Sorry about badly phrased title....
I have an object called NGram
class NGram
{
//other properties
double Probability {get; set;} //Value between 1 and 0
}
Now suppose I have a list of these objects such that...
List<NGrams> grams = GetNGrams();
Debug.Assert(grams.Sum(x => x.Probability) == 1);
How can I select a random item from this list while factoring in the probability distribution.
For instance, suppose grams[0].Probability == 0.5 then there should be a 50% chance of selecting grams[0]
I figured I may need something like rand.NextDouble() but I am at loss.
Here's a more generic way to do it (meaning you don't need to assert that the probabilities add to 1):
static Random rand = new Random();
public NGram GetRandom(IEnumerable<NGram> pool)
{
// get universal probability
double u = pool.Sum (p => p.Probability);
// pick a random number between 0 and u
double r = rand.NextDouble() * u;
double sum = 0;
foreach(NGram n in pool)
{
// loop until the random number is less than our cumulative probability
if(r <= (sum = sum + n.Probability))
{
return n;
}
}
// should never get here
return null;
}
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