org.apache.spark.mllib.linalg

Class Vectors

java.lang.Object

org.apache.spark.mllib.linalg.Vectors

public class Vectors
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
Vectors()

Method Summary

Methods

Modifier and Type	Method and Description
static Vector	dense(double[] values) Creates a dense vector from a double array.
static Vector	dense(double firstValue, double... otherValues) Creates a dense vector from its values.
static Vector	dense(double firstValue, scala.collection.Seq<java.lang.Object> otherValues) Creates a dense vector from its values.
static Vector	fromJson(java.lang.String json) Parses the JSON representation of a vector into a Vector.
static int	MAX_HASH_NNZ() Max number of nonzero entries used in computing hash code.
static double	norm(Vector vector, double p) Returns the p-norm of this vector.
static Vector	parse(java.lang.String s) Parses a string resulted from Vector.toString into a Vector.
static Vector	sparse(int size, int[] indices, double[] values) Creates a sparse vector providing its index array and value array.
static Vector	sparse(int size, java.lang.Iterable<scala.Tuple2<java.lang.Integer,java.lang.Double>> elements) Creates a sparse vector using unordered (index, value) pairs in a Java friendly way.
static Vector	sparse(int size, scala.collection.Seq<scala.Tuple2<java.lang.Object,java.lang.Object>> elements) Creates a sparse vector using unordered (index, value) pairs.
static double	sqdist(Vector v1, Vector v2) Returns the squared distance between two Vectors.
static Vector	zeros(int size) Creates a vector of all zeros.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Vectors

public Vectors()

Method Detail

dense

public static Vector dense(double firstValue,
           double... otherValues)

Creates a dense vector from its values.

Parameters:

firstValue - (undocumented)

otherValues - (undocumented)

Returns:

(undocumented)

dense

public static Vector dense(double firstValue,
           scala.collection.Seq<java.lang.Object> otherValues)

Creates a dense vector from its values.

Parameters:

firstValue - (undocumented)

otherValues - (undocumented)

Returns:

(undocumented)

dense

public static Vector dense(double[] values)

Creates a dense vector from a double array.

Parameters:

values - (undocumented)

Returns:

(undocumented)

sparse

public static Vector sparse(int size,
            int[] indices,
            double[] values)

Creates a sparse vector providing its index array and value array.

Parameters:

size - vector size.

indices - index array, must be strictly increasing.

values - value array, must have the same length as indices.

Returns:

(undocumented)

sparse

public static Vector sparse(int size,
            scala.collection.Seq<scala.Tuple2<java.lang.Object,java.lang.Object>> elements)

Creates a sparse vector using unordered (index, value) pairs.

Parameters:

size - vector size.

elements - vector elements in (index, value) pairs.

Returns:

(undocumented)

sparse

public static Vector sparse(int size,
            java.lang.Iterable<scala.Tuple2<java.lang.Integer,java.lang.Double>> elements)

Creates a sparse vector using unordered (index, value) pairs in a Java friendly way.

Parameters:

size - vector size.

elements - vector elements in (index, value) pairs.

Returns:

(undocumented)

zeros

public static Vector zeros(int size)

Creates a vector of all zeros.

Parameters:

size - vector size

Returns:

a zero vector

parse

public static Vector parse(java.lang.String s)

Parses a string resulted from Vector.toString into a Vector.

Parameters:

s - (undocumented)

Returns:

(undocumented)

fromJson

public static Vector fromJson(java.lang.String json)

Parses the JSON representation of a vector into a Vector.

Parameters:

json - (undocumented)

Returns:

(undocumented)

norm

public static double norm(Vector vector,
          double p)

Returns the p-norm of this vector.

Parameters:

vector - input vector.

p - norm.

Returns:

norm in L^p^ space.

sqdist

public static double sqdist(Vector v1,
            Vector v2)

Returns the squared distance between two Vectors.

Parameters:

v1 - first Vector.

v2 - second Vector.

Returns:

squared distance between two Vectors.

MAX_HASH_NNZ

public static int MAX_HASH_NNZ()

Max number of nonzero entries used in computing hash code.