rsteca
rsteca
@Damonhaus To use in Python 2, change the batchify function for this: ```python def batchify(data, bsz): ids = torch.LongTensor([ord(char) for char in data.encode()]) nbatch = ids.size(0) // bsz ids =...
I couldn't reproduce this error. What version of the library are you using? Can you give me a pip freeze of your env?
Maybe something changed with the new version of scikit-learn, I'll see if I have some time to fix this bug.
Can you fix the conflicts so I can merge this? Thanks for the pull request!
That's pretty weird, can you share the code you are using so I can reproduce the problem?
Do you think this is ready for a merge?
Hi @APLytics! I don't have time to implement this feature right now, but all pull requests are welcomed :)
Sorry, I don't have time right now for looking into this. But if someone can figure this out and does a pull request I will gladly merge it.
Hi! Many people have reported having problems with this library in an Anaconda environment. How did you install sklearn-deap?
Maybe you can use a virtualenv environment instead of using anaconda?