[LNT] r207898 - Use Mann-Whitney U test to identify changes

[Anton Korobeynikov]

I looked over the sources and it looks like it only implements the
asymptotic version via a normal approximation which may be used only
when sample size is rather big (say > 20).

So, this does not seem to be a proper alternative. And given that the
webpage says that SciPy used the exactly same sources to start with,
it may happen,
that SciPy implementation is broken for small sample sizes as well...

On Sun, May 4, 2014 at 6:50 PM, Yi Kong <Yi.Kong at arm.com> wrote:
> There is a library that provides Mann-Whitney U test which is written purely
> in Python and it's released in MIT-like license. Can we use that as a
> replacement to SciPy?(I'm not familiar with licensing issues with LLVM)
>
> http://www.nmr.mgh.harvard.edu/Neural_Systems_Group/gary/python.html
>
>
> On 03/05/14 22:40, Chris Matthews wrote:
>>
>> This package index will need to be updated before the bots will work:
>>
>> http://lab.llvm.org/packages/
>>
>> Their pip installations are limited to packages in that repo.
>>
>> On May 3, 2014, at 2:34 PM, Renato Golin <renato.golin at linaro.org> wrote:
>>
>>> On 3 May 2014 22:18, Chris Matthews <chris.matthews at apple.com> wrote:
>>>>
>>>> I would assume on the linux bots installing those packages + pip
>>>> installing the scipy into the virtualenv will work?
>>>
>>>
>>> Nope. I did install scipy (which pulled numpy), but that doesn't fix
>>> the virtualenv.
>>>
>>> --renato
>>
>>
>>
>>
>
>
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-- 
With best regards, Anton Korobeynikov
Faculty of Mathematics and Mechanics, Saint Petersburg State University