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Re: [recommenders-dev] Jayes - Likelihood Evidence

Hi Christian,

i would look into JuntionTreeAlgorithm, inside the method updateBeliefs, there should somewhere be a call to the method that sets the evidence. That could be a starting point. Until i understand the reqirement better and read up  a bit on soft evidence, i have to admit though that anything i say about what it takes to make it work like you expect is entirely guts feeling.

Regards, Michael

Hi Michael, thanks for your immediate response to my question!

I consider to use Jayes as an inference component in a system which recives evident information with certain degrees of uncertainty. So it's possible that the requirements of my intended use case are different from those Jayes is designed for.

What are the crutial parts in the code to be changed, to enablbe a proper handling of soft evidence in the Inferer classes?

Greetings,
 christian


-----Ursprüngliche Nachricht-----
Von: recommenders-dev-bounces@xxxxxxxxxxx im Auftrag von Michael Kutschke
Gesendet: Mi 23.07.2014 15:06
An: Recommenders developer discussions
Betreff: Re: [recommenders-dev] Jayes - Likelihood Evidence

Hi Christian,

Only hard evidence is supported. You could simulate soft evidence by changing the probability distribution of your variable, but that would be a lot less efficient because the internal structures would have to be rebuilt. Supporting the use case in an efficient manner would not be too hard to implement though, i think. It just has not appeared as requirement so far. What is your goal?

Regards, Michael


Am 23.07.2014 14:57 schrieb "Christian Lemke" <lemke@xxxxxxxxxxxx>:


        Hello,
       
        I have a question about the evidence concepts supported by the Jayes implementation of a Bayesian network.
        Does Jayes offer the possibility to set an arbitrary (but valid) probability distribution (e.g. [0.75,0.25]) as likelihood evidence for a node in the BN or is only the usage of hard evidence ([1.0,0.0]) supported?
       
        Thanks,
         christian

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