Using Inspyred for Feature Selection

[sucheth...@gmail.com]

Hi,

I would like to explore the possibility of using evolutionary computing algorithms in Inspyred for Feature Selection. Specifically, I am looking for multi-threaded text feature selection using PSO/ACO/DE/GA algorithms, where the aim is to speed up the feature subset selection and the feature evaluator part.

Any help would be of great help.

Regards
Suchetha

[Aaron Garrett]

How do you intend to evaluate a set of features?

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Aaron Garrett, Ph.D.

Assistant Professor

Computer Science

Wofford College

429 North Church Street

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[sucheth...@gmail.com]

Dear Prof. Garrett,

Thank you very much for the reply. I intend to evaluate the feature subsets selected by EC methods using linear classifier like LibLinear. The objective is to decrease the computational time of the big data text feature selection by wrapper method using parallel computing.


Regards
Suchetha

[Aaron Garrett]

OK. So let's suppose you had 20 features under consideration. You could make a generator that produces random 20-element lists of 0/1 or T/F. Then your evaluator could only pass those features that are T to the classifier and run on your dataset. Then it could produce some measure of whatever (computational time) to return as the fitness for that candidate feature subset.

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[sucheth...@gmail.com]

Thank you for the solution

Regards
Suchetha