I tried to make a website that people could view this on but I couldn’t figure out how to do it without fully rewriting the neural net in javascript, which will take a very long time (maybe I will do this in a future ship), so instead I made a file called interactive.py which lets people test out the model’s number guessing skills. I also simplified the fitness function a lot as much of the old fitness function was redundant due to previous changes that I made, and it now simply returns -self.guesses. I also made compiled versions of it for windows, Mac, and linux, so that people without python installed can try it out, it’s on the GitHub releases page. Also the pull requests look super sus with thousands of lines of code change but it is because I store the best model in a .pkl which was being changed as I worked on it so makes loads of changes to the commit :(
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