public static KnowledgeClassifier <string> Assert(this KnowledgeClassifier <string> classifier, string expectedClass, params string[] nodesData)
{
foreach (var nodeData in nodesData)
{
var node = classifier.Knowledge.GetNode(nodeData);
var actualClass = classifier.Classify(node);
U.Assert.AreEqual(expectedClass, actualClass, "Incorrect classification for '" + nodeData + "'");
}
return(classifier);
}
private static void KnowledgeClassifier()
{
var dataLayer = new PresidentLayer();
var graph = new ComposedGraph(dataLayer);
var node1 = graph.GetNode("Barack_Obama");
var node2 = graph.GetNode("Miloš_Zeman");
var node3 = graph.GetNode("Michelle_Obama");
var log = new MultiTraceLog(new[] { node1, node2, node3 }, graph);
var classifier = new KnowledgeClassifier <string>(graph);
classifier.Advice(node1, "president");
classifier.Advice(node2, "president");
classifier.Advice(node3, "wife");
var node4 = graph.GetNode("Ivana_Zemanová");
var node5 = graph.GetNode("Andrej_Kiska");
var test1 = classifier.Classify(node4);
var test2 = classifier.Classify(node5);
}
internal void Filter(KnowledgeClassifier <bool> knowledgeClassifier)
{
if (knowledgeClassifier.Root == null)
{
//there is no initialization yet
return;
}
var newLayer = new HashSet <NodeReference>();
foreach (var node in _accumulator)
{
var isAccepted = knowledgeClassifier.Classify(node);
if (isAccepted)
{
newLayer.Add(node);
}
}
_accumulator = newLayer;
}
public string GetPattern(IEnumerable <NodeReference> nodes)
{
switch (nodes.Count())
{
case 0:
throw new NotSupportedException("Cannot get patter for zero nodes");
case 1:
if (_singleDefaultValue != null)
{
return(_singleDefaultValue);
}
return(SingleNodeClassifier.Classify(nodes.First()));
default:
if (_multiDefaultValue != null)
{
return(_multiDefaultValue);
}
//TODO other nodes can be also taken into consideration
return(MultipleNodesClassifier.Classify(nodes.First()));
}
}