I predict for 1, 2, and 3 steps forward in time with the same lookback_len. Why predictions for first steps are different in all three predictions? It is the same point in time...
Do first prediction depends on consecutive ones like first token depends on consecutive ones in NLP due to approaches like beam search?
I predict for 1, 2, and 3 steps forward in time with the same lookback_len. Why predictions for first steps are different in all three predictions? It is the same point in time... Do first prediction depends on consecutive ones like first token depends on consecutive ones in NLP due to approaches like beam search?
Length=1 result: [[[-0.13998163]]] (1, 1, 1)
Length=2 result: [[[-0.03886282] [ 0.41442168]]] (1, 2, 1)
Length=3 result: [[[ 0.39561594] [-0.61296153] [ 0.08078277]]] (1, 3, 1)