Maybe not necessarily what you want but you could, based on trans attributes, find out initial state and end state and give it to a decision tree to figure out if you if based on these attributes you can oreditc tinal stage Again, not what you asked but an idea to use ml for your data? Kr
On Sun, Apr 29, 2018, 10:22 AM Nick Pentreath <nick.pentre...@gmail.com> wrote: > One potential approach could be to construct a transition matrix showing > the probability of moving from each state to another state. This can be > visualized with a “heat map” encoding (I think matshow in numpy/matplotlib > does this). > > On Sat, 28 Apr 2018 at 21:34, kant kodali <kanth...@gmail.com> wrote: > >> Hi, >> >> I mean a transaction goes typically goes through different states like >> STARTED, PENDING, CANCELLED, COMPLETED, SETTLED etc... >> >> Thanks, >> kant >> >> On Sat, Apr 28, 2018 at 4:11 AM, Jörn Franke <jornfra...@gmail.com> >> wrote: >> >>> What do you mean by “how it evolved over time” ? A transaction describes >>> basically an action at a certain point of time. Do you mean how a financial >>> product evolved over time given a set of a transactions? >>> >>> > On 28. Apr 2018, at 12:46, kant kodali <kanth...@gmail.com> wrote: >>> > >>> > Hi All, >>> > >>> > I have a bunch of financial transactional data and I was wondering if >>> there is any ML model that can give me a graph structure for this data? >>> other words, show how a transaction had evolved over time? >>> > >>> > Any suggestions or references would help. >>> > >>> > Thanks! >>> > >>> >> >>
