[SciPy-User] changing covariance factor in scipy.stats.kde.gaussian_kde

[Carolin Villforth]

Do you mean I should inherit gaussian_kde into my own class and then override  covariance_factor in the inherited class?

Thanks

On Dec 6, 2010, at 1:48 PM, Robert Kern wrote:

> On Mon, Dec 6, 2010 at 12:47, Carolin Villforth <carovi at utu.fi> wrote:
>> Hello,
>> 
>> I have a question concerning the usage of gaussian_kde. I am trying to change the covariance factor for the KDE, this is what I am doing it at the moment:
>> 
>> myKDE = scipy.stats.kde.gaussian_kde(data)
>> myKDE.covariance_factor = myKDE.silverman_factor
>> myKDE._compute_covariance()
>> 
>> The last line seems to be necessary for the changes to take effect.
>> 
>> While the above code works, this might create quite an overhead since _compute_variance is executed twice, once in __init__ and then again after the covariance factor has been changed. If I understood correctly, this is not really necessary since silverman_factor does not depend on outputs from _compute_covariance. Also, I always assumed that one should avoid calling '._functions' from outside the class.
>> 
>> Is there another way to change the covariance factor?
> 
> Subclass.
> 
> -- 
> Robert Kern
> 
> "I have come to believe that the whole world is an enigma, a harmless
> enigma that is made terrible by our own mad attempt to interpret it as
> though it had an underlying truth."
>   -- Umberto Eco
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----------------------------------------------------------
Carolin Villforth
PhD Student
Tuorla Observatory Finland and
Space Telescope Science Institute
3700 San Martin Drive
21218 Baltimore, MD
USA
phone: +1-410-338-4334
email: carovi at utu.fi, villfort at stsci.edu
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