On Wed, Apr 11, 2012 at 10:55:34AM +0200, Jean-Louis Durrieu wrote:
> I was thinking it would be a good idea to include in gmm.py such a
> mechanism.
Core sets are a very beautiful idea from the theoretical standpoint and
I'd love to have them in the scikit. We had even added them in the list
of i
Le 11 avril 2012 10:55, Jean-Louis Durrieu a écrit :
> Hi all,
>
> On Feb 7, 2012, at 8:47 AM, Olivier Grisel wrote:
>
>> 2012/2/6 Shishir Pandey :
>>>
>>> I am working with a dataset which too big to fit in the memory. Is there a
>>> way in scikits-learn to sub sample the existing dataset maintai
Hi all,
On Feb 7, 2012, at 8:47 AM, Olivier Grisel wrote:
> 2012/2/6 Shishir Pandey :
>>
>> I am working with a dataset which too big to fit in the memory. Is there a
>> way in scikits-learn to sub sample the existing dataset maintaining its
>> properties so that I can load it in my RAM?
>
> We
2012/2/6 Shishir Pandey :
> Hi
>
> I am working with a dataset which too big to fit in the memory. Is there a
> way in scikits-learn to sub sample the existing dataset maintaining its
> properties so that I can load it in my RAM?
We don't have any "smart" subsampler in scikit-learn (like a GMM cor
Hi
I am working with a dataset which too big to fit in the memory. Is there a
way in scikits-learn to sub sample the existing dataset maintaining its
properties so that I can load it in my RAM?
with regards,
--Shishir Pandey
