[MAGEEC] [BEEBS] PCA characterisation of benchmarks & evaluation of features

Kerstin Eder Kerstin.Eder at bristol.ac.uk
Sun Jul 27 23:24:20 BST 2014

Hi Greg,

Well done, this sounds good. I think nobody has done this for the 
current version of BEEBs. Munaaf and Craig used parts of BEEBs for their 
MSc projects, but I think they did not check in "interim" results such 
as the exctracted feature vectors. :(

It might be worth "filing" the data you obtain from the feature 
extraction for future machine learning exercises and also "for the 
record". :)

Best wishes,

On 27/07/2014 17:42, Greg Cawthorne wrote:
> Hello team!
> I have been working on doing some Principle Component Analysis of the 
> features present in the current feature set. I have created a program 
> which is ready to be used to evaluate beebs!
> Now I need a comprehensive set of feature vectors and which program & 
> function they came from (as we're doing it on a function by function 
> basis). Once I have this data I can perform PCA and then see which 
> features are the most representative of the programs and also look to 
> see if different types of benchmark have distinctly different 
> important features.
> I believe this requires running the feature extractor across all the 
> current benchmarks. If anyone can or has already done this and can 
> send me the data it shall be appreciated. Otherwise I shall have a 
> look into it Monday!
> Regards, Greg.
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