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! >> > >> > >
