org.apache.spark.mllib.linalg

Class SparseVector

Object

org.apache.spark.mllib.linalg.SparseVector

All Implemented Interfaces:

java.io.Serializable, Vector

public class SparseVector
extends Object
implements Vector

A sparse vector represented by an index array and an value array.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
SparseVector(int size, int[] indices, double[] values)

Method Summary

Methods

Modifier and Type	Method and Description
SparseVector	copy() Makes a deep copy of this vector.
int[]	indices()
int	size() Size of the vector.
double[]	toArray() Converts the instance to a double array.
String	toString()
double[]	values()

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.apache.spark.mllib.linalg.Vector

apply, equals, hashCode

Constructor Detail

SparseVector

public SparseVector(int size,
            int[] indices,
            double[] values)

Method Detail

size

public int size()

Description copied from interface: Vector

Size of the vector.

Specified by:

size in interface Vector

indices

public int[] indices()

values

public double[] values()

toString

public String toString()

Overrides:

toString in class Object

toArray

public double[] toArray()

Description copied from interface: Vector

Converts the instance to a double array.

Specified by:

toArray in interface Vector

copy

public SparseVector copy()

Description copied from interface: Vector

Makes a deep copy of this vector.

Specified by:

copy in interface Vector