Hi Mathieu,
i did not understand why u have decided to do not include these sampling
techniques.
These sampling technique are used to select small representative population of
objects from a sample. They work on a multidimensional space of norm , so a
simple euclidean space.
What i think abo
There was a thread on the mailing-list a while ago on instance reduction
methods.
It was decided to not include such methods for the time being as changing
n_samples is not supported by transformers or pipelines.
It is also not clear yet how such methods would play with grid search, for
instance.
Hi Giuseppe,
Is there a specific highly-cited reference for these methods. I did a
quick search on Google scholar, and it seemed that I could mostly find
them used in chemistry.
Cheers,
Gaël
On Tue, Aug 19, 2014 at 12:05:13PM +0200, Giuseppe Marco Randazzo wrote:
> Hello,
> i'm interested to c
Hello,
i'm interested to contribute in scikit learn implementing some
algorithms to make an optimal selection of objects in a N-dimensional
space. These techniques are used when sampling is needed in large data
and when the sampling must be done with a specifi criterion:
- Most Descriptive Com
