Hi Alex,
I am sorry to bother you again, but it doesn't look like that
univariate_selection.f_classif
gives me the t-statistics of linear regression or logistic regression. It
gives F-value, but what I am looking for is \hat{ beta } / std.err
Thank you so much!
On Mon, Dec 19, 2011 at 9:47 AM, Alexandre Gramfort <
[email protected]> wrote:
> > I haven't found your example. Can you post a link?
>
> look at the docstring of cross_val_score
>
> > 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. :)
>
> look at:
>
> univariate_selection.f_classif
>
> Alex
>
>
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