thanks for this excellent library and the nice tutorial videos; these things make it really exciting to learn about Recurrent Neural Nets. I wanted to try Passage in Python 3 for the Crowdflower kaggle challenge (just to try it out, the dataset is too small I think), so I needed to add py3 support to it. Here is what I did:
Fixed relative imports to support py3.
Added simple test for TravisCI.
Added register.py file to automatically generate README.rst and upload to pypi.
Added pep8 linter and tox.ini config.
Not sure if this should go to the master or dev branch, so I am just dropping this here for the moment. If you have any question about the above changes, I would be happy to discuss in the comments.
Hi guys,
thanks for this excellent library and the nice tutorial videos; these things make it really exciting to learn about Recurrent Neural Nets. I wanted to try Passage in Python 3 for the Crowdflower kaggle challenge (just to try it out, the dataset is too small I think), so I needed to add py3 support to it. Here is what I did:
Not sure if this should go to the master or dev branch, so I am just dropping this here for the moment. If you have any question about the above changes, I would be happy to discuss in the comments.
Best, Christoph