On 10/15/2014 04:59 AM, Michael Eickenberg wrote:
> +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
> dive
+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
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,
Google is nice and I certainly use it, but I also often use
- IPython autocomplete
- Browsing the file system
and when they work, they are less of a distraction than Google.
So having *casual user discoverable* categories really is an actual
benefit. Of course breakage is cost, so changes should
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
We had a plan to move out the model selection stuff. Presently that talked
about moving scorers, but not necessarily the metrics underlying them
On 15 October 2014 07:16, Lars Buitinck wrote:
> 2014-10-14 21:53 GMT+02:00 Robert Layton :
> > Currently the word "metrics" is overloaded with at
2014-10-14 21:53 GMT+02:00 Robert Layton :
> 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.
>
> My suggestion is to:
> 1) Move the evaluation metrics to a
