If people were interested in putting together a separate package in the style
of the scikit collecting metric learning algorithms with a common API, I would
love to contribute to that too.
-Robert
On Apr 21, 2013, at 3:35 PM, Robert McGibbon wrote:
> This would be AWESOME.
>
> I have code implementing Shen, C.; Kim, J.; Wang, L. Scalable large-margin
> Mahalanobis distance metric learning. IEEE Trans. Neural Networks 2010, 21,
> 1524–1530, but it yeah, it's not up to sklearn standards either.
>
> -Robert
>
> On Apr 21, 2013, at 12:49 PM, Kenneth C. Arnold wrote:
>
>> I have implemented a few metric learning algorithms myself. The quality of
>> that code is nowhere near sklearn standards, but I may have some incentive
>> to improve it soon.
>>
>> -Ken
>>
>>
>> On Sun, Apr 21, 2013 at 3:42 PM, John Collins <johnsso...@gmail.com> wrote:
>> Has anybody or does anybody have plans to implement metric learning
>> algorithms like ITML in sklearn?
>>
>> If not, I would like to consider working on this.
>>
>> Thanks,
>>
>> John
>>
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