distributed

Type Members

1. class BlockMatrix extends DistributedMatrix with Logging

   

   Represents a distributed matrix in blocks of local matrices.

   Represents a distributed matrix in blocks of local matrices.

   Annotations

   @Since( "1.3.0" )

2. class CoordinateMatrix extends DistributedMatrix

   

   Represents a matrix in coordinate format.

   Represents a matrix in coordinate format.

   Annotations

   @Since( "1.0.0" )

3. trait DistributedMatrix extends Serializable

   

   Represents a distributively stored matrix backed by one or more RDDs.

   Represents a distributively stored matrix backed by one or more RDDs.

   Annotations

   @Since( "1.0.0" )

4. case class IndexedRow(index: Long, vector: Vector) extends Product with Serializable

   

   Represents a row of org.apache.spark.mllib.linalg.distributed.IndexedRowMatrix.

   Represents a row of org.apache.spark.mllib.linalg.distributed.IndexedRowMatrix.

   Annotations

   @Since( "1.0.0" )

5. class IndexedRowMatrix extends DistributedMatrix

   

   Represents a row-oriented org.apache.spark.mllib.linalg.distributed.DistributedMatrix with indexed rows.

   Represents a row-oriented org.apache.spark.mllib.linalg.distributed.DistributedMatrix with indexed rows.

   Annotations

   @Since( "1.0.0" )

6. case class MatrixEntry(i: Long, j: Long, value: Double) extends Product with Serializable

   

   Represents an entry in a distributed matrix.

   Represents an entry in a distributed matrix.

   i

   row index

   j

   column index

   value

   value of the entry

   Annotations

   @Since( "1.0.0" )

7. class RowMatrix extends DistributedMatrix with Logging

   

   Represents a row-oriented distributed Matrix with no meaningful row indices.

   Represents a row-oriented distributed Matrix with no meaningful row indices.

   Annotations

   @Since( "1.0.0" )