Hi all!
I'm making some experiments on mixing ants colony metaheuristics to create Bayesian Network and I found your website.
I was looking throw the forum and documentation and I dont get exactly what is going with your greedy implementation of K2.
My problem is that I would like to create a ordering of the initial graph using metaheuristics, and after I would like to give this ordering with the dataset to one functions to learn the structure from that. So I could go testing how good is the graph and changing the metaheuristic fitness function.
There're any possibility to do something like that with your library? Any suggestions are welcome.
thank u very much
Learning K2 and metaheuristics
-
- Site Admin
- Posts: 1417
- Joined: Mon Nov 26, 2007 5:51 pm
Re: Learning K2 and metaheuristics
You can achieve that by using DSL_greedyThickThinning::tiers:kile wrote:My problem is that I would like to create a ordering of the initial graph using metaheuristics, and after I would like to give this ordering with the dataset to one functions to learn the structure from that. So I could go testing how good is the graph and changing the metaheuristic fitness function.
http://genie.sis.pitt.edu/wiki/Referenc ... ckThinning
This functionality corresponds to tiers in GeNIe's background knowledge editor.