The error is saying that it did not find the node because it exists RB. Was it a mistake in learning? Maybe going through matrix I could solve.
"Try marking some nodes as targets." Could you tell me more about this?
I'm using a random try and catch from 0 to 1 but I needed to follow it naturally. I used this command
However the updates were not made and the error persisted saying that the node was not found but when opening the file generated by my algorithm that Smile reads GeNIe efficiently.
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net.BayesianAlgorithm = Network.BayesianAlgorithmType.EpisSampling;
Hello, I'm reopening the topic because I need to create a network using complex information. An exception is returned when performing UpdateBeliefs (), please help. Another thing that is happening is that I needed to process information where the node can be continuous generating an isolated node (this part I am isolating but it is making the process heavy). The most important thing would be to be able to run a complex network. the data have 30 different information but replicated 800 x.
The file is on a website because it is 1.4 MB.
https://drive.google.com/file/d/1cIn8qC ... sp=sharing
Hello, I'm learning the structure from this database. When executing the update command an exception is returned.
The maximum number of parents is 3. A posteriori and priori are 0.01 and 0.1 respectively (this is not a rule) but the initial network must be very "messy" because it is an evolutionary process that generates several networks, each network represents a generation .
Last edited by lablonsk on Wed Mar 04, 2020 8:30 pm, edited 1 time in total.
As soon as I can I send the network to have a look. But if you use the standard that is in GeNIe the software cannot execute the update command because it is very complex.
If you can take a look I appreciate it. My research depends a lot on me being able to run these RB.
Thank you very much and sorry for the work.
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Your network is densely connected. Consider reducing the link probability and prior link probability - you have used 0.5 for both. The defaults in GeNIe are 0.1 for link probability and 0.001 for prior link probability.
Hello, well, the problem is as follows. The problem is that the algorithm is evolutionary, so this same configuration at some point ends up giving some problem. Is there no way around this problem without using a try?