[R] bnlearn and very large datasets (> 1 million observations)

[Prof Brian Ripley]

On 30/11/2013 04:52, Jejo Koola wrote:
> Hi
>
> Anyone have experience with very large datasets and the Bayesian Network
> package, bnlearn?  In my experience R doesn't react well to very large
> datasets.

Maybe, but a million is not 'very large': R handles billions of 
observations without problems on machines with commensurate resources.

Package bnlearn is not 'R'.  Your questions are not about R itself and 
should be addressed to the package maintainer.

> Is there a way to divide up the dataset into pieces and incrementally learn
> the network with the pieces?  This would also be helpful incase R crashes,
> because I could save the network after learning each piece.
>
> Thank you.
>
> 	[[alternative HTML version deleted]]
>
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-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
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