AbstractVector (Mahout Math 0.10.1 API)

java.lang.Object
- org.apache.mahout.math.AbstractVector

All Implemented Interfaces:

Cloneable, Vector

Direct Known Subclasses:

AbstractMatrix.TransposeViewVector, ConstantVector, DenseVector, DiagonalMatrix.SingleElementVector, MatrixVectorView, PermutedVectorView, RandomAccessSparseVector, SequentialAccessSparseVector, VectorView
```
public abstract class AbstractVector
extends Object
implements Vector
```
Implementations of generic capabilities like sum of elements and dot products

Nested Class Summary

Nested Classes
Modifier and Type Class and Description

protected class AbstractVector.LocalElement
- Nested classes/interfaces inherited from interface org.apache.mahout.math.Vector
  Vector.Element

Nested Classes
Modifier and Type	Class and Description
`protected class`	`AbstractVector.LocalElement`

Field Summary

Fields
Modifier and Type Field and Description

protected double lengthSquared

Fields
Modifier and Type	Field and Description
`protected double`	`lengthSquared`

Constructor Summary

Constructors
Modifier Constructor and Description

protected AbstractVector(int size)

Constructors
Modifier	Constructor and Description
`protected`	`AbstractVector(int size)`

Method Summary

Methods
Modifier and Type	Method and Description
`double`	`aggregate(DoubleDoubleFunction aggregator, DoubleFunction map)` Aggregates a vector by applying a mapping function fm(x) to every component and aggregating the results with an aggregating function fa(x, y).
`double`	`aggregate(Vector other, DoubleDoubleFunction aggregator, DoubleDoubleFunction combiner)` Generalized inner product - take two vectors, iterate over them both, using the combiner to combine together (and possibly map in some way) each pair of values, which are then aggregated with the previous accumulated value in the combiner.
`Iterable<Vector.Element>`	`all()`
`String`	`asFormatString()`
`Vector`	`assign(double value)` Assign the value to all elements of the receiver
`Vector`	`assign(double[] values)` Assign the values to the receiver
`Vector`	`assign(DoubleDoubleFunction f, double y)` Apply the function to each element of the receiver, using the y value as the second argument of the DoubleDoubleFunction
`Vector`	`assign(DoubleFunction f)` Apply the function to each element of the receiver
`Vector`	`assign(Vector other)` Assign the other vector values to the receiver
`Vector`	`assign(Vector other, DoubleDoubleFunction function)` Apply the function to each element of the receiver and the corresponding element of the other argument
`Vector`	`clone()` Return a copy of the recipient
`protected Vector`	`createOptimizedCopy()` Copy the current vector in the most optimum fashion.
`Matrix`	`cross(Vector other)` Return the cross product of the receiver and the other vector
`Vector`	`divide(double x)` Return a new vector containing the values of the recipient divided by the argument
`double`	`dot(Vector x)` Return the dot product of the recipient and the argument
`protected double`	`dotSelf()`
`boolean`	`equals(Object o)` Determines whether this `Vector` represents the same logical vector as another object.
`double`	`get(int index)` Return the value at the given index
`double`	`getDistanceSquared(Vector that)` Get the square of the distance between this vector and the other vector.
`Vector.Element`	`getElement(int index)` Return an object of Vector.Element representing an element of this Vector.
`double`	`getLengthSquared()` Return the sum of squares of all elements in the vector.
`int`	`getNumNonZeroElements()` Return the number of non zero elements in the vector.
`int`	`hashCode()`
`void`	`incrementQuick(int index, double increment)` Increment the value at the given index by the given value.
`void`	`invalidateCachedLength()` Invalidates the length cache.
`protected abstract Iterator<Vector.Element>`	`iterateNonZero()` Iterates over all non-zero elements.
`protected abstract Iterator<Vector.Element>`	`iterator()` Iterates over all elements * NOTE: Implementations may choose to reuse the Element returned for performance reasons, so if you need a copy of it, you should call `getElement(int)` for the given index
`Vector`	`logNormalize()` Return a new vector containing the log(1 + entry)/ L_2 norm values of the recipient
`Vector`	`logNormalize(double power)` Return a new Vector with a normalized value calculated as log_power(1 + entry)/ L_power norm.
`Vector`	`logNormalize(double power, double normLength)`
`protected abstract Matrix`	`matrixLike(int rows, int columns)` Subclasses must override to return an appropriately sparse or dense result
`double`	`maxValue()`
`int`	`maxValueIndex()`
`Vector`	`minus(Vector that)` Return a new vector containing the element by element difference of the recipient and the argument
`double`	`minValue()`
`int`	`minValueIndex()`
`Iterable<Vector.Element>`	`nonZeroes()`
`double`	`norm(double power)` Return the k-norm of the vector.
`Vector`	`normalize()` Return a new vector containing the normalized (L_2 norm) values of the recipient
`Vector`	`normalize(double power)` Return a new Vector containing the normalized (L_power norm) values of the recipient.
`Vector`	`plus(double x)` Return a new vector containing the sum of each value of the recipient and the argument
`Vector`	`plus(Vector that)` Return a new vector containing the element by element sum of the recipient and the argument
`void`	`set(int index, double value)` Set the value at the given index
`int`	`size()` Return the cardinality of the recipient (the maximum number of values)
`String`	`sparseVectorToString()` toString() implementation for sparse vectors via `nonZeroes()` method
`Vector`	`times(double x)` Return a new vector containing the product of each value of the recipient and the argument
`Vector`	`times(Vector that)` Return a new vector containing the element-wise product of the recipient and the argument
`String`	`toString()`
`String`	`toString(String[] dictionary)`
`Vector`	`viewPart(int offset, int length)` Return a new vector containing the subset of the recipient
`double`	`zSum()` Return the sum of all the elements of the receiver

Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.apache.mahout.math.Vector
getIteratorAdvanceCost, getLookupCost, getNumNondefaultElements, getQuick, isAddConstantTime, isDense, isSequentialAccess, like, mergeUpdates, setQuick

- Field Detail
  - lengthSquared
```
protected double lengthSquared
```
- Constructor Detail
  - AbstractVector
```
protected AbstractVector(int size)
```
- Method Detail
  - all
```
public Iterable<Vector.Element> all()
```
    Specified by:
    
    all in interface Vector
  - nonZeroes
```
public Iterable<Vector.Element> nonZeroes()
```
    Specified by:
    
    nonZeroes in interface Vector
  - iterator
```
protected abstract Iterator<Vector.Element> iterator()
```
    Iterates over all elements
    * NOTE: Implementations may choose to reuse the Element returned for performance reasons, so if you need a copy of it, you should call getElement(int) for the given index
    
    Returns:
    An Iterator over all elements
  - iterateNonZero
```
protected abstract Iterator<Vector.Element> iterateNonZero()
```
    Iterates over all non-zero elements.
    NOTE: Implementations may choose to reuse the Element returned for performance reasons, so if you need a copy of it, you should call getElement(int) for the given index
    
    Returns:
    An Iterator over all non-zero elements
  - aggregate
```
public double aggregate(DoubleDoubleFunction aggregator,
               DoubleFunction map)
```
    Aggregates a vector by applying a mapping function fm(x) to every component and aggregating the results with an aggregating function fa(x, y).
    
    Specified by:
    
    aggregate in interface Vector
    
    Parameters:
    aggregator - used to combine the current value of the aggregation with the result of map.apply(nextValue)
    map - a function to apply to each element of the vector in turn before passing to the aggregator
    
    Returns:
    the result of the aggregation
  - aggregate
```
public double aggregate(Vector other,
               DoubleDoubleFunction aggregator,
               DoubleDoubleFunction combiner)
```
    Description copied from interface: Vector
    
    Generalized inner product - take two vectors, iterate over them both, using the combiner to combine together (and possibly map in some way) each pair of values, which are then aggregated with the previous accumulated value in the combiner.
    
    Example: dot(other) could be expressed as aggregate(other, Plus, Times), and kernelized inner products (which are symmetric on the indices) work similarly.
    
    Specified by:
    
    aggregate in interface Vector
    
    Parameters:
    other - a vector to aggregate in combination with
    aggregator - function we're aggregating with; fa
    combiner - function we're combining with; fc
    
    Returns:
    the final aggregation; if r0 = fc(this[0], other[0]), ri = fa(r_{i-1}, fc(this[i], other[i])) for all i > 0
  - matrixLike
```
protected abstract Matrix matrixLike(int rows,
                int columns)
```
    Subclasses must override to return an appropriately sparse or dense result
    
    Parameters:
    rows - the row cardinality
    columns - the column cardinality
    
    Returns:
    a Matrix
  - viewPart
```
public Vector viewPart(int offset,
              int length)
```
    Description copied from interface: Vector
    
    Return a new vector containing the subset of the recipient
    
    Specified by:
    
    viewPart in interface Vector
    
    Parameters:
    offset - an int offset into the receiver
    length - the cardinality of the desired result
    
    Returns:
    a new Vector
  - clone
```
public Vector clone()
```
    Description copied from interface: Vector
    
    Return a copy of the recipient
    
    Specified by:
    
    clone in interface Vector
    
    Overrides:
    
    clone in class Object
    
    Returns:
    a new Vector
  - divide
```
public Vector divide(double x)
```
    Description copied from interface: Vector
    
    Return a new vector containing the values of the recipient divided by the argument
    
    Specified by:
    
    divide in interface Vector
    
    Parameters:
    x - a double value
    
    Returns:
    a new Vector
  - dot
```
public double dot(Vector x)
```
    Description copied from interface: Vector
    
    Return the dot product of the recipient and the argument
    
    Specified by:
    
    dot in interface Vector
    
    Parameters:
    x - a Vector
    
    Returns:
    a new Vector
  - dotSelf
```
protected double dotSelf()
```
  - get
```
public double get(int index)
```
    Description copied from interface: Vector
    
    Return the value at the given index
    
    Specified by:
    
    get in interface Vector
    
    Parameters:
    index - an int index
    
    Returns:
    the double at the index
  - getElement
```
public Vector.Element getElement(int index)
```
    Description copied from interface: Vector
    
    Return an object of Vector.Element representing an element of this Vector. Useful when designing new iterator types.
    
    Specified by:
    
    getElement in interface Vector
    
    Parameters:
    index - Index of the Vector.Element required
    
    Returns:
    The Vector.Element Object
  - normalize
```
public Vector normalize()
```
    Description copied from interface: Vector
    
    Return a new vector containing the normalized (L_2 norm) values of the recipient
    
    Specified by:
    
    normalize in interface Vector
    
    Returns:
    a new Vector
  - normalize
```
public Vector normalize(double power)
```
    Description copied from interface: Vector
    
    Return a new Vector containing the normalized (L_power norm) values of the recipient.
    See http://en.wikipedia.org/wiki/Lp_space
    Technically, when 0 < power < 1, we don't have a norm, just a metric, but we'll overload this here.
    Also supports power == 0 (number of non-zero elements) and power = Double.POSITIVE_INFINITY (max element). Again, see the Wikipedia page for more info
    
    Specified by:
    
    normalize in interface Vector
    
    Parameters:
    power - The power to use. Must be >= 0. May also be Double.POSITIVE_INFINITY. See the Wikipedia link for more on this.
    
    Returns:
    a new Vector x such that norm(x, power) == 1
  - logNormalize
```
public Vector logNormalize()
```
    Description copied from interface: Vector
    
    Return a new vector containing the log(1 + entry)/ L_2 norm values of the recipient
    
    Specified by:
    
    logNormalize in interface Vector
    
    Returns:
    a new Vector
  - logNormalize
```
public Vector logNormalize(double power)
```
    Description copied from interface: Vector
    
    Return a new Vector with a normalized value calculated as log_power(1 + entry)/ L_power norm.
    
    Specified by:
    
    logNormalize in interface Vector
    
    Parameters:
    power - The power to use. Must be > 1. Cannot be Double.POSITIVE_INFINITY.
    
    Returns:
    a new Vector
  - logNormalize
```
public Vector logNormalize(double power,
                  double normLength)
```
  - norm
```
public double norm(double power)
```
    Description copied from interface: Vector
    
    Return the k-norm of the vector.
    See http://en.wikipedia.org/wiki/Lp_space
    Technically, when 0 > power < 1, we don't have a norm, just a metric, but we'll overload this here. Also supports power == 0 (number of non-zero elements) and power = Double.POSITIVE_INFINITY (max element). Again, see the Wikipedia page for more info.
    
    Specified by:
    
    norm in interface Vector
    
    Parameters:
    power - The power to use.
    See Also:
    Vector.normalize(double)
  - getLengthSquared
```
public double getLengthSquared()
```
    Description copied from interface: Vector
    
    Return the sum of squares of all elements in the vector. Square root of this value is the length of the vector.
    
    Specified by:
    
    getLengthSquared in interface Vector
    
    Returns:
    The sum of the squares of all elements in the vector.
  - invalidateCachedLength
```
public void invalidateCachedLength()
```
    Invalidates the length cache. This should be called by all mutators of the vector.
  - getDistanceSquared
```
public double getDistanceSquared(Vector that)
```
    Description copied from interface: Vector
    
    Get the square of the distance between this vector and the other vector.
    
    Specified by:
    
    getDistanceSquared in interface Vector
  - maxValue
```
public double maxValue()
```
    Specified by:
    
    maxValue in interface Vector
    
    Returns:
    The maximum value in the Vector
  - maxValueIndex
```
public int maxValueIndex()
```
    Specified by:
    
    maxValueIndex in interface Vector
    
    Returns:
    The index of the maximum value
  - minValue
```
public double minValue()
```
    Specified by:
    
    minValue in interface Vector
    
    Returns:
    The minimum value in the Vector
  - minValueIndex
```
public int minValueIndex()
```
    Specified by:
    
    minValueIndex in interface Vector
    
    Returns:
    The index of the minimum value
  - plus
```
public Vector plus(double x)
```
    Description copied from interface: Vector
    
    Return a new vector containing the sum of each value of the recipient and the argument
    
    Specified by:
    
    plus in interface Vector
    
    Parameters:
    x - a double
    
    Returns:
    a new Vector
  - plus
```
public Vector plus(Vector that)
```
    Description copied from interface: Vector
    
    Return a new vector containing the element by element sum of the recipient and the argument
    
    Specified by:
    
    plus in interface Vector
    
    Parameters:
    that - a Vector
    
    Returns:
    a new Vector
  - minus
```
public Vector minus(Vector that)
```
    Description copied from interface: Vector
    
    Return a new vector containing the element by element difference of the recipient and the argument
    
    Specified by:
    
    minus in interface Vector
    
    Parameters:
    that - a Vector
    
    Returns:
    a new Vector
  - set
```
public void set(int index,
       double value)
```
    Description copied from interface: Vector
    
    Set the value at the given index
    
    Specified by:
    
    set in interface Vector
    
    Parameters:
    index - an int index into the receiver
    value - a double value to set
  - incrementQuick
```
public void incrementQuick(int index,
                  double increment)
```
    Description copied from interface: Vector
    
    Increment the value at the given index by the given value.
    
    Specified by:
    
    incrementQuick in interface Vector
    
    Parameters:
    index - an int index into the receiver
    increment - sets the value at the given index to value + increment;
  - times
```
public Vector times(double x)
```
    Description copied from interface: Vector
    
    Return a new vector containing the product of each value of the recipient and the argument
    
    Specified by:
    
    times in interface Vector
    
    Parameters:
    x - a double argument
    
    Returns:
    a new Vector
  - createOptimizedCopy
```
protected Vector createOptimizedCopy()
```
    Copy the current vector in the most optimum fashion. Used by immutable methods like plus(), minus(). Use this instead of vector.like().assign(vector). Sub-class can choose to override this method.
    
    Returns:
    a copy of the current vector.
  - times
```
public Vector times(Vector that)
```
    Description copied from interface: Vector
    
    Return a new vector containing the element-wise product of the recipient and the argument
    
    Specified by:
    
    times in interface Vector
    
    Parameters:
    that - a Vector argument
    
    Returns:
    a new Vector
  - zSum
```
public double zSum()
```
    Description copied from interface: Vector
    
    Return the sum of all the elements of the receiver
    
    Specified by:
    
    zSum in interface Vector
    
    Returns:
    a double
  - getNumNonZeroElements
```
public int getNumNonZeroElements()
```
    Description copied from interface: Vector
    
    Return the number of non zero elements in the vector.
    
    Specified by:
    
    getNumNonZeroElements in interface Vector
    
    Returns:
    an int
  - assign
```
public Vector assign(double value)
```
    Description copied from interface: Vector
    
    Assign the value to all elements of the receiver
    
    Specified by:
    
    assign in interface Vector
    
    Parameters:
    value - a double value
    
    Returns:
    the modified receiver
  - assign
```
public Vector assign(double[] values)
```
    Description copied from interface: Vector
    
    Assign the values to the receiver
    
    Specified by:
    
    assign in interface Vector
    
    Parameters:
    values - a double[] of values
    
    Returns:
    the modified receiver
  - assign
```
public Vector assign(Vector other)
```
    Description copied from interface: Vector
    
    Assign the other vector values to the receiver
    
    Specified by:
    
    assign in interface Vector
    
    Parameters:
    other - a Vector
    
    Returns:
    the modified receiver
  - assign
```
public Vector assign(DoubleDoubleFunction f,
            double y)
```
    Description copied from interface: Vector
    
    Apply the function to each element of the receiver, using the y value as the second argument of the DoubleDoubleFunction
    
    Specified by:
    
    assign in interface Vector
    
    Parameters:
    f - a DoubleDoubleFunction to be applied
    y - a double value to be argument to the function
    
    Returns:
    the modified receiver
  - assign
```
public Vector assign(DoubleFunction f)
```
    Description copied from interface: Vector
    
    Apply the function to each element of the receiver
    
    Specified by:
    
    assign in interface Vector
    
    Parameters:
    f - a DoubleFunction to apply
    
    Returns:
    the modified receiver
  - assign
```
public Vector assign(Vector other,
            DoubleDoubleFunction function)
```
    Description copied from interface: Vector
    
    Apply the function to each element of the receiver and the corresponding element of the other argument
    
    Specified by:
    
    assign in interface Vector
    
    Parameters:
    other - a Vector containing the second arguments to the function
    function - a DoubleDoubleFunction to apply
    
    Returns:
    the modified receiver
  - cross
```
public Matrix cross(Vector other)
```
    Description copied from interface: Vector
    
    Return the cross product of the receiver and the other vector
    
    Specified by:
    
    cross in interface Vector
    
    Parameters:
    other - another Vector
    
    Returns:
    a Matrix
  - size
```
public final int size()
```
    Description copied from interface: Vector
    
    Return the cardinality of the recipient (the maximum number of values)
    
    Specified by:
    
    size in interface Vector
    
    Returns:
    an int
  - asFormatString
```
public String asFormatString()
```
    Specified by:
    
    asFormatString in interface Vector
    
    Returns:
    a formatted String suitable for output
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - equals
```
public boolean equals(Object o)
```
    Determines whether this Vector represents the same logical vector as another object. Two Vectors are equal (regardless of implementation) if the value at each index is the same, and the cardinalities are the same.
    
    Overrides:
    
    equals in class Object
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class Object
  - toString
```
public String toString(String[] dictionary)
```
  - sparseVectorToString
```
public String sparseVectorToString()
```
    toString() implementation for sparse vectors via nonZeroes() method
    
    Returns:
    String representation of the vector

Class AbstractVector

Nested Class Summary

Nested classes/interfaces inherited from interface org.apache.mahout.math.Vector

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface org.apache.mahout.math.Vector

Field Detail

lengthSquared

Constructor Detail

AbstractVector

Method Detail

all

nonZeroes

iterator

iterateNonZero

aggregate

aggregate

matrixLike

viewPart

clone

divide

dot

dotSelf

get

getElement

normalize

normalize

logNormalize

logNormalize

logNormalize

norm

getLengthSquared

invalidateCachedLength

getDistanceSquared

maxValue

maxValueIndex

minValue

minValueIndex

plus

plus

minus

set

incrementQuick

times

createOptimizedCopy

times

zSum

getNumNonZeroElements

assign

assign

assign

assign

assign

assign

cross

size

asFormatString

hashCode

equals

toString

toString

sparseVectorToString