Definitely! That's what I had in mind. Would you or others on this list have experience in how to frame the problem from a deep learning classification problem, what tools/libraries to use, and such? Pointers appreciated.
On Tuesday, January 23, 2024 at 8:08:31 AM UTC-8 char...@gmail.com wrote: Sounds like a good opportunity for deep learning classification problem. On Friday, January 19, 2024 at 11:45:35 AM UTC+1 Red S wrote: I'm curious, has anyone setup Beancount scripts or reports to flag expenses that might need further attention? The situation that made me think about this is a quarterly bill that doubled multiple times after years of being stable, which is an obvious red flag. Unlike in the past, virtually of my Beancount interactions are highly automated, which combined with the fact that time is at a premium these days, causes me to miss details like this. In this particular case, a rule to flag expenses that deviate from their norm over a certain time period (monthly, annually) might be simple to write, but I was wondering for a more general, perhaps fancier solution that would learn to distinguish what's normal and call attention to what's not, as rules based solutions tend to be incomplete and require constant fiddling. -- You received this message because you are subscribed to the Google Groups "Beancount" group. To unsubscribe from this group and stop receiving emails from it, send an email to beancount+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/beancount/58ec4e60-530f-4055-990b-03e374251a29n%40googlegroups.com.
