLee]

marcotcr/lime#67