I have training set of 2.4M data with 100K dimension.
When I load the data into SupervisedDataSet using addSample(), it calls MemoryError with only 130K data loaded.
Is there any method to load really big data onto SupervisedDataSet?
MemoryError in loading Pybrain SupervisedDataSet
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