public void Predict()
{
var trainingIssues = File.ReadAllLines(@"C:\Research\20580498\Classification\AreaPmi\IssueUsedTrainingDataset.txt").ToList();
var issueTags = File.ReadAllLines(@"C:\Research\20580498\Classification\AreaPmi\IssueTagsCleaned.txt").Select(x => x.SplitWith("##")).ToDictionary(x => x[0], x => int.Parse(x[1].SplitWith(",")[0]));
var dimesions = new HashSet <string>(GetSimilarityData($@"C:\Research\20580498\Classification\SingleTagsSourceSimilarityPmi\Similarity\Pmi_{trainingIssues.First()}.txt").Keys.Take(DimensionCount));
var outputs = trainingIssues.Select(x => issueTags[x]).ToArray();
var distinctOutputs = outputs.Distinct().ToList();
var outputsDictionaryMappingIndexTag = distinctOutputs.Select((x, index) => new { x, index }).ToDictionary(x => x.index, x => x.x);
var outputsDictionaryMappingTagIndex = outputsDictionaryMappingIndexTag.ToDictionary(x => x.Value, x => x.Key);
var formattedOutputs = outputs.Select(x => outputsDictionaryMappingTagIndex[x]).ToArray();
var inputs = trainingIssues.Select(x => GetSimilarityData(x, dimesions)).ToArray();
var k = issueTags.Values.Distinct().Count();
var knn = new Accord.MachineLearning.KNearestNeighbors(k);
var trainedKnn = knn.Learn(inputs, formattedOutputs);
var testingIssues = File.ReadAllLines(@"C:\Research\20580498\Classification\AreaPmi\IssueUsedTestingDataset.txt").ToList();
var results = new List <string>();
int counter = 0;
foreach (var testingIssue in testingIssues)
{
System.Console.WriteLine(counter++);
var coordinate = GetSimilarityData(testingIssue, dimesions);
var decision = trainedKnn.Decide(coordinate);
results.Add(testingIssue + "##" + outputsDictionaryMappingIndexTag[decision]);
}
File.WriteAllLines(@"C:\Research\20580498\Classification\AreaPmi\KnnResult_Pmi.txt", results);
}
private int[] Predict(double[][] inputsTrain, int[] outputsClasses, double[][] inputsPredict)
{
var knn = new Accord.MachineLearning.KNearestNeighbors(k: 4);
Accord.MachineLearning.KNearestNeighbors kNearestNeighbors = knn.Learn(inputsTrain, outputsClasses);
return(kNearestNeighbors.Transform(inputsPredict));
}
