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(Sorry if creating a new issue is not the best way to communicate ... is there a preferred method?)
I have been working in pylearn2 for some time now and I am experiencing frustration in its limitations regarding hdf5 datasets. I'm very interested in using fuel for managing my datasets and I was excited to see in the documentation that there is a future direction to integrate fuel and pylearn2. However, I'm a little impatient to start taking advantage of fuel :).
Do you have any recommendations or prototypes towards pylearn2 integration? Seems like communication through the pylearn2 iterator is key. I started to hole-fill the fuel H5PYDataset so that it implemented a pylearn2-capable iterator, but it's turning out to be a big job and I'm not 100% sure that it's the right direction. At this point I'd like to hear your thoughts before I start cowboy coding a fork. I looked in the branches/forks and didn't immediately find anything relevant. Thanks!
The text was updated successfully, but these errors were encountered:
(Sorry if creating a new issue is not the best way to communicate ... is there a preferred method?)
I have been working in pylearn2 for some time now and I am experiencing frustration in its limitations regarding hdf5 datasets. I'm very interested in using fuel for managing my datasets and I was excited to see in the documentation that there is a future direction to integrate fuel and pylearn2. However, I'm a little impatient to start taking advantage of fuel :).
Do you have any recommendations or prototypes towards pylearn2 integration? Seems like communication through the pylearn2 iterator is key. I started to hole-fill the fuel H5PYDataset so that it implemented a pylearn2-capable iterator, but it's turning out to be a big job and I'm not 100% sure that it's the right direction. At this point I'd like to hear your thoughts before I start cowboy coding a fork. I looked in the branches/forks and didn't immediately find anything relevant. Thanks!
The text was updated successfully, but these errors were encountered: