BayesFusion Support Forum

Thank you! As for the FS, I was actually thinking about the structure learning (SL) approach, but again, since I have quite a lot of missing values both in the training and testing data, its a problem. I am aware that I can do something like knn-imputation and then apply structure learning, but I am...

Hi,

1. From what I read in your manual, structure learning algorithms do not work for data that is incomplete.
Are there any alternatives that can be implemented in GenIe for learning structure in the presence of missing values and latent variables?

2. Does genie offer any FS algorithms?

Thanks!

Thanks for the suggestion, but strength of influence does not capture what I need (that is, understand the most influential variables on my target node, and somehow quantify this influence).

Hi,

Is there an option (GeNIe or smile) to understand what are the most determinant factors/nodes of my BN? and to somehow quantify the size of the effect they generate?

Thanks!

Is there a possibility to view the individual results of each fold of a K-fold CV?
Also, how is the final result for K-fold CV calculated? average of K folds? min of the K folds? max of the K folds?

Thanks

Hi,

Is there an option to replace the counts on the side of the piechart with percentages?

Thanks

I was not aware of those options. Thank you!

Hi, I was not sure whether this question should go to the forum or to your email directly. If you would like me to move it to the forum, please say so. I have been using the academic version for a while. My problem is when I try to visualize my networks in order to include pictures of them in my pap...

Hi, Just started using pysmile (was using only GeNle so far, but reached to a point where I need some bigger scale network). I have two questions and will be very grateful if you can answer : 1. I am trying to understand how to perform a simple k-fold CV in pysmile. This topic is not included in the...

Let me rephrase: are there any observed and continuous nodes in GeNIe that can integrate with chance nodes in the sense that they can have choice nodes as descendents? For example, the equation node can be cont. and observed but it can not have a chance node as child. (Almost all my network is built...

Hi-

Thanks, but I am not sure I understand: how can I represent my weights using nodes (which is what I offered --- a weight corresponds to a node) if there is no option for a node that can be both observed and take a continuous value? (or maybe there is?)

Thanks!

Hi, I am trying to model a logistic cpd with the GeNIe. As it does not offer such a built in mechanism, I obtained the weights from another source. My problem is now how to build this cpd using the building blocks GeNIe offers. I was planning to use the equation node for the softmax, and "abuse...

Hi,

How does GeNle deal with missing values of observed nodes in the test (validation) data? (I refer to the option of "test only", not to CV.)

Thanks!

Hi-

Regarding 2.: I do have missing values in the training data for some of the nodes. I also have latent nodes for which I do not have any training data at all. I this a problem? I thought that since you use EM it should not be..

Hi, First, thank you for answering my previous questions! 1. I want to combine one node with a multi-valued logistic cpd (sigmoid) in my network. I did see that you have the option of an "equation" node but I am not sure how do I need to use it to achieve a multi-valued logistic cpd. For e...