Honestly, I'm not sure if i'm wrong but for example:
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/kernel_approximation.py
I'm reasonably sure kernel approximation is from a paper?
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/cluster/_k_means.pyx
K means clustering
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/neighbors/classification.py
This
doesn't seem to ...?
I'm looking at ones that do not look like
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/naive_bayes.py
,
which has a nice list at the bottom.
Please do tell me if i'm completely wrong as that is likely.
As a sidenote, where would you suggest I begin working on the project - I
was thinking of fixing issues listed in the Github Issues tab.
Thanks,
Ronnie
On 28 August 2012 18:21, Robert Layton <[email protected]> wrote:
> On 29 August 2012 08:17, Ronnie Ghose <[email protected]> wrote:
>
>> Where do you guys get your algorithms from? Some algorithms have
>> different variations and I personally don't really see any sources.
>>
>> Thanks,
>> Ronnie
>>
>>
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> Hi Ronnie,
>
> Could you give some examples? The algorithms I've coded have references to
> the original paper, and most algorithms should have them too.
>
> - Robert
>
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