/// <summary>For internal testing purposes only.</summary>
public static void Main(string[] args)
{
ICounter <string> c2 = new ClassicCounter <string>();
c2.IncrementCount("p", 13);
c2.SetCount("q", 12);
c2.SetCount("w", 5);
c2.IncrementCount("x", 7.5);
// System.out.println(getDistribution(c2).getCount("w") + " should be 0.13333");
ClassicCounter <string> c = new ClassicCounter <string>();
double p = 1000;
string Unk = "!*UNKNOWN*!";
ICollection <string> s = Generics.NewHashSet();
s.Add(Unk);
// fill counter with roughly Zipfian distribution
// "1" : 1000
// "2" : 500
// "3" : 333
// ...
// "UNK" : 45
// ...
// "666" : 2
// "667" : 1
// ...
// "1000" : 1
for (int rank = 1; rank < 2000; rank++)
{
string i = rank.ToString();
c.SetCount(i, Math.Round(p / rank));
s.Add(i);
}
for (int rank_1 = 2000; rank_1 <= 4000; rank_1++)
{
string i = rank_1.ToString();
s.Add(i);
}
Distribution <string> n = GetDistribution(c);
Distribution <string> prior = GetUniformDistribution(s);
Distribution <string> dir1 = DistributionWithDirichletPrior(c, prior, 4000);
Distribution <string> dir2 = DynamicCounterWithDirichletPrior(c, prior, 4000);
Distribution <string> add1;
Distribution <string> gt;
if (true)
{
add1 = LaplaceSmoothedDistribution(c, 4000);
gt = GoodTuringSmoothedCounter(c, 4000);
}
else
{
c.SetCount(Unk, 45);
add1 = LaplaceWithExplicitUnknown(c, 0.5, Unk);
gt = GoodTuringWithExplicitUnknown(c, Unk);
}
Distribution <string> sgt = SimpleGoodTuring(c, 4000);
System.Console.Out.Printf("%10s %10s %10s %10s %10s %10s %10s%n", "Freq", "Norm", "Add1", "Dir1", "Dir2", "GT", "SGT");
System.Console.Out.Printf("%10s %10s %10s %10s %10s %10s %10s%n", "----------", "----------", "----------", "----------", "----------", "----------", "----------");
for (int i_1 = 1; i_1 < 5; i_1++)
{
System.Console.Out.Printf("%10d ", Math.Round(p / i_1));
string @in = i_1.ToString();
System.Console.Out.Printf("%10.8f ", n.ProbabilityOf(@in.ToString()));
System.Console.Out.Printf("%10.8f ", add1.ProbabilityOf(@in));
System.Console.Out.Printf("%10.8f ", dir1.ProbabilityOf(@in));
System.Console.Out.Printf("%10.8f ", dir2.ProbabilityOf(@in));
System.Console.Out.Printf("%10.8f ", gt.ProbabilityOf(@in));
System.Console.Out.Printf("%10.8f ", sgt.ProbabilityOf(@in));
System.Console.Out.WriteLine();
}
System.Console.Out.Printf("%10s %10s %10s %10s %10s %10s %10s%n", "----------", "----------", "----------", "----------", "----------", "----------", "----------");
System.Console.Out.Printf("%10d ", 1);
string last = 1500.ToString();
System.Console.Out.Printf("%10.8f ", n.ProbabilityOf(last));
System.Console.Out.Printf("%10.8f ", add1.ProbabilityOf(last));
System.Console.Out.Printf("%10.8f ", dir1.ProbabilityOf(last));
System.Console.Out.Printf("%10.8f ", dir2.ProbabilityOf(last));
System.Console.Out.Printf("%10.8f ", gt.ProbabilityOf(last));
System.Console.Out.Printf("%10.8f ", sgt.ProbabilityOf(last));
System.Console.Out.WriteLine();
System.Console.Out.Printf("%10s %10s %10s %10s %10s %10s %10s%n", "----------", "----------", "----------", "----------", "----------", "----------", "----------");
System.Console.Out.Printf("%10s ", "UNK");
System.Console.Out.Printf("%10.8f ", n.ProbabilityOf(Unk));
System.Console.Out.Printf("%10.8f ", add1.ProbabilityOf(Unk));
System.Console.Out.Printf("%10.8f ", dir1.ProbabilityOf(Unk));
System.Console.Out.Printf("%10.8f ", dir2.ProbabilityOf(Unk));
System.Console.Out.Printf("%10.8f ", gt.ProbabilityOf(Unk));
System.Console.Out.Printf("%10.8f ", sgt.ProbabilityOf(Unk));
System.Console.Out.WriteLine();
System.Console.Out.Printf("%10s %10s %10s %10s %10s %10s %10s%n", "----------", "----------", "----------", "----------", "----------", "----------", "----------");
System.Console.Out.Printf("%10s ", "RESERVE");
System.Console.Out.Printf("%10.8f ", n.GetReservedMass());
System.Console.Out.Printf("%10.8f ", add1.GetReservedMass());
System.Console.Out.Printf("%10.8f ", dir1.GetReservedMass());
System.Console.Out.Printf("%10.8f ", dir2.GetReservedMass());
System.Console.Out.Printf("%10.8f ", gt.GetReservedMass());
System.Console.Out.Printf("%10.8f ", sgt.GetReservedMass());
System.Console.Out.WriteLine();
System.Console.Out.Printf("%10s %10s %10s %10s %10s %10s %10s%n", "----------", "----------", "----------", "----------", "----------", "----------", "----------");
System.Console.Out.Printf("%10s ", "Total");
System.Console.Out.Printf("%10.8f ", n.TotalCount());
System.Console.Out.Printf("%10.8f ", add1.TotalCount());
System.Console.Out.Printf("%10.8f ", dir1.TotalCount());
System.Console.Out.Printf("%10.8f ", dir2.TotalCount());
System.Console.Out.Printf("%10.8f ", gt.TotalCount());
System.Console.Out.Printf("%10.8f ", sgt.TotalCount());
System.Console.Out.WriteLine();
}
public DynamicDistribution(Distribution <E> prior, double priorMultiplier)
: base()
{
this.prior = prior;
this.priorMultiplier = priorMultiplier;
}
