[Campaign-news] Smoke Test

[Kai Kohlhoff]

Hi Bill and Marc,

I have a small FEATURE data set that we can use for testing, bit will  
also look for something bigger. For k-centers I just completed a  
protein rmsd kernel.

K-centers is currently deterministic for a given seed, but this comes  
at a performance cost. This can be easily overcome, though, because  
clusters are always the same. Only their sequence changes.

I will be back in the office on Wednesday and will get back to you then.

Would it make sense to have another meeting the week after next?

- Kai

Sent from my kaiPhone.  Apologies for brevity or unusual tone.

On Oct 30, 2009, at 14:39, whsu at sfsu.edu wrote:

> I assume Kai probably has a small test data set that he uses? k- 
> centers can probably be deterministic if we fix the initial seed  
> cluster, and have a tie-breaking mechanism for data points that are  
> equi-distant from two clusters (there might be something in Kai's  
> code already). I need to spend a bit more time with the k-means  
> code...
>
> Bill
>
> Quoting Marc Sosnick <marcsosnick at mac.com>:
>
>> Kai, Bill:
>>
>> Before I post to the software repository, I want to have the initial
>> reorganization of the system completed.  To do this I will be  
>> rewriting
>> all the scripts in PERL and normalizing the deployment process.
>>
>> To be in compliance with standard SE practices, we should have some
>> sort of smoke test against which we can test so that we don't post
>> non-working code to the library.  I was wondering if either of you  
>> had
>> a good idea as to what that smoke test could entail?  Perhaps a known
>> dataset and algorithm against which we could test?  Of course, it  
>> would
>> mean that whatever we choose, the result must be deterministic.
>>
>> I look forward to your ideas...
>>
>> Thanks!
>>
>> Marc_______________________________________________
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>
>
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