[MAGEEC] [BEEBS] PCA characterisation of benchmarks & evaluation of features
Kerstin.Eder at bristol.ac.uk
Sun Jul 27 23:24:20 BST 2014
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
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.
> mageec mailing list
> mageec at mageec.org
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