public void Test()
{
int l = 30;
int k = 10;
double ratioSeparable = 0;
int numSeparable = 0;
ExampleSet set = new ExampleSet();
for (int d = 10; d < 50; d = d + 10)
{
numSeparable = 0;
for (int n = 0; n < k; n++)
{
set.Examples.Clear();
for (int i = 0; i < l; i++)
{
SparseVector x = new SparseVector(d);
for (int j = 0; j < d; j++)
{
x[j] = m_rand.NextDouble();
}
Category c = GetRandCategory();
Example e = new Example(c);
e.X = x;
set.AddExample(e);
}
SimpleLLM llm = new SimpleLLM(set, d);
//Logging.Info(string.Format("IsLinearSeparable: {0}", llm.IsLinearSeparable()));
//System.Console.WriteLine(string.Format("IsLinearSeparable: {0}", llm.IsLinearSeparable()));
if (llm.IsLinearSeparable())
{
numSeparable++;
}
}
ratioSeparable = 1.0 * numSeparable / k;
System.Console.WriteLine(string.Format("d: {0}, l: {1}, Separable ratio: {2}", d, l, ratioSeparable));
}
}
public void Test()
{
int l = 30;
int k = 10;
double ratioSeparable = 0;
int numSeparable = 0;
ExampleSet set = new ExampleSet();
for (int d = 10; d < 50; d=d+10)
{
numSeparable = 0;
for (int n = 0; n < k; n++)
{
set.Examples.Clear();
for (int i = 0; i < l; i++)
{
SparseVector x = new SparseVector(d);
for (int j = 0; j < d; j++)
{
x[j] = m_rand.NextDouble();
}
Category c = GetRandCategory();
Example e = new Example(c);
e.X = x;
set.AddExample(e);
}
SimpleLLM llm = new SimpleLLM(set, d);
//Logging.Info(string.Format("IsLinearSeparable: {0}", llm.IsLinearSeparable()));
//System.Console.WriteLine(string.Format("IsLinearSeparable: {0}", llm.IsLinearSeparable()));
if (llm.IsLinearSeparable())
{
numSeparable++;
}
}
ratioSeparable = 1.0 * numSeparable / k;
System.Console.WriteLine(string.Format("d: {0}, l: {1}, Separable ratio: {2}", d, l, ratioSeparable));
}
}
