Thanks Joel and Mathieu.
I'll start a new project and ask to add a reference in the Wiki.
(hopefully, this week); I don't think all the techniques should be
included, but at least the most popular (ENN, RENN, OSS) / and efficient
ones (SSMA, PSO).
mblondel, you think 'fit_transform' would be bett
+1 to starting a separate project in order to receive early feedback.
Besides popularity and number of citations, an issue is that our API
doesn't currently support instance reduction. We need to decide whether to
introduce a new method (e.g., "reduce" as you did) or use fit_transform (so
far fit_
Hi Dayvid,
For now, a number of projects that follow the scikit-learn interface but
for one reason or another (often just out of scope) are listed at
https://github.com/scikit-learn/scikit-learn/wiki/Third-party-projects-and-code-snippets
.
I would recommend against keeping everything in a scikit
Hi Joel,
Thanks for your feedback. Let me see if I got this straight,
you think I should open a new repository and then add an entry
in the Wiki?
Do you have an example of some other project that did the same?
How do I organize it, do I start a new project or I build a new project
inside my sklea
PS: Kyle, from a brief look, I would summarise it as sampling a small set
of KNN centroids.
On 19 June 2014 12:05, Joel Nothman wrote:
> Hi Dayvid,
>
> Although it could potentially be included in scikit-learn, it looks like
> your components do not require modifying the existing codebase, and
Hi Dayvid,
Although it could potentially be included in scikit-learn, it looks like
your components do not require modifying the existing codebase, and could
be construed as an entirely independent project. This could be referenced
from the Scikit-learn Wiki or similar, without having to decide wh
Hi Kyle,
(sorry for the long answer).
Instance Reduction techniques aims to reduce the amount of data manipulated
in order
to perform a classification/prediction ...
Depending on the approach, they can remove noisy-data and outliers, remove
redundant data, generate new generalized data by combin
Do you have any references for this technique? What is it typically used
for?
On Wed, Jun 18, 2014 at 12:26 PM, Dayvid Victor
wrote:
> Hi there,
>
> Is anybody working on an Instance Reduction module for sklearn?
>
> I started working on those and I already have more than 10 IR (PS and PG)
> al
