public void ClusterNmf(int numClusters, string path)
{
var data = _dataset.AllSamples.Select(ir => new
{
Row = _userMapping.ToInternalID(ir.User.Id),
Col = _itemMapping.ToInternalID(ir.Item.Id),
Value = Convert.ToDouble(ir.Rating)
}).ToList();
File.WriteAllLines(path + ".data", data.Select(d => string.Format("{0},{1},{2}", d.Row, d.Col, d.Value)).ToList());
var rows = data.Select(d => d.Row).ToArray();
var colums = data.Select(d => d.Col).ToArray();
var values = data.Select(d => d.Value).ToArray();
int numRows = rows.Max();
int numCols = colums.Max();
Console.WriteLine("Creating sparse matrix...\nNum users: {0} Num items: {1} Num ratings: {2}",
numRows, numCols, values.Count());
SparseCompressedColumnMatrix sparseMatrix = Matrix.CreateSparse(numRows + 1, numCols + 1, rows, colums, values);
var nmf = new NonNegativeMatrixFactorization(sparseMatrix, numClusters);
Console.WriteLine("Decomposing...");
nmf.Decompose();
Console.WriteLine("Writing decompose matrixes...");
var lf = nmf.LeftFactor.ToArray(MatrixElementOrder.RowMajor);
var rf = nmf.RightFactor.ToArray(MatrixElementOrder.RowMajor);
var lfWriter = new StreamWriter(path + ".lf");
var rfWriter = new StreamWriter(path + ".rf");
for (int i = 0; i < lf.Length; i++)
{
if (i != 0 && i % numClusters == 0)
{
lfWriter.WriteLine();
}
lfWriter.Write(lf[i] + " ");
}
lfWriter.Close();
for (int i = 0; i < rf.Length; i++)
{
if (i != 0 && i % numClusters == 0)
{
rfWriter.WriteLine();
}
rfWriter.Write(rf[i] + " ");
}
rfWriter.Close();
Console.WriteLine("Finished writing.");
}
public void ClusterNmf(int numClusters, string path)
{
var data = _dataset.AllSamples.Select(ir => new
{
Row = _userMapping.ToInternalID(ir.User.Id),
Col = _itemMapping.ToInternalID(ir.Item.Id),
Value = Convert.ToDouble(ir.Rating)
}).ToList();
File.WriteAllLines(path + ".data", data.Select(d => string.Format("{0},{1},{2}", d.Row, d.Col, d.Value)).ToList());
var rows = data.Select(d => d.Row).ToArray();
var colums = data.Select(d => d.Col).ToArray();
var values = data.Select(d => d.Value).ToArray();
int numRows = rows.Max();
int numCols = colums.Max();
Console.WriteLine("Creating sparse matrix...\nNum users: {0} Num items: {1} Num ratings: {2}",
numRows, numCols, values.Count());
SparseCompressedColumnMatrix sparseMatrix = Matrix.CreateSparse(numRows + 1, numCols + 1, rows, colums, values);
var nmf = new NonNegativeMatrixFactorization(sparseMatrix, numClusters);
Console.WriteLine("Decomposing...");
nmf.Decompose();
Console.WriteLine("Writing decompose matrixes...");
var lf = nmf.LeftFactor.ToArray(MatrixElementOrder.RowMajor);
var rf = nmf.RightFactor.ToArray(MatrixElementOrder.RowMajor);
var lfWriter = new StreamWriter(path + ".lf");
var rfWriter = new StreamWriter(path + ".rf");
for (int i = 0; i < lf.Length; i++)
{
if (i != 0 && i % numClusters == 0)
{
lfWriter.WriteLine();
}
lfWriter.Write(lf[i] + " ");
}
lfWriter.Close();
for (int i = 0; i < rf.Length; i++)
{
if (i != 0 && i % numClusters == 0)
{
rfWriter.WriteLine();
}
rfWriter.Write(rf[i] + " ");
}
rfWriter.Close();
Console.WriteLine("Finished writing.");
}
