Is it possible to get the label names from an sklearn SGDClassifier model that is loaded from a pickle file?
model = pickle.load(open("saved_model.pkl", 'rb'))
y_pred = model.predict(x)
Because all the labels may not be present in the input vector, x, how can I know what the possible labels are?
model.classes_ will show the labels in the model.