On Thu, Apr 16, 2020 at 05:06:46PM +0100, Edward Cree wrote:
On 16/04/2020 01:00, Sasha Levin wrote:I'd maybe point out that the selection process is based on a neural network which knows about the existence of a Fixes tag in a commit. It does exactly what you're describing, but also taking a bunch more factors into it's desicion process ("panic"? "oops"? "overflow"? etc).Yeah, that's why I found it odd that you were responding in a way that _looked like_ classic confusion of P(A|B) and P(B|A). I just wanted to make sure we had that common ground before launching into a long Bayesian explanation.
Just a question while I process your explanation (thanks for doing it!): wouldn't this be done by the neural network? It learns what a stable worthy commit is (and what isn't), and applies weights based on these findings, right? So if it learns that most non-stable commits don't have a fixes tag, it's likely to use that and "require" other inputs to have enough weight to compensate over a missing fixes tag so that it'll pass the threshold, no? -- Thanks, Sasha
