Bayesian network
borisrabin
New Altair Community Member
Hello,
How Can i use the Rapid Miner as tool which get as input data table with attributes and give as output the Bayesian network that represent the dependency between these attributes ?
Thanks,
Boris
How Can i use the Rapid Miner as tool which get as input data table with attributes and give as output the Bayesian network that represent the dependency between these attributes ?
Thanks,
Boris
Tagged:
0
Answers
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Hi,
you can just import the data to your local repository and then apply the operator W-BayesNet from the Weka Extension.
If you need a basic understanding of RapidMiner, please take a look at the various introductory you tube videos.
Greetings,
Sebastian0 -
Hi,
W-BayesNet from the Weka Extension is Supervised algorithm , Can you advise me for some unsupervised one.
Thanks,
Boris0 -
Hi,
no idea what you are looking for.
Greetings,
Sebastian0 -
Hi ,
I looking for Bayesian network tool/algorithm which get as input table and give as output dependencies between attributes .
Thanks ,
Boris0 -
Hi,
actually I still don't know what you mean, since you did not give me any additional information. But in the end I think, you simply won't find it in RapidMiner. But feel free to implement the algorithm yourself and if you like, please contribute it to the community.
Greetings,
Sebastian0 -
Hi,
The name of the topic is : "Learning Bayesian networks from data" .
Thanks,
Boris0 -
Might the package com.rapidminer.operator.learner.bayes be of use for this?
http://rapid-i.com/api/rapidminer-5.1/com/rapidminer/operator/learner/bayes/package-summary.html0