I have already made an implementation of the concordance correlation coefficient. I can also make one for Pearson, write up some examples that shows the difference between them and then make a pull request.
2015-09-08 16:15 GMT+01:00 Andreas Mueller <[email protected]>: > I'm also +1 on Pearson, and unsure about concordance ;) > > > > On 09/08/2015 10:43 AM, Mathieu Blondel wrote: > > Maybe I misunderstood Alex's comment but I thought he meant (Pearson) > correlation. > Alex, when you mentioned brain imaging, did you mean Pearson correlation > or concordance correlation? > I can't comment on concordance correlation as I was not familiar with it. > > On Tue, Sep 8, 2015 at 3:12 PM, Andreas Mueller <[email protected]> wrote: > >> >> >> On 09/08/2015 06:42 AM, Mathieu Blondel wrote: >> >>> Pearson correlation between y_true and y_pred is also a standard >>> evaluation metric in genomic selection. In a sense, it can be seen as a >>> ranking measure since y_true and y_pred don't need to be equal: they only >>> need to be collinear to achieve perfect correlation. >>> >>> +1 for adding pearson_correlation_score >>> >> I thought we were discussiong the concordance correlation coefficient? >> > > > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > >
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