public static void leapOverride(AutoStatePredictor destination, AutoStatePredictor original, Random rdm, double intensity)
{
destination.reset();
//Copy original to destination
original.table.CopyTo(destination.table, 0);
destination.trainingDepth = original.trainingDepth + 1;
//Choose the number of changes to make to the original based on intensity
//not very optimal
int changeCount = rdm.Next(2 + (int)(original.table.Length * intensity));
destination.lastLeapCount = changeCount;
//Make changes
int index;
for (int i = 0; i < changeCount; i++)
{
//Choose random table index for change
index = rdm.Next(destination.table.Length);
//Check if index is prediction image or state image
destination.table[index] = (byte)rdm.Next(destination.symbolSize); //New random prediction at index
}
destination.computeStateTransitionsTable();
}
public static void randomOverride(AutoStatePredictor destination, Random rdm)
{
destination.reset();
destination.trainingDepth = 0;
for (int i = 0; i < destination.table.Length; i++)
{
destination.table[i] = (byte)rdm.Next(destination.symbolSize); //New random prediction at index
}
destination.computeStateTransitionsTable();
}
