Concating 3 multivariate sequences as an input to 1 model?

I’ve been trying to figure it out for about a week now but I keep getting ‘Data cardinality is ambiguous’. I’m creating a sequential model for each multivariate sequence, then concating the .output from each of those models as the input to a Keras model. I’m also feeding the inputs in as a list of each .input from each model.

Even when I make the last layer of each sequence’s model a dense layer with the same amount of units, the cardinality error still complain’s about concating different sequence lengths.

Any ideas or working code appreciated

submitted by /u/Techguy13
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