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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?
The text was updated successfully, but these errors were encountered:
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?
The text was updated successfully, but these errors were encountered: