BayesFusion Support Forum

First argument of set_node_diag_type method is node handle or node ID. Second argument represents diagnostic type. By default, all nodes are Auxiliary.

You can change diagnostic type by calling e.g.


net.set_node_diag_type("Fault Node ID", pysmile.NodeDiagType.FAULT)
net.set_node_diag_type("First ...

Ad 1

Node background color could be setted this way:

net.set_node_bg_color(handle, 0x0000ff)
net.set_node_bg_color(handle, 0x123456)

Hexadecimal numbers seem to be the easiest way when it comes to color reading, however, SMILE was initially written in the Windows environment, so color format is ...

Network matching in SMILE wrappers works with BN's only. However, this functionality would be added in 1.4.2 release (first week of December), so if you are not in hurry, we advise you to wait a few days. In otherwise, you have to match network manually.

Unfortunately, there is no function that returns all temporal arcs in Network, but you can narrow down the search area and iterate nodes placed on Temporal Plate by net.get_temporal_children(node) - it should be slightly faster than net.get_temporal_parents(node, order).

TemporalInfo is a class that contains three fields - handle, id and order.
Fields could be accesed by:

parentArr = net.get_temporal_parents(node, order)
parentArr[0].handle
parentArr[0].id
parentArr[0].order

(with assumption, that temporal arcs exists, so parentArr is not empty)

Exception ...

There is slightly-improved Smile-Matlab wrapper:
matsmile.cpp
It has minimal functionality to support Discrete Bayesian Networks.

Hello program that uses wrapper looks like this:
net = matsmile('newNetwork');
matsmile('readFile', net, 'VentureBN.xdsl');
matsmile('setEvidence', net, 'Forecast ...

matsmile.cpp

I added node and outcome validation, so the debugging process should be easier now. Getting node value depends on its type, but most common case (CPT node) is described here https://support.bayesfusion.com/docs/SMILE/using_node_value.html . If your network contains Equation nodes ...

matsmile.cpp

At first, you have to make sure, that C++ compiler chosen by Matlab is compatible with Smile binaries.


mex -setup cpp


If there is compatibility, change directory to the one where the Smile was unpacked.


cd('full/path/to/smile/directory');


The easiest way I found was to ...

self.change_evidence_and_update(net, 'e_proponer', 1, 'Bajo')
self.change_evidence_and_update(net, 'e_aportar', 2, 'Bajo')
self.change_evidence_and_update(net, 'e_proponer', 4, 'Medio')
self.change_evidence_and_update(net, 'e_aportar', 5, 'Medio')
self.change_evidence_and_update(net, 'e ...

We have noticed that something is not quite right with network definition. You probably have not set nodes definition for t=0 (ex. Proponer_E)
def_ex.PNG

It should be set with method set_node_definition (not like other slices - set_node_temporal_definition). Also notice, that in SMILE 'time ...

def print_posteriors(net, node_handle):
node_id = net.get_node_id(node_handle)
if net.is_evidence(node_handle):
print(node_id + " has evidence set (" +
net.get_outcome_id(node_handle,
net.get_evidence(node_handle)) + ")")
else :
posteriors = net.get_node_value(node_handle)
n = net.get ...

Why beliefs initialization goes through 10 steps in time?
It depends on Slice (Step) Count variable. You can change it by calling ex. net.set_slice_count(4) (four steps). Remember to update beliefs.

How do I add evidences along time? (I have a guess on this one, but I ask it just in case I am ...

def print_posteriors(self, net, node_handle):
node_id = net.get_node_id(node_handle)
if net.is_evidence(node_handle):
print(node_id + " has evidence set (" +
net.get_outcome_id(node_handle,
net.get_evidence(node_handle)) + ")")
else :
posteriors = net.get_node_value(node_handle)
for i in ...

I'll try to explain PySmile DBN usage based on GeNIe documentation: https://support.bayesfusion.com/docs/GeNIe/dbns_creatingdbn.html


1. Create CPT nodes, ex.

net.add_node("Location")
net.add_node("Rain")
net.add_node("Umbrella")

2. Set node temporal types plate_explained.png

net.set_node ...

1.
I'm assuming, that you initialized dataset and network properly (as ex. ds and net).


node_id = "someNodeIdentifier"
matching = ds.match_network(net)
validator = pysmile.Validator(net, ds, matching)
validator.add_class_node(node_id)
em = pysmile.Learning.EM()
em.learn(ds, net, matching ...