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From: "Farooq Azam" <fazam@ieee.org>
Newsgroups: comp.soft-sys.matlab
Subject: NN Object Size - NN Toolbox V6.0 (R2008a)
Date: Tue, 6 Jan 2009 19:37:02 +0000 (UTC)
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Hello,
Recently, while working on project that requires a relatively large training set, MATLAB kept on running out of memory. On further analysis, I noticed that the size of neural network object created with 'newff' command was abnormally large and it appears that it is due to the fact that NN object contains the input data set as one of its subobject structures.
--
  predictive_model                         1x1                 69797369  network             
  training_input_data_set           50x170910            68364000  double 
  
  >> predictive_model.inputs{1,1}
  
  ans = 
  
       exampleInput: [50x170910 double]
-- 
Is there an option disable this feature of an NN object? This feature instead of helping to ease the burden of MATLAB memory utilization is becoming a contributing factor.

Also, am I missing soemthing or 'plotroc' or 'roc' functions can not actually calculate area under the ROC curve?

Thanks in advance for all the help.
Farooq