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From Nick Pentreath <nick.pentre...@gmail.com>
Subject Re: A naive ML question
Date Sun, 29 Apr 2018 09:22:14 GMT
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 <kanth909@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 <jornfranke@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 <kanth909@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!
>> >
>>
>
>

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