Thanks Gilles

This is a new feature, but extends an existing class. Should I target
version 3.7 or version 4.0 of commons.math?

By the way, what are the key differences in version 4 of commons.math?

Thank you,
 - Daniel

On 16 May 2016 at 17:48, Gilles <gil...@harfang.homelinux.org> wrote:
> Hi.
>
> On Mon, 16 May 2016 14:40:06 +0100, Daniel Winterstein wrote:
>>
>> Hello,
>>
>> I was doing some work with Kalman Filters recently, and I noticed the
>> implementation in commons.math is missing a couple of features, namely
>> smoothing and model-fitting.
>>
>> Would it be good to add these?
>
>
> Sure.
>
>> A little bit more on the model and the proposed features:
>> The Kalman Filter is a model for time-series data.
>> The version in commons.maths can do prediction (i.e. given the state
>> now, predict the next state).
>> The algorithm can also do smoothing (given a sequence of data, perhaps
>> with gaps, estimate the most likely state at each step) -- but this
>> version doesn't have an implementation.
>> Also, given a time-series dataset, you can fit a Kalman Filter. There
>> isn't a precise solution, but using expectation maximisation works
>> well.
>>
>> I am new to the Apache Commons mailing list -- please forgive me if
>> this is the wrong way to go about things.
>
>
> This is the right way.
> All significant changes/additions to the code must be decided on here.
>
> Then the implementation details can be discussed within a dedicated issue
> on the bug-tracking system:
>   https://issues.apache.org/jira/browse/MATH
>
>
> Thanks in advance for your contributions,
> Gilles
>
>
>>
>> Kind regards,
>>  - Daniel
>
>
>
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-- 
--------------------------------------
Dr Daniel Winterstein
Director
Edinburgh            +44 (0)772 5172 612
http://sodash.com   http://sogrow.co.uk

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