public GlobalDocumentDataBuilderUserControl()
{
InitializeComponent();
var serviceProvider = DependencyResolver.GetServices().BuildServiceProvider();
documentDataBusinessLogic = serviceProvider.GetService <IDocumentDataBusinessLogic>();
featureSelector = serviceProvider.GetService <IFeatureSelector>();
topicPredictor = serviceProvider.GetService <ITopicPredictor>();
documentDataDisplayUserControl = new DocumentDataDisplayUserControl();
panelDocumentDataDisplayUserControl.Controls.Add(documentDataDisplayUserControl);
UpdateRunButtonEnabledProperty();
SetStatusLabel("Waiting for input", Color.DodgerBlue);
filepathsToUseForDocumentData = new List <string>();
}
public List <ClassEvaluationResult> EvaluateTopicPredictor(ITopicPredictor topicPredictor, List <DocumentData> documentDataList)
{
ArgumentValidator.ValidateObject(topicPredictor);
ArgumentValidator.ValidateNotEmptyList(documentDataList);
var evaluationResults = new Dictionary <string, ClassEvaluationResult>();
double total = documentDataList.Count;
var successfullyPredicted = 0;
var distinctTopics = documentDataList.ToDatasetRepresentation().GetAllDistinctTopics();
foreach (var topic in distinctTopics)
{
evaluationResults.Add(topic, new ClassEvaluationResult());
}
var predicted = new int[documentDataList.Count(x => x.Topics.Count > 0)];
var expected = new int[documentDataList.Count(x => x.Topics.Count > 0)];
foreach (var documentData in documentDataList.Where(x => x.Topics.Count > 0))
{
var predictedTopic = topicPredictor.PredictTopic(documentData);
var expectedTopic = documentData.Topics[0];
evaluationResults.TryGetValue(predictedTopic, out var resultForPredictedTopic);
evaluationResults.TryGetValue(expectedTopic, out var resultForExpectedTopic);
if (resultForPredictedTopic == null && resultForExpectedTopic == null)
{
continue;
}
if (predictedTopic != expectedTopic)
{
if (resultForPredictedTopic != null)
{
resultForPredictedTopic.FalsePositives++;
}
if (resultForExpectedTopic != null)
{
resultForExpectedTopic.FalseNegatives++;
}
}
else
{
if (resultForPredictedTopic != null)
{
resultForPredictedTopic.TruePositives++;
}
}
var remainingTopics = distinctTopics
.Where(x => x != predictedTopic && x != expectedTopic)
.ToList();
foreach (var remainingTopic in remainingTopics)
{
if (evaluationResults.TryGetValue(remainingTopic, out var resultForRemainingTopic))
{
resultForRemainingTopic.TrueNegatives++;
}
}
}
return(evaluationResults.Values.ToList());
}