/// <summary>
/// Initializes a new instance of the <see cref="Teacher" /> class.
/// </summary>
/// <param name="traingingCollection">The trainging collection.</param>
/// <param name="minDelta">The minimum delta.</param>
/// <param name="maxEra">The maximum era.</param>
/// <param name="maxIterationCount">The maximum iteration count.</param>
public Teacher(TrainingCollection traingingCollection, double minDelta, int maxEra, int maxIterationCount)
{
TrainingCollection = traingingCollection;
MinDelta = minDelta;
MaxEra = maxEra;
MaxIterationCount = maxIterationCount;
}
/// <summary>
/// Changes the training data.
/// </summary>
/// <param name="traingingCollection">The trainging collection.</param>
public void ChangeTrainingData(TrainingCollection traingingCollection)
{
TrainingCollection = traingingCollection;
}
/// <summary>
/// Loads the standard data from file.
/// </summary>
/// <returns>Collection with datas</returns>
public static TrainingCollection LoadStandardData()
{
const int HOW_MANY_NUMBERS_TO_LEARN_FROM_FILE = 1000;
TrainingCollection collection = new TrainingCollection(HOW_MANY_NUMBERS_TO_LEARN_FROM_FILE);
GiveItemsFromFile itemReturner = new GiveItemsFromFile();
sbyte[,] expectedResultFromFile = itemReturner.GiveArrayOfExpectedResults();
sbyte[,] trainDataFromFile = itemReturner.GiveArrayOfTrainData();
const int NUMBER_OF_RESULTS = 10;
const int SIZE_OF_IMAGE = 28 * 28;
for (int numberCounter = 0; numberCounter < HOW_MANY_NUMBERS_TO_LEARN_FROM_FILE; numberCounter++)
{
double[] expectedResult = new double[NUMBER_OF_RESULTS];
int whatNumber = -1;
for (int i = 0; i < NUMBER_OF_RESULTS; i++)
{
expectedResult[i] = expectedResultFromFile[numberCounter, i];
if (expectedResult[i] == 1)
whatNumber = i;
}
double[] trainData = new double[SIZE_OF_IMAGE];
for (int i = 0; i < SIZE_OF_IMAGE; i++)
{
trainData[i] = trainDataFromFile[numberCounter, i];
}
TrainingSet trainingSet = new TrainingSet();
trainingSet.Input = trainData;
trainingSet.Response = expectedResult;
trainingSet.Value = whatNumber;
collection.Values.Add(trainingSet);
}
return collection;
}