Training a LSTM/any other deep learning model with temporal as well as non temporal attributes
Like you said, you can proceed your temporal data with a recurrent network like LSTM. I suggest you simply concatenate your other features to the output of the LSTM (with return_sequence = False). Then add some dense layers (1 could be enough) : this will output the probability of belonging to your classes.