///
public override void Train()
{
correlation = BinaryCosine.Create(user_attributes);
int num_users = user_attributes.NumberOfRows;
this.nearest_neighbors = new int[num_users][];
for (int u = 0; u < num_users; u++)
{
nearest_neighbors[u] = correlation.GetNearestNeighbors(u, k);
}
}
///
public override void Train()
{
this.correlation = BinaryCosine.Create(Feedback.UserMatrix);
int num_users = MaxUserID + 1;
this.nearest_neighbors = new int[num_users][];
for (int u = 0; u < num_users; u++)
{
nearest_neighbors[u] = correlation.GetNearestNeighbors(u, k);
}
}
///
public override void Train()
{
correlation = BinaryCosine.Create(Feedback.ItemMatrix);
int num_items = MaxItemID + 1;
this.nearest_neighbors = new int[num_items][];
for (int i = 0; i < num_items; i++)
{
nearest_neighbors[i] = correlation.GetNearestNeighbors(i, k);
}
}
[Test()] public void TestCreate()
{
// create test objects
var sparse_boolean_matrix = new SparseBooleanMatrix();
sparse_boolean_matrix[0, 1] = true;
sparse_boolean_matrix[0, 4] = true;
sparse_boolean_matrix[1, 0] = true;
sparse_boolean_matrix[1, 2] = true;
sparse_boolean_matrix[1, 4] = true;
sparse_boolean_matrix[3, 1] = true;
sparse_boolean_matrix[3, 3] = true;
sparse_boolean_matrix[3, 4] = true;
// test
var correlation_matrix = BinaryCosine.Create(sparse_boolean_matrix);
Assert.AreEqual(Math.Round(1 / Math.Sqrt(6), 4), Math.Round(correlation_matrix[0, 1], 4));
Assert.AreEqual(Math.Round(1 / Math.Sqrt(6), 4), Math.Round(correlation_matrix[1, 0], 4));
Assert.AreEqual(Math.Round(1 / 3d, 4), Math.Round(correlation_matrix[1, 3], 4));
}
///
public override void Train()
{
base.Train();
this.correlation = BinaryCosine.Create(user_attributes);
}
///
public override void Train()
{
base.Train();
this.correlation = BinaryCosine.Create(data_user);
}
///
public override void Train()
{
base.Train();
this.correlation = BinaryCosine.Create(data_item);
this.GetPositivelyCorrelatedEntities = Utils.Memoize <int, IList <int> >(correlation.GetPositivelyCorrelatedEntities);
}