static void ParseFromConsole(HiddenMarkovModel hmm, ParseTarget target)
{
ConsoleColor defaultColor = Console.ForegroundColor;
ITagger tagger;
char[] splitChars = null;
if (target == ParseTarget.Address)
{
tagger = new AddressTagger();
splitChars = new char[1] {
'-'
};
}
else
{
tagger = new NameTagger();
}
while (true)
{
Console.WriteLine($"Enter the {target}:");
Console.ForegroundColor = ConsoleColor.Green;
string input = Console.ReadLine();
if (string.IsNullOrWhiteSpace(input))
{
continue;
}
string[] words = Preprocessing.GetFormattedWords(input, splitChars);
int[] tags = tagger.TagInput(words);
int[] result = hmm.Decide(tags);
DisplayParseResults(words, tags, result, target);
Console.ForegroundColor = defaultColor;
}
}
public HMMTestResult Test(Tuple <int[][], int[][]> xAndY)
{
int[][] predicted = HMM.Decide(xAndY.Item1);
HMMTestResult result = predicted
.Zip(xAndY.Item2, (pred, actual) => new HMMTestResult
{
TotalAccuracy = pred.SequenceEqual(actual) ? 1 : 0,
AverageAccuracy = pred.Zip(actual, (p, a) => p == a ? 1 : 0).Sum() / (float)pred.Count()
}).Aggregate((curr, accum) =>
{
accum.TotalAccuracy += curr.TotalAccuracy;
accum.AverageAccuracy += curr.AverageAccuracy;
return(accum);
});
result.TotalAccuracy /= predicted.Count();
result.AverageAccuracy /= predicted.Count();
return(result);
}
public int[] Decide(int[] input)
{
return(Model.Decide(input));
}
