/// <summary>Recreates an in-memory concat vector object from a Proto serialization.</summary>
/// <param name="m">the concat vector proto</param>
/// <returns>an in-memory concat vector object</returns>
public static Edu.Stanford.Nlp.Loglinear.Model.ConcatVector ReadFromProto(ConcatVectorProto.ConcatVector m)
{
int components = m.GetComponentCount();
Edu.Stanford.Nlp.Loglinear.Model.ConcatVector vec = new Edu.Stanford.Nlp.Loglinear.Model.ConcatVector();
vec.pointers = new double[components][];
vec.sparse = new bool[components];
for (int i = 0; i < components; i++)
{
ConcatVectorProto.ConcatVector.Component c = m.GetComponent(i);
vec.sparse[i] = c.GetSparse();
int dataSize = c.GetDataCount();
vec.pointers[i] = new double[dataSize];
for (int j = 0; j < dataSize; j++)
{
vec.pointers[i][j] = c.GetData(j);
}
}
return(vec);
}
/// <summary><code>repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;</code></summary>
public ConcatVectorTableProto.ConcatVectorTable.Builder AddFactorTable(int index, ConcatVectorProto.ConcatVector value)
{
if (factorTableBuilder_ == null)
{
if (value == null)
{
throw new ArgumentNullException();
}
EnsureFactorTableIsMutable();
factorTable_.Add(index, value);
OnChanged();
}
else
{
factorTableBuilder_.AddMessage(index, value);
}
return(this);
}
