In the PR we kinda decided not to credit them.
I tried reading the main paper and the math is like... really bad.


On 05/07/2015 01:17 AM, Sebastian Raschka wrote:
> It's a little bit off-topic, and I am really not that much into the 
> literature to be a judge of that, but just a few days ago there was formal 
> letter of complaint against ELMs: 
> http://theanonymousemail.com/view/?msg=ZHEZJ1AJ
> that I thought you might find interesting.
>
>
>> On May 7, 2015, at 1:10 AM, Joel Nothman <joel.noth...@gmail.com> wrote:
>>
>> What Sebastian and Ronnie said. Plus: there are multiple off-the-shelf 
>> neural net pull requests in the process of review, notably those by Issam 
>> Laradji for GSoC 2014. Extreme Learning Machines and Multilayer Perceptrons 
>> should be merged Real Soon Now.
>>
>>
>> On 7 May 2015 at 14:58, Ronnie Ghose <ronnie.gh...@gmail.com> wrote:
>> neural nets are already well supported in other python libraries and don't 
>> fit the current transformer model that scikit-learn uses
>>
>> On Thu, May 7, 2015 at 12:55 AM, Sebastian Raschka <se.rasc...@gmail.com> 
>> wrote:
>> I am not one of the core developers, just a typical user, but although I 
>> think that neural nets would be a nice addition, I have to admit that I 
>> wouldn't count them as top priority. I think that in applications, neural 
>> networks require far more flexibility for tweaking than the "classic" 
>> off-the-shelve learning algorithms currently implemented in scikit-learn. I 
>> think that it really requires a lot of planning to implement them in a way 
>> that allows a user certain flexibility. To me, neural nets are more of an 
>> "research tool" in contrast to the currently implemented algos in 
>> scikit-learn. I really would like to see some way of implementing frameworks 
>> for neural networks in some useful way in scikit-learn, but I can understand 
>> that it would really require a different API, a lot of planning, and a lot 
>> of work. Also, there are many attempts to implement neural nets already, 
>> like pylearn2, lasagne, and all the other theano wrappers
>>
>>
>>
>>
>>> On May 6, 2015, at 11:15 PM, 赵孽 <snakehunt2...@gmail.com> wrote:
>>>
>>> I used to seeking neural network algorithms in sklearn, but I just found a 
>>> RBF in it.
>>> There are plenty of Neural Network algorithms, why dose we only support RBF 
>>> which is not even a typical neural network ?
>>> I thought the neural networks should be the largest family amount sklearn 
>>> algoritms, but it is far smaller than embedings, far smaller than SVMs.
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