There is a kind of machine learning problem called outlier detection. I think sciki-learn library is a good starting point if we want to use ML techniques. But in our case, I feel the definition of “abnormal” varies on different personal situations. It might be tricky to formulate the problem properly.
On Tue, Jan 23, 2024 at 21:24 Red S <redstre...@gmail.com> wrote: > 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 > <https://groups.google.com/d/msgid/beancount/58ec4e60-530f-4055-990b-03e374251a29n%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- 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/CACDkcs-w4K8p3a2v_k2sCbhJOvGd4%2Bwm%2B3H8em5fJnS8xO7%2B1w%40mail.gmail.com.
