Hi Alex,

I haven't found your example. Can you post a link?

I was looking at
http://scikit-learn.org/stable/modules/classes.html#module-sklearn.metrics

By the way, Is there a built-in method to calculate t-stat ? I couldn't
find that even for ordinary linear regression. I wouldn't mind writing my
own, but I thought with a built-in version it might be more efficient, or
less likely to have bugs. :)

Jieyun


On Mon, Dec 19, 2011 at 2:31 AM, Alexandre Gramfort <
[email protected]> wrote:

> Hi,
>
> you can use your own score method. See examples of score_func in
> sklearn.metrics
>
> you can for example pass them to cross_val_score.
>
> hope this helps
>
> Alex
>
> On Sun, Dec 18, 2011 at 11:35 PM, Jieyun Fu <[email protected]> wrote:
> > Hi all,
> >
> > Wondering if there is a way to get the goodness-of-fit information from
> the
> > LogisticRegression package, other than score() method? My particular
> > question for now is,  how do I get the t-stat (I guess some people call
> it
> > z-value. I mean \hat{B} / std.err. ) of a logistic regression using
> sklearn
> > package?
> >
> > Thanks!
> >
> >
> >
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