[SciPy-User] SciPy.stats.kde.gaussian_kde estimation of information-theoretic measures

[Robert Kern]

On Thu, Sep 24, 2009 at 14:04,  <josef.pktd at gmail.com> wrote:
> On Thu, Sep 24, 2009 at 3:00 PM,  <josef.pktd at gmail.com> wrote:
>> On Thu, Sep 24, 2009 at 2:56 PM, Robert Kern <robert.kern at gmail.com> wrote:
>>> On Thu, Sep 24, 2009 at 08:49,  <josef.pktd at gmail.com> wrote:
>>>
>>>> I never managed to figure out what integrate_kde and
>>>> integrate_gaussian in stats.kde are good for. So if you find any hints
>>>> or use cases, I would be very glad to hear them.
>>>
>>> I told you the use case I implemented them for the last time you
>>> asked. Was something unclear about my explanation?
>>
>> But you didn't have the reference, and the description was to vague
>> for me to spend time hunting it down.
>
> What I mean is that I didn't try to find any references or use cases
> for it. Since I was mainly going through various parts of the scipy
> code, I didn't wan't to spend hours with Google just to figure out
> what each function might be good for.

Ah, you have a strange definition of "use case", then.

-- 
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