org.apache.spark.mllib.linalg

Class SparseVector

java.lang.Object

org.apache.spark.mllib.linalg.SparseVector

All Implemented Interfaces:

java.io.Serializable, Vector

public class SparseVector
extends java.lang.Object
implements Vector

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

param: size size of the vector. param: indices index array, assume to be strictly increasing. param: values value array, must have the same length as the index 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
static double	apply(int i)
int	argmax() Find the index of a maximal element.
static Vector	compressed()
SparseVector	copy() Makes a deep copy of this vector.
boolean	equals(java.lang.Object other)
void	foreachActive(scala.Function2<java.lang.Object,java.lang.Object,scala.runtime.BoxedUnit> f) Applies a function f to all the active elements of dense and sparse vector.
int	hashCode() Returns a hash code value for the vector.
int[]	indices()
int	numActives() Number of active entries.
int	numNonzeros() Number of nonzero elements.
int	size() Size of the vector.
double[]	toArray() Converts the instance to a double array.
static DenseVector	toDense()
java.lang.String	toJson() Converts the vector to a JSON string.
SparseVector	toSparse() Converts this vector to a sparse vector with all explicit zeros removed.
java.lang.String	toString()
static scala.Option<scala.Tuple3<java.lang.Object,int[],double[]>>	unapply(SparseVector sv)
double[]	values()

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

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

apply, compressed, toDense

Constructor Detail

SparseVector

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

Method Detail

unapply

public static scala.Option<scala.Tuple3<java.lang.Object,int[],double[]>> unapply(SparseVector sv)

apply

public static double apply(int i)

toDense

public static DenseVector toDense()

compressed

public static Vector compressed()

size

public int size()

Description copied from interface: Vector

Size of the vector.

Specified by:

size in interface Vector

Returns:

(undocumented)

indices

public int[] indices()

values

public double[] values()

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

toArray

public double[] toArray()

Description copied from interface: Vector

Converts the instance to a double array.

Specified by:

toArray in interface Vector

Returns:

(undocumented)

copy

public SparseVector copy()

Description copied from interface: Vector

Makes a deep copy of this vector.

Specified by:

copy in interface Vector

Returns:

(undocumented)

foreachActive

public void foreachActive(scala.Function2<java.lang.Object,java.lang.Object,scala.runtime.BoxedUnit> f)

Description copied from interface: Vector

Applies a function f to all the active elements of dense and sparse vector.

Specified by:

foreachActive in interface Vector

Parameters:

f - the function takes two parameters where the first parameter is the index of the vector with type Int, and the second parameter is the corresponding value with type Double.

equals

public boolean equals(java.lang.Object other)

Specified by:

equals in interface Vector

Overrides:

equals in class java.lang.Object

hashCode

public int hashCode()

Description copied from interface: Vector

Returns a hash code value for the vector. The hash code is based on its size and its first 128 nonzero entries, using a hash algorithm similar to java.util.Arrays.hashCode.

Specified by:

hashCode in interface Vector

Overrides:

hashCode in class java.lang.Object

Returns:

(undocumented)

numActives

public int numActives()

Description copied from interface: Vector

Number of active entries. An "active entry" is an element which is explicitly stored, regardless of its value. Note that inactive entries have value 0.

Specified by:

numActives in interface Vector

Returns:

(undocumented)

numNonzeros

public int numNonzeros()

Description copied from interface: Vector

Number of nonzero elements. This scans all active values and count nonzeros.

Specified by:

numNonzeros in interface Vector

Returns:

(undocumented)

toSparse

public SparseVector toSparse()

Description copied from interface: Vector

Converts this vector to a sparse vector with all explicit zeros removed.

Specified by:

toSparse in interface Vector

Returns:

(undocumented)

argmax

public int argmax()

Description copied from interface: Vector

Find the index of a maximal element. Returns the first maximal element in case of a tie. Returns -1 if vector has length 0.

Specified by:

argmax in interface Vector

Returns:

(undocumented)

toJson

public java.lang.String toJson()

Description copied from interface: Vector

Converts the vector to a JSON string.

Specified by:

toJson in interface Vector

Returns:

(undocumented)