[SciPy-dev] MCMC, Kalman Filtering, AI for SciPy?

[eric jones]

Where should these live? 

monte carlo and markov chain might fit in scipy.stats?
kalman in scipy.signal?
AI in... scipy.ai?

Or should they all come in as new packages?

Also, Chris, how are the tests and docs for these packages?

eric

Travis Oliphant wrote:

> chris at fisher.forestry.uga.edu wrote:
>
>> For the past couple of years, I have been maintaining a package called
>> PyMC (http://pymc.sourceforge.net) which provides a general Markov chain
>> Monte Carlo sampler (Metropolis-Hastings), linear and non-linear Kalman
>> filtering algorithms and several reinforcement learning algorithms for
>> AI applications. To date, it has been used mostly for ecological
>> modeling applications, but is far more general than that. This package
>> currently relies on SciPy, particularly for such tasks as plotting, and
>> uses f2py extensively.
>>
>> I am wondering if there is interest in integrating such functionality
>> into SciPy. If so, I would be happy to contribute, integrate and
>> maintain the code under the auspices of the SciPy project. If not, I am
>> equally content to continue maintaining PyMC separately. I encourage
>> those interested to check out PyMC and let me know if it would be
>> worthwhile to add any of this to SciPy.
>>
>>  
>>
>
> Such additions would be fantastic.  I share Robert's enthusiasm.
> I would love to see these in SciPy.
>
> -Travis
>
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