2012/5/15 Mathieu Blondel <[email protected]>:
>
>
> On Tue, May 15, 2012 at 11:59 PM, David Warde-Farley
> <[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.
>
> Mathieu
>

Hi everybody,

sorry for my late reply - Mathieu is correct: The only purpose of
SequentialDataset is to create a common interface to both dense and
sparse representations. It is pretty much tailored to the needs of the
SGD module (as Andy already pointed out). I think if you want to
support both dense and sparse data you'll have to think about such an
abstraction eventually. Maybe its a good idea to start with a dense
implementation and then we could try to refactor it to support both
dense and sparse inputs using a suitable abstraction.

best,
 Peter

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-- 
Peter Prettenhofer

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