Also, isn't MCMC implemented in PyMC quite effectively? I haven't been
following the development of that codebase, but last time I checked it
seemed like there were a lot of interesting things you could do with it re:
probabilistic models
On Wed, Feb 11, 2015 at 10:39 PM, Chris Holdgraf <choldg...@gmail.com>
wrote:
> Also, isn't MCMC implemented in PyMC quite effectively? I haven't been
> following the development of that codebase, but last time I checked it
> seemed like there were a lot of interesting things you could do with it re:
> probabilistic models.
>
> On Wed, Feb 11, 2015 at 10:21 PM, Gael Varoquaux <
> gael.varoqu...@normalesup.org> wrote:
>
>> On Wed, Feb 11, 2015 at 03:55:12PM -0700, Anirudh Acharya wrote:
>> > Is the following a good idea for GSoC 2015.
>>
>> > * Latent Dirichlet Allocation using Markov Chain Monte Carlo
>> > * Extend to do inference with online stream of documents.
>>
>> MCMC no. We ruled against it, as MCMC require techniques that are not
>> used very much in scikit-learn. But there is a pull request implementing
>> the online non MCMC Latent Dirichlet Allocation algorithm.
>>
>> Gaël
>>
>>
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leadership blogs to news, videos, case studies, tutorials and more. Take a
look and join the conversation now. http://goparallel.sourceforge.net/
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