internal void Sample()
{
dataSet = createDataSet();
var nPosReward = new int[numberOfRates];
var nNegReward = new int[numberOfRates];
var nSelected = new int[numberOfRates];
// Cycle through every sample
for (int i = 0; i < sampleSize; i++)
{
var selected = 0;
var maxDraw = 0.0;
// Cycle through every conversion rate for this sample
for (int j = 0; j < numberOfRates; j++)
{
// Take a random draw from the beta distribution from this conversion rate at this sample
var randomDraw = betaDistribution.Sample(nPosReward[j] + 1, nNegReward[j] + 1);
// If that draw is higher than the previous highest draw in this sample select this conversion rate and record the as the new highest draw
if (randomDraw > maxDraw)
{
selected = j;
maxDraw = randomDraw;
}
}
// If the selected conversion rate was succesful this sample +1 to its overall positive rewards if not +1 to its overall negative rewards
if (dataSet[i, selected] == 1)
{
nPosReward[selected] += 1;
}
else
{
nNegReward[selected] += 1;
}
}
// Sum up the total number of times each conversion rate waas selected
for (int i = 0; i < numberOfRates; i++)
{
nSelected[i] = nNegReward[i] + nPosReward[i];
}
// Present the results
for (int i = 0; i < numberOfRates; i++)
{
print(String.Format("Conversion rate number {0} ({1}%) was selected: {2} times.", i, conversionRates[i] * 100, nSelected[i]));
}
var maxValue = nSelected.Max();
var indexOfMax = nSelected.ToList().IndexOf(maxValue);
print(String.Format("Conversion rate number {0} ({1}%) is the best choice.", indexOfMax, conversionRates[indexOfMax] * 100));
}
