Yep - in which case the OP would have difficulty computing p-values (but
not the other usual stats) with any software tool that provided those
methods. But since the question was specifically about scikit-learn, my
main point is that the quantities are easy to compute (if they exist).
Andrew
<~~
Hi,
Can anyone please tell me what does "permutation_test_score"(and the p_value
it returns) do in scikit-learn? I am assuming it outputs the statistical
significance of the performance of regression models. I am planning on
comparing the performance of various regression models if the perfo
Indeed, that a good point.
We should mention it in our talks, and maybe in the release notes of next
release.
Gaël
On Sat, Feb 04, 2017 at 06:15:54PM +0530, Alekh Karkada Ashok wrote:
> Hi all!
> 2017 marks the 10th year of Scikit-learn (started as a GSoC project in 2007).
> Can we do anything t
> I'm fairly certain that the scikit-learn regression result, plus what you
> already have about the data is enough for you to compute all those
> statistical measures yourself. It should be rather trivial to do so.
>
That is highly dependent on the regression model you use. For example
computing
Hi all!
2017 marks the 10th year of Scikit-learn (started as a GSoC project in
2007). Can we do anything to celebrate? Perhaps a sticker on the website?
or T-shirts commemorating this?
Thank you!
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I'm fairly certain that the scikit-learn regression result, plus what you
already have about the data is enough for you to compute all those
statistical measures yourself. It should be rather trivial to do so.
Andrew
On Feb 4, 2017 00:34, "Afarin Famili"
wrote:
> Hi all,
>
> I am aiming at cal
