The code first defines a range of values for the output_dim variable, which will be used to define the size of the data that will be used to train the model. It then Reshapes the original data, where the (-1, output_dim) range will be used to create the new data. Finally, the data is used to train the model.
for output_dim in range(1, p+1):
y_reshaped = y.reshape((-1, output_dim))
# Use the reshaped data to train a model