31–40 of 96 posts
This is really cool. Can anyone recommend any particularly good/cogent Simple Caveman explanations of how Bayesoan theory/Monte Carlo simulation work?
Direct link to Github: https://github.com/getguesstimate/guesstimate-app
This is a really great interface, and cool idea. You might consider upping the run count, or maybe narrowing your bins for the visualization. Either way, it's great to see more tools embracing probability and uncertainty like this.
This is a really great interface, and cool idea. You might consider upping the run count, or maybe narrowing your bins for the visualization. Either way, it's great to see more tools embracing probability and uncertainty like this.
I think that this works fine for small models, which is much of what exists now. As there are larger models, I'd eventually like to offload calculations to AWS Lambda or something similar, so we can do far more.
Earlier quoted context omitted.
I believe it would be handy, but it depends on the size. Right now I think it's reasonably fast and intuitive for models of around 3 to 40 metrics(variables). If you have more it could get slower, especially if many of them have to be recalculated at once. I suggest trying it out. If nothing else, you may be able to begin with very simple models of the most important variables.
It was around 6-8 metrics so i guess it would be fine?
Feel free to play with it. You can edit it, just not save it. (I recently realized this was not obvious to most people)
I wasn't expecting this to go on hnews yet, but happy to take any questions!
I wasn't expecting this to go on hnews yet, but happy to take any questions!
<3 this! Are there any plans for some type of export utility, e.g. some type of JSON serialization of a finished model?