[scikit-learn] Cross-validation & cross-testing

[Joel Nothman]

Hi Rain,

I would suggest that you start by documenting what your code is meant to do
(the structure of the Korjus et al paper makes it pretty difficult to even
determine what this technique is, for you to then not to describe it in
your own words in your repository), testing it with diverse inputs and
ensuring that it is correct. At a glance I can see at least two sources of
bugs, and some API design choices which I think could be improved.

Cheers,

Joel

On 5 June 2017 at 07:04, Rain Vagel <rain.vagel at gmail.com> wrote:

> Hey,
>
> I am a bachelor’s student and for my thesis I implemented a cross-testing
> function in a scikit-learn compatible way and published it on Github. The
> paper on which I based my own thesis can be found here:
> http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0161788.
>
> My project can be found here: https://github.com/RainVagel/
> cross-val-cross-test.
>
> Our original plan was to try and get the algorithm into scikit-learn, but
> it doesn’t meet the requirements yet. So instead we thought about maybe
> having it listed in the “Related Projects” page. Is it possible for
> somebody to take a look and give any feedback?
>
> Sincerely,
> Rain
>
>
>
>
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