private static string runNearesNeighbour(IDistance distCalc, string predictTest)
{
List <OCRCharacter> charactersTrain = new List <OCRCharacter>();
OCRCharacter charGuess = createCharacterFromBytes(predictTest);
///List<OCRCharacter> charactersTest = new List<OCRCharacter>();
///addCharacter(charactersTest, predictTest, false);
try
{
// Load the training file points
loadDataFromFile(charactersTrain, DATASET_FILE_1, DATASET_FILE_CONTENT_1);
// Load the training file points from dataset 2 as well.
loadDataFromFile(charactersTrain, DATASET_FILE_2, DATASET_FILE_CONTENT_2);
// Predict the number
int answer = NearestNeighbourClassifier.processNNAndPredict(charactersTrain, charGuess, distCalc);
return(answer.ToString());
}
catch (Exception e)
{
return("ERROR " + e.Message + " FILE: " + DATASET_FILE_1);
}
}
private void RunTwoFoldTestNN()
{
List <OCRCharacter> charactersTrain = new List <OCRCharacter>();
List <OCRCharacter> charactersTest = new List <OCRCharacter>();
// Load the training file points
loadDataFromFile(charactersTrain, DATASET_FILE_1, DATASET_FILE_CONTENT_1);
// Load the training file points from dataset 2 as well.
loadDataFromFile(charactersTest, DATASET_FILE_2, DATASET_FILE_CONTENT_2);
NearestNeighbourClassifier.processNN(charactersTrain, charactersTest, new EuclideanDistance());
}
