BayesFusion Support Forum

The error message you're getting is caused by one of SMILE headers comparing Visual C++ compiler version with know versions list. If you're using Visual Studio 2022 version 17.10, _MSC_VER is defined as 1940, which is outside of the range expected by SMILE's autolink.h header. To fix the problem, re...

The output from GeNIe you've quoted is produced by GeNIe code, which runs before calling into SMILE.

The implementation of PC in core C++ SMILE actually produces limited text output in addition to error code, but it's just a single line (no list of discrete vs continuous columns in the dataset)

There's no such API in SMILE.

Answered by PM earlier today.

We have a private, undocumented C++ only API which gets triangulation statistics, including cluster sizes. Send me a forum private message if you want to get info on how to use it.

system shows that the model is too complex. However, I have observed that my memory is not fully utilized. Is there any way to solve the situation? SMILE can determine if the model is too complex without actually trying to allocate the memory. Regarding parallelism, SMILE does not support it yet. H...

The discrete node definition after the DSL_EQUATION to DSL_CPT change will have intervals if the original equation node had discretization intervals specified. Please note that the two discretization intervals will be set in the equation node if a) equation node has no discretization intervals yet a...

When the parent node is discrete and has intervals, the child equation node sees the value drawn uniformly from the interval selected by the posteriors of the parent (they are known when sampling is run, because discrete parent precedes the equation child in network's partial order). In your example...

The automatic data column/network node matching is done by comparing node ids and column labels only. If you plan to automate the matching, please keep in mind that for performance reasons the parameter learning and validation algorithms like EM use the dataset data as integer indices. If your node ...

You should run EM parameter learning using your dataset. Ensure that parameter initialization option is set to "Keep original" if you want to use your new data as an additional source of information over the existing network. For more information, refer to the "Learning Parameters&quo...

If you're using SMILE in accordance with its academic license, you can use your licensing key on any number of machines.

BayesFusion Academic Software License Agreement is here:
https://download.bayesfusion.com/license_academic.txt

You're trying to reference the local variable defined in the __init__ function. If you want to load the model created by Tutorial1, just crate another instance of pysmile.Network class. BTW, net.read_file should use the full filename of your .xdsl file, like "Tutorial1.xdsl", not just &quo...

At this point SMILE does not directly support parallelism. I 100% agree that running multiple instances of learning algorithms like Bayesian Search could be very useful. We have completed the implementation of equations for dynamic Bayesian networks. Our next high priority item is structure learning...

Thanks for the bug report, we will ensure the silent crashes do not occur (the program should generate a Python exception instead of crashing, of course).

Regarding P(e) for equation-based networks, I'll need to ask our theoretical division. Will post answer here once I know it.

Can you post your data file here? Alternatively, send me a download link using a forum private message.