As I am working with time series data, the information cannot be shuffled.
Data volume is to big and therefore, I will use keras.train_on_batch since loading full dataset into RAM memory is not feasible.
Spliting the data into train, test and validation folders would be helpfull. I am trying to use the split-folder library, but I could not identify how to avoid the shuffling process. Is it possible de-activate the shuffle?
As I am working with time series data, the information cannot be shuffled. Data volume is to big and therefore, I will use keras.train_on_batch since loading full dataset into RAM memory is not feasible. Spliting the data into train, test and validation folders would be helpfull. I am trying to use the split-folder library, but I could not identify how to avoid the shuffling process. Is it possible de-activate the shuffle?