BayesFusion Support Forum

"7. #include the smile_license.h in one of your source files." This is where I do not understand！I have done 1-6. Can you tell me how to do the "7"? Specific operation？！

I'm so sorry. I've seen it，but it does not say how to set it up. Can you tell me how to do this? Specific operation？！

I'm very sorry. I can't understand " Treat is as one of your project files".And,there is not the"#include <smile_license.h> " in "hello word" tutorial.

I did that. I put it in the smile library file. But useless!.Then there is the above problem.

I'm sorry , I have the personalized license file,but,how, how to use it ?!

I followed this operation, but useless. 1. Go to Project Settings | Linker | General and add SMILE directory to ‘Additional Library Directories’, or 2. Go to Project Settings | VC++ Directories and add SMILE directory to ‘Library Directories’. There are also two independent ways of specifying the SM...

I'm sorry, how to link the personalized license file. #include it? I tried, but useless! I put the license file into the smile.lib file, and useless. I don't know how to make it.

Hello: This is not a lack of a“.lib” file, every time I run “Hello word”, there will be the following error：error LNK2019: 无法解析的外部符号 "unsigned char * DSL_LIC2" (?DSL_LIC2@@3PAEA)，该符号在函数 "private: double __cdecl `anonymous namespace'::da83e1ddc::_(double (__cdecl A0x93435f6e::da83e1ddc...

hello
The discretization here is systematically defined，like this: disc.Discretize(DSL_discretizer::MethodType::Hierarchical,4,be);
but if i want to control it ,how to do. what I mean is how to use my own discrete rules.
thank you.

Hello
I tried the tutorial“SMILearn Tutorial 5: Learning with the EM Algorithm (Static)”，but never read the file. I tried to put the file in various places, but useless.I don't know where is wrong. And what should I do?
Thank you!

Thank you so much!

Thank you very much!
Is there a source of EPIS-BN algorithm in the smilearn?

Hi
Is there a procedure for the Markov chain Monte Carlo algorithm in the smilearn?

Hi Suppose there are three nodes, A, B, c A->c B->c that is, A and B are the parent nodes of the c-node. We know that P (A), P (B), P (c | A), P (c | B)，How do I get the conditional probability table for c when I set up a Bayesian network in GeNie? If the parent node is too much, CPT also need to en...

Thank you very much!