VecPaired

Documentation of 'jsat.linear.VecPaired' Java class VecPaired

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java.lang.Object
- jsat.linear.Vec
- - jsat.linear.VecPaired<V,P>

All Implemented Interfaces:

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

Direct Known Subclasses:

VecPairedComparable
```
public class VecPaired<V extends Vec,P>
extends Vec
```
This data structure allows to wrap a Vector so that it is associated with some object time. Note, that operations that return a vector will not be a Paired Vector, as there is no reason to associate a different vector with this vector's pair.

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor and Description

VecPaired(V v, P p)

Constructors
Constructor and Description
`VecPaired(V v, P p)`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`Vec`	`add(double c)` Returns a new vector that is the result of `this + c`
`Vec`	`add(Vec b)` Returns a new vector that is the result of `this + b`
`double[]`	`arrayCopy()` Creates a new array that contains all the values of this vector in the appropriate indices
`Vec`	`clone()`
`Vec`	`divide(double c)` Returns a new vector that is the result of `this / c`
`double`	`dot(Vec v)` Computes the dot product between two vectors, which is equivalent to Σ this_i*v_i This method should be overloaded for a serious implementation.
`boolean`	`equals(java.lang.Object obj)`
`boolean`	`equals(java.lang.Object obj, double range)`
`static Vec`	`extractTrueVec(Vec b)` This method is used assuming multiple VecPaired are used together.
`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.
`P`	`getPair()`
`V`	`getVector()`
`int`	`hashCode()` Provides a hashcode for Vectors.
`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.
`double`	`kurtosis()` Computes the kurtosis of this vector, which is the 4th moment.
`int`	`length()` Returns the length of this vector
`double`	`max()` Returns the maximum value stored in this vector
`double`	`mean()` Computes the mean value of all values stored in this vector
`double`	`median()` Returns the median value in this vector
`double`	`min()` Returns the minimum value stored in this vector
`Vec`	`multiply(double c)` Returns a new vector that is the result of `this * c`
`void`	`multiply(double c, Matrix A, Vec b)` If this is vector `a`, this this computes b = b + c `a`^T*`A`
`void`	`mutableAdd(double c)` Alters this vector such that `this` = `this` + `c` This method should be overloaded for a serious implementation.
`void`	`mutableAdd(double c, Vec b)` Alters this vector such that `this` = `this` + `c` * `b` This method should be overloaded for a serious implementation.
`void`	`mutableAdd(Vec b)` Alters this vector such that `this` = `this` + `b`
`void`	`mutableDivide(double c)` Mutates `this /= c` This method should be overloaded for a serious implementation.
`void`	`mutableMultiply(double c)` Mutates `this *= c` This method should be overloaded for a serious implementation.
`void`	`mutablePairwiseDivide(Vec b)` Mutates `this` by dividing each value by the value in `b` that has the same index This method should be overloaded for a serious implementation.
`void`	`mutablePairwiseMultiply(Vec b)` Mutates `this` by multiplying each value by the value in `b` that has the same index.
`void`	`mutableSubtract(Vec b)` Alters this vector such that `this` = `this` - `b`
`int`	`nnz()` Computes the number of non zero values in this vector
`void`	`normalize()` Mutates this vector to be normalized by the L₂ norm
`Vec`	`normalized()` Returns a new vector that is the result of normalizing this vector by the L₂ norm
`Vec`	`pairwiseDivide(Vec b)` Returns a new vector that is the result of dividing each value in `this` by the value in the same index in `b`
`Vec`	`pairwiseMultiply(Vec b)` Returns a new vector that is the result of multiplying each value in `this` by its corresponding value in `b`
`double`	`pNorm(double p)` Returns the p-norm of this vector.
`double`	`pNormDist(double p, Vec y)` Returns the p-norm distance between this and another vector y.
`void`	`set(int index, double val)` Sets the value stored at a specified index in the vector
`void`	`setPair(P pair)`
`void`	`setVector(V vector)`
`double`	`skewness()` Computes the skewness of this vector, which is the 3rd moment.
`Vec`	`sortedCopy()` Returns a copy of this array with the values moved around so that they are in sorted order
`double`	`standardDeviation()` Computes the standard deviation of the values in this vector
`Vec`	`subtract(Vec b)` Returns a new vector that is the result of `this - b`
`double`	`sum()` Computes the sum of the values in this vector
`java.lang.String`	`toString()`
`double`	`variance()` Computes the variance of the values in this vector, which is `Vec.standardDeviation()`²
`static <V extends Vec,P extends java.lang.Comparable<P>> java.util.Comparator<VecPaired<V,P>>`	`vecPairedComparator()`

Methods inherited from class jsat.linear.Vec
applyFunction, applyIndexFunction, canBeMutated, copyTo, copyToCol, copyToRow, countNaNs, getNonZeroIterator, increment, iterator, multiply, multiply, mutableSubtract, mutableSubtract, random, random, subtract, 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
  - VecPaired
```
public VecPaired(V v,
                 P p)
```
- Method Detail
  - getPair
```
public P getPair()
```
  - setPair
```
public void setPair(P pair)
```
  - getVector
```
public V getVector()
```
  - setVector
```
public void setVector(V vector)
```
  - 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
  - nnz
```
public int nnz()
```
    Description copied from class: Vec
    
    Computes the number of non zero values in this vector
    
    Overrides:
    
    nnz in class Vec
    
    Returns:
    
    the number of non zero values stored
  - 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
  - add
```
public Vec add(double c)
```
    Description copied from class: Vec
    
    Returns a new vector that is the result of this + c
    
    Overrides:
    
    add in class Vec
    
    Parameters:
    
    c - the constant to add
    
    Returns:
    
    the result of adding c to this
  - add
```
public Vec add(Vec b)
```
    Description copied from class: Vec
    
    Returns a new vector that is the result of this + b
    
    Overrides:
    
    add in class Vec
    
    Parameters:
    
    b - the vector to add
    
    Returns:
    
    the result of b + this
  - subtract
```
public Vec subtract(Vec b)
```
    Description copied from class: Vec
    
    Returns a new vector that is the result of this - b
    
    Overrides:
    
    subtract in class Vec
    
    Parameters:
    
    b - the vector to subtract from this
    
    Returns:
    
    the result of this - b
  - pairwiseMultiply
```
public Vec pairwiseMultiply(Vec b)
```
    Description copied from class: Vec
    
    Returns a new vector that is the result of multiplying each value in this by its corresponding value in b
    
    Overrides:
    
    pairwiseMultiply in class Vec
    
    Parameters:
    
    b - the vector to pairwise multiply by
    
    Returns:
    
    the result of the pairwise multiplication of b onto the values of this
  - multiply
```
public Vec multiply(double c)
```
    Description copied from class: Vec
    
    Returns a new vector that is the result of this * c
    
    Overrides:
    
    multiply in class Vec
    
    Parameters:
    
    c - the constant to multiply by
    
    Returns:
    
    the result of this * c
  - multiply
```
public void multiply(double c,
                     Matrix A,
                     Vec b)
```
    Description copied from class: Vec
    
    If this is vector a, this this computes b = b + c a^T*A
    
    Overrides:
    
    multiply in class Vec
    
    Parameters:
    
    c - the constant factor to multiply by
    
    A - the matrix to multiple by
    
    b - the vector to mutate by adding the result to
  - pairwiseDivide
```
public Vec pairwiseDivide(Vec b)
```
    Description copied from class: Vec
    
    Returns a new vector that is the result of dividing each value in this by the value in the same index in b
    
    Overrides:
    
    pairwiseDivide in class Vec
    
    Parameters:
    
    b - the vector to pairwise divide by
    
    Returns:
    
    the result of pairwise division of this by b
  - divide
```
public Vec divide(double c)
```
    Description copied from class: Vec
    
    Returns a new vector that is the result of this / c
    
    Overrides:
    
    divide in class Vec
    
    Parameters:
    
    c - the constant to divide by
    
    Returns:
    
    the result of this / c
  - mutableAdd
```
public void mutableAdd(double c)
```
    Description copied from class: Vec
    
    Alters this vector such that this = this + c
    
    This method should be overloaded for a serious implementation.
    
    Overrides:
    
    mutableAdd in class Vec
    
    Parameters:
    
    c - a scalar constant to add to each value in this vector
  - mutableAdd
```
public void mutableAdd(Vec b)
```
    Description copied from class: Vec
    
    Alters this vector such that this = this + b
    
    Overrides:
    
    mutableAdd in class Vec
    
    Parameters:
    
    b - the vector to add to this
  - mutableSubtract
```
public void mutableSubtract(Vec b)
```
    Description copied from class: Vec
    
    Alters this vector such that this = this - b
    
    Overrides:
    
    mutableSubtract in class Vec
    
    Parameters:
    
    b - the vector to subtract from this
  - mutablePairwiseMultiply
```
public void mutablePairwiseMultiply(Vec b)
```
    Description copied from class: Vec
    
    Mutates this by multiplying each value by the value in b that has the same index.
    
    This method should be overloaded for a serious implementation.
    
    Overrides:
    
    mutablePairwiseMultiply in class Vec
    
    Parameters:
    
    b - the vector to pairwise multiply by
  - mutableMultiply
```
public void mutableMultiply(double c)
```
    Description copied from class: Vec
    
    Mutates this *= c
    
    This method should be overloaded for a serious implementation.
    
    Overrides:
    
    mutableMultiply in class Vec
    
    Parameters:
    
    c - the constant to multiply by
  - mutablePairwiseDivide
```
public void mutablePairwiseDivide(Vec b)
```
    Description copied from class: Vec
    
    Mutates this by dividing each value by the value in b that has the same index
    
    This method should be overloaded for a serious implementation.
    
    Overrides:
    
    mutablePairwiseDivide in class Vec
    
    Parameters:
    
    b - the vector to pairwise divide by
  - mutableDivide
```
public void mutableDivide(double c)
```
    Description copied from class: Vec
    
    Mutates this /= c
    
    This method should be overloaded for a serious implementation.
    
    Overrides:
    
    mutableDivide in class Vec
    
    Parameters:
    
    c - the constant to divide by
  - sortedCopy
```
public Vec sortedCopy()
```
    Description copied from class: Vec
    
    Returns a copy of this array with the values moved around so that they are in sorted order
    
    Overrides:
    
    sortedCopy in class Vec
    
    Returns:
    
    a new array in sorted order
  - min
```
public double min()
```
    Description copied from class: Vec
    
    Returns the minimum value stored in this vector
    
    Overrides:
    
    min in class Vec
    
    Returns:
    
    the minimum value in this vector
  - max
```
public double max()
```
    Description copied from class: Vec
    
    Returns the maximum value stored in this vector
    
    Overrides:
    
    max in class Vec
    
    Returns:
    
    the maximum value in this vector
  - sum
```
public double sum()
```
    Description copied from class: Vec
    
    Computes the sum of the values in this vector
    
    Overrides:
    
    sum in class Vec
    
    Returns:
    
    the sum of this vector's values
  - mean
```
public double mean()
```
    Description copied from class: Vec
    
    Computes the mean value of all values stored in this vector
    
    Overrides:
    
    mean in class Vec
    
    Returns:
    
    the mean value
  - standardDeviation
```
public double standardDeviation()
```
    Description copied from class: Vec
    
    Computes the standard deviation of the values in this vector
    
    Overrides:
    
    standardDeviation in class Vec
    
    Returns:
    
    the standard deviation
  - variance
```
public double variance()
```
    Description copied from class: Vec
    
    Computes the variance of the values in this vector, which is Vec.standardDeviation()²
    
    Overrides:
    
    variance in class Vec
    
    Returns:
    
    the variance
  - median
```
public double median()
```
    Description copied from class: Vec
    
    Returns the median value in this vector
    
    Overrides:
    
    median in class Vec
    
    Returns:
    
    the median
  - skewness
```
public double skewness()
```
    Description copied from class: Vec
    
    Computes the skewness of this vector, which is the 3rd moment.
    
    Overrides:
    
    skewness in class Vec
    
    Returns:
    
    the skewness
  - kurtosis
```
public double kurtosis()
```
    Description copied from class: Vec
    
    Computes the kurtosis of this vector, which is the 4th moment.
    
    Overrides:
    
    kurtosis in class Vec
    
    Returns:
    
    the kurtosis
  - clone
```
public Vec clone()
```
    Specified by:
    
    clone in class Vec
  - normalized
```
public Vec normalized()
```
    Description copied from class: Vec
    
    Returns a new vector that is the result of normalizing this vector by the L₂ norm
    
    Overrides:
    
    normalized in class Vec
    
    Returns:
    
    a normalized version of this vector
  - normalize
```
public void normalize()
```
    Description copied from class: Vec
    
    Mutates this vector to be normalized by the L₂ norm
    
    Overrides:
    
    normalize in class Vec
  - pNormDist
```
public double pNormDist(double p,
                        Vec y)
```
    Description copied from class: Vec
    
    Returns the p-norm distance between this and another vector y.
    
    Overrides:
    
    pNormDist in class Vec
    
    Parameters:
    
    p - the distance type. 2 is the common value
    
    y - the other vector to compare against
    
    Returns:
    
    the p-norm distance
  - pNorm
```
public double pNorm(double p)
```
    Description copied from class: Vec
    
    Returns the p-norm of this vector.
    
    Overrides:
    
    pNorm in class Vec
    
    Parameters:
    
    p - the norm type. 2 is a common value
    
    Returns:
    
    the p-norm of this vector
  - dot
```
public double dot(Vec v)
```
    Description copied from class: Vec
    
    Computes the dot product between two vectors, which is equivalent to
    Σ this_i*v_i
    
    This method should be overloaded for a serious implementation.
    
    Overrides:
    
    dot in class Vec
    
    Parameters:
    
    v - the other vector
    
    Returns:
    
    the dot product of this vector and another
  - toString
```
public java.lang.String toString()
```
    Overrides:
    
    toString in class Vec
  - equals
```
public boolean equals(java.lang.Object obj)
```
    Overrides:
    
    equals in class Vec
  - equals
```
public boolean equals(java.lang.Object obj,
                      double range)
```
    Overrides:
    
    equals in class Vec
  - arrayCopy
```
public double[] arrayCopy()
```
    Description copied from class: Vec
    
    Creates a new array that contains all the values of this vector in the appropriate indices
    
    Overrides:
    
    arrayCopy in class Vec
    
    Returns:
    
    a new array that is a copy of this vector
  - mutableAdd
```
public void mutableAdd(double c,
                       Vec b)
```
    Description copied from class: Vec
    
    Alters this vector such that this = this + c * b
    
    This method should be overloaded for a serious implementation.
    
    Overrides:
    
    mutableAdd in class Vec
    
    Parameters:
    
    c - a scalar constant
    
    b - the vector to add to this
  - 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
  - extractTrueVec
```
public static Vec extractTrueVec(Vec b)
```
    This method is used assuming multiple VecPaired are used together. The implementation of the vector may have logic to handle the case that the other vector is of the same type. This will go through every layer of VecPaired to return the final base vector.
    
    Parameters:
    
    b - a Vec, that may or may not be an instance of VecPaired
    
    Returns:
    
    the final Vec backing b, which may be b itself.
  - vecPairedComparator
```
public static <V extends Vec,P extends java.lang.Comparable<P>> java.util.Comparator<VecPaired<V,P>> vecPairedComparator()
```
  - hashCode
```
public int hashCode()
```
    Description copied from class: Vec
    
    Provides a hashcode for Vectors. All vector implementations should return the same result for cases when Vec.equals(java.lang.Object) returns true. Below is the code used for this class
    
    int result = 1; for (int i = 0; i < length(); i++) { double val = get(i); if(val != 0) { long bits = Double.doubleToLongBits(val); result = 31 * result + (int)(bits ^ (bits >>> 32)); result = 31 * result + i; } } return 31* result + length();
    
    Overrides:
    
    hashCode in class Vec
    
    Returns:
    
    the hash code for a vector
  - 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.

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Summary:
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Method

Detail:
Field |
Constr |
Method

Class VecPaired<V extends Vec,P>

Constructor Summary

Method Summary

Methods inherited from class jsat.linear.Vec

Methods inherited from class java.lang.Object

Methods inherited from interface java.lang.Iterable

Constructor Detail

VecPaired

Method Detail

getPair

setPair

getVector

setVector

length

nnz

get

set

add

add

subtract

pairwiseMultiply

multiply

multiply

pairwiseDivide

divide

mutableAdd

mutableAdd

mutableSubtract

mutablePairwiseMultiply

mutableMultiply

mutablePairwiseDivide

mutableDivide

sortedCopy

min

max

sum

mean

standardDeviation

variance

median

skewness

kurtosis

clone

normalized

normalize

pNormDist

pNorm

dot

toString

equals

equals

arrayCopy

mutableAdd

getNonZeroIterator

extractTrueVec

vecPairedComparator

hashCode

isSparse