public virtual void TestGetSparseIndex(int sparse1, double sparse1Val, int sparse2, double sparse2Val)
{
ConcatVector v1 = new ConcatVector(2);
ConcatVector v2 = new ConcatVector(2);
v1.SetSparseComponent(0, (int)sparse1, sparse1Val);
v1.SetSparseComponent(1, (int)sparse2, sparse1Val);
v2.SetSparseComponent(0, (int)sparse2, sparse2Val);
v2.SetSparseComponent(1, (int)sparse1, sparse2Val);
NUnit.Framework.Assert.AreEqual(sparse1, v1.GetSparseIndex(0));
NUnit.Framework.Assert.AreEqual(sparse2, v1.GetSparseIndex(1));
NUnit.Framework.Assert.AreEqual(sparse2, v2.GetSparseIndex(0));
NUnit.Framework.Assert.AreEqual(sparse1, v2.GetSparseIndex(1));
}
/// <summary>This prints out a ConcatVector by mapping to the namespace, to make debugging learning algorithms easier.</summary>
/// <param name="vector">the vector to print</param>
/// <param name="bw">the output stream to write to</param>
/// <exception cref="System.IO.IOException"/>
public virtual void DebugVector(ConcatVector vector, BufferedWriter bw)
{
foreach (string key in featureToIndex.Keys)
{
bw.Write(key);
bw.Write(":\n");
int i = featureToIndex[key];
if (vector.IsComponentSparse(i))
{
DebugFeatureValue(key, vector.GetSparseIndex(i), vector, bw);
}
else
{
double[] arr = vector.GetDenseComponent(i);
for (int j = 0; j < arr.Length; j++)
{
DebugFeatureValue(key, j, vector, bw);
}
}
}
}