Hello,
For time related problems like, for example, stock prediction:
Let’s say we have 300 days of data, 10 features, and one target: the price.
Why, for the training, we only need the price of the 300th day?
I know this is the way LSTM models work, but wouldn’t it be useful to take into account the price of the 299 other days for the model?