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
On 02/03/2012 01:59 PM, Mathias Verbeke wrote:
Hi Andreas,
You would have to add it to the "fit" method of SVC, not GridSearchCV.
How can this be done in the digits example, since there's only one fit
there, namely the one of GridSearch?
> Does this mean class weighting isn't possib
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
