Hi, everyone!
In LSTM of PyTorch, if it is time series data, does time_step equal to input_size? For example, use the Nasdaq index of 1000 days as a training set, divide them into 10 batches, and predict the index of one day by the indexs of 30 days before it. Are the parameters just like below:
batch_size=100, time_step=30, input_size=30?
Thank you:)