[mlpack-svn] [MLPACK] #300: allknn fails for mnist8m dataset

[MLPACK Trac]

#300: allknn fails for mnist8m dataset
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 Reporter:  rozyang  |        Owner:     
     Type:  defect   |       Status:  new
 Priority:  major    |    Milestone:     
Component:  mlpack   |     Keywords:     
 Blocking:           |   Blocked By:     
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 I tried to build KNN for the mnist8m dataset (a larger version of MNIST,
 with 8 million samples). The dataset is available at

 http://ml.nec-labs.com/download/data/mnist8m/


 % allknn -r mnist8m.csv -n mnist8m_3nn.csv -d distances_out.csv -k 3 -v
 [INFO ] Loading 'mnist8m.csv' as CSV data.  Segmentation fault

 The same procedure works for MNIST with 70000 samples. I am wondering
 whether there is some size limit in allknn. Or is it simply constrained by
 memory? Currently I use 16G RAM. I am using mlpack version 1.0.5.

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Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/300>
MLPACK <www.fast-lab.org>
MLPACK is an intuitive, fast, and scalable C++ machine learning library developed at Georgia Tech.