+1 for what Gaël and Arnaud say.
In addition to that, I don't know if a distinction between two groups of
metrics is necessarily straightforward. At which number of properties would
one draw the line? Triangular inequality? Is KL divergence an "evaluation
metric" or a "distance metric"? It almost seems to be an opinion question.
Michael
On Wed, Oct 15, 2014 at 10:49 AM, Arnaud Joly <arnaud4...@gmail.com> wrote:
> I totally agree with Gael.
>
> I would welcome improvements in the narrative documentation
> of http://scikit-learn.org/stable/modules/metrics.html about
> distances and kernels. It feels empty compare to
> http://scikit-learn.org/stable/modules/model_evaluation.html
>
> Best regards,
> Arnaud
>
> On 14 Oct 2014, at 23:08, Gael Varoquaux <gael.varoqu...@normalesup.org>
> wrote:
>
> On Wed, Oct 15, 2014 at 06:53:35AM +1100, Robert Layton wrote:
>
> Currently the word "metrics" is overloaded with at least two type of
> algorithms in that module. The first is evaluation metrics and the
> second is functions dealing with distance metrics.
>
>
> Please, let's just try as much as possible to avoid such changes.
>
> The goal of such a change is to make things prettier, or more logical,
> according to a certain logic. The benefit is that, to certain, it will
> make more sens. What's important to keep in mind, is that most users
> don't understand the fine details of the acceptance of the names, and
> that none of the module names make a huge amount of sens. Documentation
> and Google searchs is what really sorts users out.
>
> By changing module names, or any kind of API, we are making these Google
> searchs unreliable, so we are actually making it harder for the users.
>
> In addition, we are breaking people's code. Yes we have a deprecation
> cycle, but it's costly for everybody to follow our changes.
>
> Thus, for an API change (and that's an API change), there needs to be
> clear benefits, IMHO.
>
> Gaël
>
>
>
>
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