The MaxHistoryTrackerFeaturizer
featurizer for instance creates a feature vector (num_unique_turns, max_history, num_input_features)
-
How to know what each value of
num_input_features
dimension represents? eg: X[0,0,1] represents certain entity label? Y[0] represents certain action label? -
Does
num_unique_turns
mean number of examples in training dataset?