davisking / dlib

A toolkit for making real world machine learning and data analysis applications in C++

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Does Dlib support virtual/soft evidence?

cowboylym opened this issue · comments

Does Dlib support soft evidence-based Bayesian network inference?
Like pgmpy
image

You can only set actual observed values in dlib. But you can certainly make your node conditional on some other node (let's call it a virtual node) and adjust the CDF dynamically to do this kind of soft evidence stuff. Right, like set the virtual node to be always observed to have a value of 0 (or any other arbitrary value) and then tweak the CDF of the node you are interested in.

Thanks for your reply I will try.

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Warning: this issue has been inactive for 42 days and will be automatically closed on 2022-08-04 if there is no further activity.

If you are waiting for a response but haven't received one it's possible your question is somehow inappropriate. E.g. it is off topic, you didn't follow the issue submission instructions, or your question is easily answerable by reading the FAQ, dlib's official compilation instructions, dlib's API documentation, or a Google search.

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