internal void RequestConfigureVariableWithEvidence(RandomVariable rv, int scenarioId, float? value)
{
if (scenarioId <= 0)
{
throw new ArgumentOutOfRangeException("ScenarioId");
}
// Find existing scenario.
IScenario oldScenario;
oldScenario = Model.Scenarios.FirstOrDefault(s => s.Id == scenarioId.ToString());
if (oldScenario == null)
{
oldScenario = new Scenario(scenarioId.ToString(), new FObservation(), Model.BayesianNetwork);
}
else
{
oldScenario.InferenceUpdated -= OnScenarioInferenceUpdated;
oldScenario.InferenceFinished -= OnScenarioInferenceFinished;
}
FObservation oldEvidence = oldScenario.Evidence;
FObservation newEvidence;
// Build new evidence.
if (value == null)
{
newEvidence = FObservation.op_DotMinusDot(oldEvidence, rv.Name);
}
else
{
newEvidence
= FObservation.op_DotPlusDot(
oldEvidence,
new Tuple<string, float>(rv.Name, value.Value)
);
}
if (object.Equals(newEvidence, oldEvidence))
{
return;
}
// Create new scenario.
IScenario newScenario = new Scenario(scenarioId.ToString(), newEvidence, Model.BayesianNetwork);
newScenario.InferenceUpdated += OnScenarioInferenceUpdated;
newScenario.InferenceFinished += OnScenarioInferenceFinished;
Model.Scenarios.Remove(oldScenario);
Model.Scenarios.Add(newScenario);
// Update UI immediately.
{
xGraphInspector.SetInferenceResults(null, scenarioId, newEvidence);
var evidencesForEvidenceInspector =
Model.Scenarios.ToDictionary(
e => string.Format("Scenario {0}", e.Id),
e => new Tuple<FObservation, FRandomVariable[]>(e.Evidence, e.Workbench.BayesianNetwork.VariablesOrdered.ToArray())
);
xEvidenceInspector.SetEvidence(evidencesForEvidenceInspector, this.Model.BayesianNetworkVariableAbbreviations);
}
// Reset to simple node selection state.
Model.SelectedVariable = rv.Name;
Model.SelectedVariableMode = Mode.Inspecting;
}
void OnLearningFinished(ILearningTask learningTask)
{
Dispatcher.Invoke(delegate
{
if (Model.BayesianNetwork != learningTask.BayesianNetwork)
{
return;
}
// If this learning finished for the network we're currently
// looking at.
xLearningInspector.SetIsLearning(false);
SetBayesianNetwork(learningTask.BayesianNetwork, "");
xGraphInspector.SetInferenceResults(null, 1, null);
xGraphInspector.SetInferenceResults(null, 2, null);
if (Model.BayesianNetwork.VariablesOrdered.All(rv => rv.Distributions.EnumerateDistributions().Any()))
{
Scenario scenario = new Scenario("1", new FObservation(), learningTask.BayesianNetwork);
scenario.InferenceUpdated += OnScenarioInferenceUpdated;
scenario.InferenceFinished += OnScenarioInferenceFinished;
Model.Scenarios.Add(scenario);
}
WriteMessage("learning completed");
});
}
void OnModelBayesianNetworkReplaced(IWorkbench workbench)
{
// Update graph inspector.
xGraphInspector.SetGraph(workbench.BayesianNetwork, workbench.BayesianNetworkVariableAbbreviations);
xGraphInspector.SetInterestVariables(null);
// Setup evidence slots for two scenarios, and trigger inference for
// empty evidence set.
Model.Scenarios.Clear();
// Reset inference.
xGraphInspector.SetInferenceResults(null, 1, null);
xGraphInspector.SetInferenceResults(null, 2, null);
if (workbench.BayesianNetwork.VariablesOrdered.All(rv => rv.Distributions.EnumerateDistributions().Any()))
{
Scenario scenario = new Scenario("1", new FObservation(), workbench.BayesianNetwork);
scenario.InferenceUpdated += OnScenarioInferenceUpdated;
scenario.InferenceFinished += OnScenarioInferenceFinished;
Model.Scenarios.Add(scenario);
}
WriteMessage("network loaded");
}
internal void RequestResetEvidence(int? scenarioId)
{
if (scenarioId == null)
{
foreach (IScenario scenario in Model.Scenarios)
{
scenario.InferenceUpdated -= OnScenarioInferenceUpdated;
scenario.InferenceFinished -= OnScenarioInferenceFinished;
xGraphInspector.SetInferenceResults(null, int.Parse(scenario.Id), new FObservation());
}
Model.Scenarios.Clear();
}
else
{
string scenarioIdAsString = scenarioId.Value.ToString();
var scenario = Model.Scenarios.Where(s => s.Id == scenarioIdAsString).FirstOrDefault();
if (scenario != null)
{
Model.Scenarios.Remove(scenario);
}
}
// Restore basic scenario 1.
if (scenarioId == null || scenarioId.Value == 1)
{
Scenario scenario = new Scenario("1", new FObservation(), Model.BayesianNetwork);
scenario.InferenceUpdated += OnScenarioInferenceUpdated;
scenario.InferenceFinished += OnScenarioInferenceFinished;
Model.Scenarios.Add(scenario);
}
// Update UI immediately.
{
var evidencesForEvidenceInspector =
Model.Scenarios.ToDictionary(
e => string.Format("Scenario {0}", e.Id),
e => new Tuple<FObservation, FRandomVariable[]>(e.Evidence, e.Workbench.BayesianNetwork.VariablesOrdered.ToArray())
);
xEvidenceInspector.SetEvidence(evidencesForEvidenceInspector, Model.BayesianNetworkVariableAbbreviations);
xGraphInspector.SetInterestVariables(null);
}
// Reset to simple node selection state.
Model.SelectedVariableMode = Mode.Inspecting;
}
