Debugging - new to Deeep Cognition

Hi all,
I am totally new to machinelearning, and am trying to test a simple model for sales data. This is my model. My data input looks like this:

My model consists of an input layer (none, 213) --> Feeds into a LSTM (none, 1) which ultimately feeds into the output layer (none, 1).

When trying to train the model I get the error “[Errno 22] Invalid argument”

What am I doing wrong?

For LSTM your input data should be 3-dimension
1st dim :- Total number of rows
2nd dim:- Total number of time stamps
3rd dim :- Total number of feature in 1 dimension.
I don’t think this is a sequential dataset so you can use Dense layer instead of LSTM for solving your problem.
Thank you