Memory limited

[DongqiShen]

Hi,
Thanks for you paper and code which helped me a lot.
I tried to run the code, but it stoped at
'X_train, y_train, X_test, y_test = data_loader.load_data(seq_len=hparams.max_time_step)'
It remained me that I don't have enough memory.
My pc is ubuntu18.04 with 16GB, and also, I set swap area as 16 GB, but the problem existed still.
Is there any way to solve this without installing a new memory.
Thanks

[MousaviSajad]

Hello, Thank you for your email. One way is to store all folds (k-fold cross-validation) on the disk storage and then load each data fold while you are training the model. Regards, Sajad

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On Wed, Mar 4, 2020 at 8:52 PM dongqi shen ***@***.***> wrote: Hi, Thanks for you paper and code which helped me a lot. I tried to run the code, but it stoped at 'X_train, y_train, X_test, y_test = data_loader.load_data(seq_len=hparams.max_time_step)' It remained me that I don't have enough memory. My pc is ubuntu18.04 with 16GB, and also, I set swap area as 16 GB, but the problem existed still. Is there any way to solve this without installing a new memory. Thanks — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#7>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AD4D7SNIQ7PV4XMCQICNEWDRF4OW3ANCNFSM4LCBETMQ> .