/// <summary>
/// Finds the K nearest instances to a test instance. String based version.
/// </summary>
/// <param name="test">The test instance.</param>
/// <returns>An array of the k-nearest results.</returns>
/// <remarks></remarks>
public Result[] FindKNearest(InstanceS test)
{
List <Result> results = new List <Result>();
foreach (InstanceS train in TrainingInstances)
{
double dist = double.MaxValue;
switch (Metric)
{
case Metric.HammingDistance: dist = train.HammingDistance(test); break;
case Metric.WeightedHammingDistance: dist = train.ConfusionWeightedHammingDistance(test); break;
default: throw new NotSupportedException();
}
results.Add(new Result(train.Class, dist));
}
int k = (int)Math.Min(K, TrainingInstances.Count);
results.Sort();
Result[] knr = new Result[k];
results.CopyTo(0, knr, 0, k);
return(knr);
}
private void setupWordClassifier(string wordsPath, string wordProbPath)
{
Game.ValidWords = new WordDict(wordsPath);
WordClassifier = new KNearestClassifier(1, Metric.WeightedHammingDistance, WeightMode.Modal);
WordClassifier.TrainingInstances = new List <Instance>();
string[] lines = File.ReadAllLines(wordProbPath);
foreach (string line in lines)
{
string[] word = line.Split(' ');
InstanceS x = new InstanceS(word[0]);
x.Weight = float.Parse(word[1]);
WordClassifier.TrainingInstances.Add(x);
}
}
