On 05/15/2012 05:16 PM, Mathieu Blondel wrote:
I am not sure if we want to support sparse data. I have no experience with using MLPs on sparse data. Could this be done efficiently? The weight vector would need to be represented explicitly and densely, I guess.On Tue, May 15, 2012 at 11:59 PM, David Warde-Farley <[email protected] <mailto:[email protected]>> wrote:I haven't had a look at these classes myself but I think working with raw NumPy arrays is a better idea in terms of efficiency.Since it abstracts away the data representation, SequentialDataset is useful if you want to support both dense and sparse representations in your MLP implementation.
Any ideas?
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