I want to build an LSTM-based model (where all the outputs are the same features as the input, four inputs, and four outputs) to forecast the next measurement of a sensor node. The scenario is: after receiving the first input (a multivariate data point), the model predicts the second, then gets the second input and predicts the third based on the first and the second values, and so on.