jsat.linear

Class SubVector

java.lang.Object

jsat.linear.Vec

jsat.linear.SubVector

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, java.lang.Iterable<IndexValue>

public class SubVector
extends Vec

SubVector takes an already existing vector and creates a new one that is a subset of and backed by the original one. Altering the sub vector will effect the original and vise versa.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
SubVector(int startPosition, int length, Vec vec) Creates a new sub vector of the input vector

Method Summary

Modifier and Type	Method and Description
Vec	clone()
double	get(int index) Gets the value stored at a specific index in the vector
java.util.Iterator<IndexValue>	getNonZeroIterator(int start) Returns an iterator that will go over the non zero values starting from the specified index in the given vector.
boolean	isSparse() Indicates whether or not this vector is optimized for sparce computation, meaning that most values in the vector are zero - and considered implicit.
int	length() Returns the length of this vector
void	set(int index, double val) Sets the value stored at a specified index in the vector

Methods inherited from class jsat.linear.Vec

add, add, applyFunction, applyIndexFunction, arrayCopy, canBeMutated, copyTo, copyToCol, copyToRow, countNaNs, divide, dot, equals, equals, getNonZeroIterator, hashCode, increment, iterator, kurtosis, max, mean, median, min, multiply, multiply, multiply, multiply, mutableAdd, mutableAdd, mutableAdd, mutableDivide, mutableMultiply, mutablePairwiseDivide, mutablePairwiseMultiply, mutableSubtract, mutableSubtract, mutableSubtract, nnz, normalize, normalized, pairwiseDivide, pairwiseMultiply, pNorm, pNormDist, random, random, skewness, sortedCopy, standardDeviation, subtract, subtract, sum, toString, variance, zeroOut, zeros

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Constructor Detail

SubVector

public SubVector(int startPosition,
                 int length,
                 Vec vec)

Creates a new sub vector of the input vector

Parameters:

startPosition - the starting index (inclusive) or the original vector

length - the length of the new sub vector

vec - the original vector to back this sub vector.

Method Detail

length

public int length()

Description copied from class: Vec

Returns the length of this vector

Specified by:

length in class Vec

Returns:

the length of this vector

get

public double get(int index)

Description copied from class: Vec

Gets the value stored at a specific index in the vector

Specified by:

get in class Vec

Parameters:

index - the index to access

Returns:

the double value in the vector

set

public void set(int index,
                double val)

Description copied from class: Vec

Sets the value stored at a specified index in the vector

Specified by:

set in class Vec

Parameters:

index - the index to access

val - the value to store in the index

isSparse

public boolean isSparse()

Description copied from class: Vec

Indicates whether or not this vector is optimized for sparce computation, meaning that most values in the vector are zero - and considered implicit. Only non-zero values are stored.

Specified by:

isSparse in class Vec

Returns:

true if the vector is sparce, false otherwise.

getNonZeroIterator

public java.util.Iterator<IndexValue> getNonZeroIterator(int start)

Description copied from class: Vec

Returns an iterator that will go over the non zero values starting from the specified index in the given vector. The iterator does not support the Iterator.remove() method.

This method should be overloaded for a serious implementation.

Overrides:

getNonZeroIterator in class Vec

Parameters:

start - the first index (inclusive) to start returning non-zero values from

Returns:

an iterator for the non zero index value pairs

clone

public Vec clone()

Specified by:

clone in class Vec