On Tue, Nov 6, 2012 at 6:48 AM, Gael Varoquaux
<gael.varoqu...@normalesup.org> wrote:
> I am actually -1 on this, because the consequence would be that np.std(X,
> axis=-1) would no longer be one. I am afraid that it would confuse the
> users.
>
> I believe that the n/(n - 1) difference is completely irrelevent for
> machine learning purpose. If a quantity is relevant, it is the norm of
> the feature vectors, in the geometrical sens, and thus the current
> implementation.
>
> That said, I am OK adding an additional parameter, if people think that
> it is important. The one used in numpy, "ddof", is somewhat cryptic,
> though.

Sorry about that. All of the less cryptic choices were lies.

--
Robert Kern

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