SparseVector (flink 1.10-SNAPSHOT API)

java.lang.Object
- org.apache.flink.ml.common.linalg.Vector
- - org.apache.flink.ml.common.linalg.SparseVector

All Implemented Interfaces:

Serializable
```
public class SparseVector
extends Vector
```
A sparse vector represented by an indices array and a values array.

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor and Description
`SparseVector()` Construct an empty sparse vector with undetermined size.
`SparseVector(int n)` Construct an empty sparse vector with determined size.
`SparseVector(int n, int[] indices, double[] values)` Construct a sparse vector with the given indices and values.
`SparseVector(int n, Map<Integer,Double> kv)` Construct a sparse vector with given indices to values map.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`add(int i, double val)` Add the i-th element of the vector by value "val".
`SparseVector`	`append(double d)` Create a new vector by adding an element to the end of the vector.
`SparseVector`	`clone()`
`double`	`dot(Vector other)` Compute the dot product with another vector.
`boolean`	`equals(Object o)`
`double`	`get(int i)` Get the i-th element of the vector.
`int[]`	`getIndices()` Get the indices array.
`double[]`	`getValues()` Get the values array.
`int`	`hashCode()`
`VectorIterator`	`iterator()` Get the iterator of the vector.
`Vector`	`minus(Vector vec)` Create a new vector by subtracting another vector.
`void`	`normalizeEqual(double p)` Normalize the vector.
`double`	`normInf()` Return the Inf norm of the vector.
`double`	`normL1()` Return the L1 norm of the vector.
`double`	`normL2()` Return the L2 norm of the vector.
`double`	`normL2Square()` Return the square of L2 norm of the vector.
`int`	`numberOfValues()` Get number of values in this vector.
`DenseMatrix`	`outer()` Compute the outer product with itself.
`DenseMatrix`	`outer(SparseVector other)` Compute the outer product with another vector.
`Vector`	`plus(Vector vec)` Create a new vector by plussing another vector.
`SparseVector`	`prefix(double d)` Create a new vector by adding an element to the head of the vector.
`void`	`removeZeroValues()` Remove all zero values away from this vector.
`SparseVector`	`scale(double d)` Scale the vector by value "v" and create a new vector to store the result.
`void`	`scaleEqual(double d)` Scale the vector by value "v".
`void`	`set(int i, double val)` Set the i-th element of the vector to value "val".
`void`	`setSize(int n)` Set the size of the vector.
`int`	`size()` Get the size of the vector.
`SparseVector`	`slice(int[] indices)` Slice the vector.
`void`	`standardizeEqual(double mean, double stdvar)` Standardize the vector.
`DenseVector`	`toDenseVector()` Convert to a dense vector.
`String`	`toString()`

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

- Constructor Detail
  - SparseVector
```
public SparseVector()
```
    Construct an empty sparse vector with undetermined size.
  - SparseVector
```
public SparseVector(int n)
```
    Construct an empty sparse vector with determined size.
  - SparseVector
```
public SparseVector(int n,
                    int[] indices,
                    double[] values)
```
    Construct a sparse vector with the given indices and values.
    
    Throws:
    
    IllegalArgumentException - If size of indices array and values array differ.
    
    IllegalArgumentException - If n >= 0 and the indices are out of bound.
  - SparseVector
```
public SparseVector(int n,
                    Map<Integer,Double> kv)
```
    Construct a sparse vector with given indices to values map.
    
    Throws:
    
    IllegalArgumentException - If n >= 0 and the indices are out of bound.
- Method Detail
  - clone
```
public SparseVector clone()
```
    Overrides:
    
    clone in class Object
  - prefix
```
public SparseVector prefix(double d)
```
    Description copied from class: Vector
    
    Create a new vector by adding an element to the head of the vector.
    
    Specified by:
    
    prefix in class Vector
  - append
```
public SparseVector append(double d)
```
    Description copied from class: Vector
    
    Create a new vector by adding an element to the end of the vector.
    
    Specified by:
    
    append in class Vector
  - getIndices
```
public int[] getIndices()
```
    Get the indices array.
  - getValues
```
public double[] getValues()
```
    Get the values array.
  - size
```
public int size()
```
    Description copied from class: Vector
    
    Get the size of the vector.
    
    Specified by:
    
    size in class Vector
  - get
```
public double get(int i)
```
    Description copied from class: Vector
    
    Get the i-th element of the vector.
    
    Specified by:
    
    get in class Vector
  - setSize
```
public void setSize(int n)
```
    Set the size of the vector.
  - numberOfValues
```
public int numberOfValues()
```
    Get number of values in this vector.
  - set
```
public void set(int i,
                double val)
```
    Description copied from class: Vector
    
    Set the i-th element of the vector to value "val".
    
    Specified by:
    
    set in class Vector
  - add
```
public void add(int i,
                double val)
```
    Description copied from class: Vector
    
    Add the i-th element of the vector by value "val".
    
    Specified by:
    
    add in class Vector
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class Object
  - normL2
```
public double normL2()
```
    Description copied from class: Vector
    
    Return the L2 norm of the vector.
    
    Specified by:
    
    normL2 in class Vector
  - normL1
```
public double normL1()
```
    Description copied from class: Vector
    
    Return the L1 norm of the vector.
    
    Specified by:
    
    normL1 in class Vector
  - normInf
```
public double normInf()
```
    Description copied from class: Vector
    
    Return the Inf norm of the vector.
    
    Specified by:
    
    normInf in class Vector
  - normL2Square
```
public double normL2Square()
```
    Description copied from class: Vector
    
    Return the square of L2 norm of the vector.
    
    Specified by:
    
    normL2Square in class Vector
  - slice
```
public SparseVector slice(int[] indices)
```
    Description copied from class: Vector
    
    Slice the vector.
    
    Specified by:
    
    slice in class Vector
  - plus
```
public Vector plus(Vector vec)
```
    Description copied from class: Vector
    
    Create a new vector by plussing another vector.
    
    Specified by:
    
    plus in class Vector
  - minus
```
public Vector minus(Vector vec)
```
    Description copied from class: Vector
    
    Create a new vector by subtracting another vector.
    
    Specified by:
    
    minus in class Vector
  - scale
```
public SparseVector scale(double d)
```
    Description copied from class: Vector
    
    Scale the vector by value "v" and create a new vector to store the result.
    
    Specified by:
    
    scale in class Vector
  - scaleEqual
```
public void scaleEqual(double d)
```
    Description copied from class: Vector
    
    Scale the vector by value "v".
    
    Specified by:
    
    scaleEqual in class Vector
  - removeZeroValues
```
public void removeZeroValues()
```
    Remove all zero values away from this vector.
  - dot
```
public double dot(Vector other)
```
    Description copied from class: Vector
    
    Compute the dot product with another vector.
    
    Specified by:
    
    dot in class Vector
  - outer
```
public DenseMatrix outer()
```
    Description copied from class: Vector
    
    Compute the outer product with itself.
    
    Specified by:
    
    outer in class Vector
    
    Returns:
    
    The outer product matrix.
  - outer
```
public DenseMatrix outer(SparseVector other)
```
    Compute the outer product with another vector.
    
    Returns:
    
    The outer product matrix.
  - toDenseVector
```
public DenseVector toDenseVector()
```
    Convert to a dense vector.
  - standardizeEqual
```
public void standardizeEqual(double mean,
                             double stdvar)
```
    Description copied from class: Vector
    
    Standardize the vector.
    
    Specified by:
    
    standardizeEqual in class Vector
  - normalizeEqual
```
public void normalizeEqual(double p)
```
    Description copied from class: Vector
    
    Normalize the vector.
    
    Specified by:
    
    normalizeEqual in class Vector
  - equals
```
public boolean equals(Object o)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - iterator
```
public VectorIterator iterator()
```
    Description copied from class: Vector
    
    Get the iterator of the vector.
    
    Specified by:
    
    iterator in class Vector

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Class SparseVector

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

SparseVector

SparseVector

SparseVector

SparseVector

Method Detail

clone

prefix

append

getIndices

getValues

size

get

setSize

numberOfValues

set

add

toString

normL2

normL1

normInf

normL2Square

slice

plus

minus

scale

scaleEqual

removeZeroValues

dot

outer

outer

toDenseVector

standardizeEqual

normalizeEqual

equals

hashCode

iterator