I’m working on big dataset
7 million train and 1 million test and 42 features
I applied an RNN model
I work with Google Colab
When the model reaches training, it stops.
I think, the cause is the RAM is loaded with X (train and test) and Y (train and test)
Do you have any suggested solution?
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