How to create SparseVector and dense Vector representations
if the DenseVector is:
denseV = np.array([0., 3., 0., 4.])
What will be the Sparse Vector representation ?
Unless I have thoroughly misunderstood your doubt, the MLlib data type documentation illustrates this quite clearly:
import org.apache.spark.mllib.linalg.Vector;
import org.apache.spark.mllib.linalg.Vectors;
// Create a dense vector (1.0, 0.0, 3.0).
Vector dv = Vectors.dense(1.0, 0.0, 3.0);
// Create a sparse vector (1.0, 0.0, 3.0) by specifying its indices and values corresponding to nonzero entries.
Vector sv = Vectors.sparse(3, new int[] {0, 2}, new double[] {1.0, 3.0});
Where the second argument of Vectors.sparse is an array of the indices, and the third argument is the array of the actual values in those indices.