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faq:how_can_i_preprocess_a_dataset_that_is_too_large_to_fit_into_memory [2012/06/24 16:51]
85.223.67.170 [How can I preprocess a dataset that is too large to fit into memory?]
faq:how_can_i_preprocess_a_dataset_that_is_too_large_to_fit_into_memory [2017/08/17 11:21] (current)
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 ===== How can I preprocess a dataset that is too large to fit into memory? ===== ===== How can I preprocess a dataset that is too large to fit into memory? =====
  
-If your dataset is too large to fit into memory at once, you can preprocess one channel at a time combined with **[[:​reference:​ft_resampledata]]**. After downsampling each channel, you can combine ​all channels ​again into a normal multi-channel ​dataset+If your dataset is too large to fit into memory at once, you can preprocess one channel at a time With **[[:​reference:​ft_preprocessing]]**,​ immediately ​combined with **[[:​reference:​ft_resampledata]]**. After gathering all downsampled channels, you can combine ​them again into a normal multi-channel ​data structure
  
 In summary, the code would look like this In summary, the code would look like this