// *** IDisposable interface implementation ***
public void Dispose()
{
if (mId >= 0)
{
LSqrDll.DeleteMatrix(mId);
mId = -1;
}
}
public void Train(ILabeledExampleCollection <double, SparseVector <double> > dataset)
{
Utils.ThrowException(dataset == null ? new ArgumentNullException("dataset") : null);
Utils.ThrowException(dataset.Count == 0 ? new ArgumentValueException("dataset") : null);
LSqrSparseMatrix mat = new LSqrSparseMatrix(dataset.Count);
double[] rhs = new double[dataset.Count];
int solSize = -1;
int i = 0;
foreach (LabeledExample <double, SparseVector <double> > labeledExample in dataset)
{
if (labeledExample.Example.LastNonEmptyIndex + 1 > solSize)
{
solSize = labeledExample.Example.LastNonEmptyIndex + 1;
}
foreach (IdxDat <double> item in labeledExample.Example)
{
mat.InsertValue(i, item.Idx, item.Dat);
}
rhs[i++] = labeledExample.Label;
}
Utils.ThrowException((mInitSol != null && mInitSol.Length != solSize) ? new ArgumentValueException("InitialSolution") : null);
LSqrSparseMatrix matT = new LSqrSparseMatrix(solSize);
i = 0;
foreach (LabeledExample <double, SparseVector <double> > labeledExample in dataset)
{
foreach (IdxDat <double> item in labeledExample.Example)
{
matT.InsertValue(item.Idx, i, item.Dat);
}
i++;
}
int numIter = mNumIter < 0 ? solSize + dataset.Count + 50 : mNumIter;
mSol = new ArrayList <double>(LSqrDll.DoLSqr(solSize, mat, matT, mInitSol, rhs, numIter));
mat.Dispose();
matT.Dispose();
}
public void Train(IExampleCollection <double, SparseVector <double> .ReadOnly> dataset)
{
Utils.ThrowException(dataset == null ? new ArgumentNullException("dataset") : null);
Utils.ThrowException(dataset.Count == 0 ? new ArgumentValueException("dataset") : null);
LSqrSparseMatrix mat = new LSqrSparseMatrix(dataset.Count);
double[] rhs = new double[dataset.Count];
int sol_size = -1;
int i = 0;
foreach (LabeledExample <double, SparseVector <double> .ReadOnly> labeled_example in dataset)
{
if (labeled_example.Example.LastNonEmptyIndex + 1 > sol_size)
{
sol_size = labeled_example.Example.LastNonEmptyIndex + 1;
}
foreach (IdxDat <double> item in labeled_example.Example)
{
mat.InsertValue(i, item.Idx, item.Dat);
}
rhs[i++] = labeled_example.Label;
}
LSqrSparseMatrix mat_t = new LSqrSparseMatrix(sol_size);
i = 0;
foreach (LabeledExample <double, SparseVector <double> .ReadOnly> labeled_example in dataset)
{
foreach (IdxDat <double> item in labeled_example.Example)
{
mat_t.InsertValue(item.Idx, i, item.Dat);
}
i++;
}
int num_iter = m_num_iter < 0 ? sol_size + dataset.Count + 50 : m_num_iter;
m_sol = new ArrayList <double>(LSqrDll.DoLSqr(sol_size, mat, mat_t, rhs, num_iter));
mat.Dispose();
mat_t.Dispose();
}
public void InsertValue(int rowIdx, int colIdx, double val)
{
LSqrDll.InsertValue(mId, rowIdx, colIdx, val);
}
public LSqrSparseMatrix(int rowCount)
{
mId = LSqrDll.NewMatrix(rowCount);
}
public void InsertValue(int row_idx, int col_idx, double val)
{
LSqrDll.InsertValue(m_id, row_idx, col_idx, val);
}
public LSqrSparseMatrix(int row_count)
{
m_id = LSqrDll.NewMatrix(row_count);
}
