public static KnowledgeClassifier <string> Advice(this KnowledgeClassifier <string> classifier, string nodeData, string cls)
{
var node = GraphLayerBase.CreateReference(nodeData);
classifier.Advice(node, cls);
return(classifier);
}
internal SurroundingPatternPart(ComposedGraph graph, string defaultValue)
{
SingleNodeClassifier = new KnowledgeClassifier <string>(graph);
MultipleNodesClassifier = new KnowledgeClassifier <string>(graph);
_singleDefaultValue = defaultValue;
_multiDefaultValue = defaultValue;
}
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);
}
internal ActionBlock(ComposedGraph graph, IEnumerable <IPoolAction> actions)
{
var semantics = actions.FirstOrDefault();
if (semantics != null && semantics.SemanticOrigin != null)
{
OriginalSentence = Dialog.UtteranceParser.Parse(semantics.SemanticOrigin.Utterance).OriginalSentence;
}
OutputFilter = new KnowledgeClassifier <bool>(graph);
_actions.AddRange(actions);
RequiredSubstitutions = findRequiredSubstitutions(actions);
}
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;
}
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);
}
