BayesFusion Support Forum

I attach the code. Thanks so much.

Hi,

I am learning a dataset using PC algorithm, but I cannot get any model. I know there is a header file named "error.h", but how I can check what is the error that is , how to return the error information by calling what function besides ErrorH.RedirectToFile(stdout)?

Thanks.

Thanks for your quick response. I know there is no built-in functionality to compute accuracy. But how to "predict the learned model" as you said?

Cheers.

Hi,

I learned a network with GREEDY algorithm and I want to test the accuracy of this model. In this network, I have a class variable named "motivation_level" to which I want to use other variables to test the accuracy of the prediction. How can I test the accuracy, that is, how can I evaluate my ...

Hi, Shooltz,

I attach the error information when I run a SMILE program, could u pls explain what is the problem is ?

By the way, what is the reason for warning LNK4076-linking nonincrementally?

Hi,

I am a beginner. I want to write SMILE code to discretize the original data set (including both continuous and discrete columns) for learning a new network and computing the accuracy. I want to know whether the input file can be a txt with both types of data I mentioned above?

Thanks.

I am faint now. The attachment is the part of datafile, isn't the first column a continuous and the second a discrete? BTW, the first column is the only "continuous" one as I said in the former post.

When I tried to discretize this single column from continuous to discrete one, I highlightened this column and right click but the discretize button is not activated. Could u tell me why and how to do?

Thanks again.

I am sorry, the data file is confidential so that I am afraid I cannot post here. I'm wondering if the problem is because I use wrong discretizing method: the sample data has 24 columns in which only one column has continuous data (high-moderate-low) and others are discrete. I know PC support both ...

Hi,

I am a beginner of GeNIe. Now I have a sample datafile consisting of continuous & discrete datas. What I want to do is using 3 different discretized methods combining with 3 different algorithms (except naive) to get 9 different networks and test the accuracy of these networks respectively ...