Joe Davison
Joe Davison
Thanks! That's definitely something that I've wanted to get added. I think the thing we could do that would make the most sense would be to allow the user the...
It should be very straightforward. Just pass in the output layer to the `GenomeHandler` initializer and then at the end of the decode method add that instead of the softmax....
Mmm I'm not sure as I've never done a regression problem with Keras. I would guess that you would just make sure to use loss instead of accuracy as your...
Right, so I guess the user also needs to control the parameters of the `compile` function in addition to the output layer - or at least just the loss function...
I haven't myself - I would go for it unless @ClimbsRocks has.
That might be a good approach, depending on exactly how you're doing it. It may be easier to just pass it as a parameter, but your way would be cleaner...
I have a simple PR I can commit tonight once I work out a few kinks. It won't do anything with added LSTM layers, just allow for regression, but that...
As I've said, I'm not presently able to actively work on this project, so short of occasional PRs from others, it is not being actively developed. Check out tpot for...
Hey, sorry for the belated response! You can check it out here: https://huggingface.co/spaces/joeddav/zero-shot-demo/blob/main/app.py
> Nice blog - I only had time to skim through the high level of each method. Which method does the transformers pipeline use? Thanks! The pipeline uses the NLI...