Hi everyone, I'm a novice of MATLAB and programming in general and I'm doing an anomaly detection project through LSTM neural networks.
My problem is at the origin of the project since I can't understand how to treat the dataset I want to use.
Being a .csv file, this is represented, inside MATLAB, with a table, but reading many examples on LSTM, I noticed that all the datasets used were never table but array or cell array.
I would like to ask you if it is possible to use a table in this kind of problem or if the dataset should be transformed first by some function and if so which ones (table2cell?).
I leave you a picture of what the table looks like once opened in MATLAB, in this one you can see a column that represents the day and time of the detection, 52 sensors and a final column that represents the state of the system and that is the target of our problem:
Obviously it is not a 4x9 matrix but 220000x55, reduced only as an example.
Thank you to everyone who would like to help me.
