BayesFusion Support Forum

AHP is a completely different technique that some people compare to multi-attribute utility functions. I don’t believe there is any straightforward way to combine AHP with probabilities. Hence no straightforward combination with Bayesian networks.
I hope this helps.

See Tutorial3 in SMILE Wrappers Manual. The manual is available as HTML or PDF at https://support.bayesfusion.com/docs.

SMILE 2.0 is now available at https://download.bayesfusion.com . This version of the library supports metalog distributions and discrete nodes based on intervals or point values. SMILE fully supports Macs based on M series (Apple Silicon) ARM CPUs. The C++, Python and Java libraries are available as...

You can open the Value page in node properties, and copy the utilities from there. The numbers are copied in the text format, which can be pasted into any text editor or spreadsheet. If you want to run over multiple sets of evidence/decisions, and get utilities for each case written to a file, it ca...

The PC algorithm produces a 'pattern', which may include cycles and/or undirected or bidirected arcs. If your pattern is a DAG, you can proceed to EM by clicking on the 'Learn parameters' button in the PC patter editor.

I suspect one or more nodes are based on a data column(s) with very large number of distinct values. If your data file has a unique identifier column, do not include it.

I used the new data for parameter learning, I completed the Match Network and Date steps, but the Learn Parameters with EM step did not appear? The EM options window should appear after you complete network/data matching. Did you get any error/crash message? The yellow exclamation mark icons appear...

GeNIe 4.0 is now available at https://download.bayesfusion.com. Most important new features are: discrete nodes with outcomes based on numeric intervals or point values metalog distribution, including interactive metalog builder tool geospatial processing added, Esri ASCII raster grids supported new...

To modify node's CPT, you should call set_node_definition. Refer to Tutorial 1 in SMILE Wrappers Manual - the tutorial program initializes the CPT with probabilities hardcoded into the Python source. In your case, you'll need to create an array from the CSV file, then call set_node_definition.

most sensitivity parameter for "L = good" is "I = L | D = L". That means this paramter will make the posterior probability of "L = good" change from 0.303756 to 0.314423. The output probability range from 0.303756 to 0.314423 is calculated for parameter spread=10% (the...

The most likely cause for this error message would be 32-bit Python environment and 64-bit pysmile.pyd module.

You can ignore the issue. Your model is closer to the perfect sum=1.0 distribution that our default epsilon.

Before we release new version, you can consider using the 'Complement' command in the columns with warnings to get perfect 1.0 total.

We tracked down this problem to GeNIe's algorithm for epsilon selection. If a column in the CPT has a very small non-zero probability (like 2e-25 in your example), it will be used for comparison of the total probabilities in the column with 1.0. The default epsilon is on the order of 1e-6. This algo...

I can't reproduce the problem. I have typed the numbers in your screenshots and got no warning icon with the 2e-25 value. Can you send me your xdsl file (use a forum private message if model contains confidential information). BTW: you can hover the mouse cursor over the warning icon sign and the pr...

Unfortunately, GeNIe does not support equation nodes in DBNs.