AbstractVector (GridGain 8.9.15)

java.lang.Object
- org.apache.ignite.ml.math.primitives.vector.AbstractVector

All Implemented Interfaces:

Externalizable, Serializable, Destroyable, MetaAttributes, Vector, StorageOpsMetrics

Direct Known Subclasses:

DenseVector, SparseVector, VectorizedViewMatrix, VectorView
```
public abstract class AbstractVector
extends Object
implements Vector
```
This class provides a helper implementation of the Vector interface to minimize the effort required to implement it. Subclasses may override some of the implemented methods if a more specific or optimized implementation is desirable.

See Also:

Serialized Form

Nested Class Summary
- Nested classes/interfaces inherited from interface org.apache.ignite.ml.math.primitives.vector.Vector
  Vector.Element

Constructor Summary

Constructors
Constructor and Description

AbstractVector()

AbstractVector(boolean readOnly, VectorStorage sto)

AbstractVector(VectorStorage sto)

Constructors
Constructor and Description
`AbstractVector()`
`AbstractVector(boolean readOnly, VectorStorage sto)`
`AbstractVector(VectorStorage sto)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`Iterable<Vector.Element>`	`all()` Gets iterator over all elements in this vector.
`Spliterator<Double>`	`allSpliterator()` Gets spliterator for all values in this vector.
`Vector`	`assign(double val)` Assigns given value to all elements of this vector.
`Vector`	`assign(double[] vals)` Assigns values from given array to this vector.
`Vector`	`assign(IntToDoubleFunction fun)` Assigns each vector element to the value generated by given function.
`Vector`	`assign(Vector vec)` Copies values from the argument vector to this one.
`protected void`	`checkCardinality(double[] vec)`
`protected void`	`checkCardinality(int[] arr)`
`protected void`	`checkCardinality(Vector vec)`
`protected void`	`checkIndex(int idx)` Check index bounds.
`void`	`compute(int idx, IgniteIntDoubleToDoubleBiFunction f)` Replace vector entry with value oldVal at i with result of computing f(i, oldVal).
`Vector`	`copy()` Creates new copy of this vector.
`Vector`	`copyOfRange(int from, int to)` Copies the specified range of the vector into a new vector.
`Matrix`	`cross(Vector vec)` Gets the cross product of this vector and the other vector.
`void`	`destroy()` Destroys object if managed outside of JVM.
`Vector`	`divide(double x)` Creates new vector containing values from this vector divided by the argument.
`double`	`dot(Vector vec)` Gets dot product of two vectors.
`protected double`	`dotSelf()`
`boolean`	`equals(Object obj)`
`<T> T`	`foldMap(IgniteBiFunction<T,Double,T> foldFun, IgniteDoubleFunction<Double> mapFun, T zeroVal)` Folds this vector into a single value.
`<T> T`	`foldMap(Vector vec, IgniteBiFunction<T,Double,T> foldFun, IgniteBiFunction<Double,Double,Double> combFun, T zeroVal)` Combines & maps two vector and folds them into a single value.
`double`	`get(int idx)` Gets the value at specified index.
`double`	`getDistanceSquared(Vector vec)` Get the square of the distance between this vector and the argument vector.
`Vector.Element`	`getElement(int idx)` Gets element at the given index.
`double`	`getLengthSquared()` Gets the sum of squares of all elements in this vector.
`Map<String,Object>`	`getMetaStorage()` Implementation should return an instance of the map to store meta attributes.
`<T extends Serializable> T`	`getRaw(int idx)` Gets the value at specified index.
`<T extends Serializable> T`	`getRawX(int idx)` Gets the value at specified index without checking for index boundaries.
`VectorStorage`	`getStorage()` Gets vector storage model.
`double`	`getX(int idx)` Gets the value at specified index without checking for index boundaries.
`IgniteUuid`	`guid()` Auto-generated globally unique vector ID.
`int`	`hashCode()`
`Vector`	`increment(int idx, double val)` Increments value at given index.
`Vector`	`incrementX(int idx, double val)` Increments value at given index without checking for index boundaries.
`boolean`	`isArrayBased()` Checks if implementation is based on Java arrays.
`boolean`	`isDense()` Checks if this implementation should be considered dense so that it explicitly represents every value.
`boolean`	`isDistributed()` Checks whether implementation is JVM-local or distributed (multi-JVM).
`boolean`	`isNumeric()`
`protected boolean`	`isZero(double val)` Tests if given value is considered a zero value.
`double`	`kNorm(double power)` Gets the k-norm of the vector.
`Vector`	`logNormalize()` Creates new vector containing the `log(1 + entry) / L_2 norm` values of this vector.
`Vector`	`logNormalize(double power)` Creates new vector with a normalized value calculated as `log_power(1 + entry) / L_power norm`.
`protected Vector.Element`	`makeElement(int idx)`
`Vector`	`map(IgniteBiFunction<Double,Double,Double> fun, double y)` Maps all elements of this vector by applying given function to each element with a constant second parameter `y`.
`Vector`	`map(IgniteDoubleFunction<Double> fun)` Maps all values in this vector through a given function.
`Vector`	`map(Vector vec, IgniteBiFunction<Double,Double,Double> fun)` Maps all values in this vector through a given function.
`Vector.Element`	`maxElement()` Gets maximum element in this vector.
`double`	`maxValue()` Gets maximum value in this vector.
`Vector.Element`	`minElement()` Gets minimal element in this vector.
`Vector`	`minus(Vector vec)` Creates new vector containing element by element difference between this vector and the argument one.
`double`	`minValue()` Gets minimal value in this vector.
`int`	`nonZeroElements()` Gets number of non-zero elements in this vector.
`Iterable<Vector.Element>`	`nonZeroes()` Iterates ove all non-zero elements in this vector.
`Spliterator<Double>`	`nonZeroSpliterator()` Gets spliterator for all non-zero values in this vector.
`Vector`	`normalize()` Creates new vector containing the normalized (L_2 norm) values of this vector.
`Vector`	`normalize(double power)` Creates new vector containing the normalized (L_power norm) values of this vector.
`Vector`	`plus(double x)` Creates new vector containing sum of each element in this vector and argument.
`Vector`	`plus(Vector vec)` Creates new vector containing element by element sum from both vectors.
`void`	`readExternal(ObjectInput in)`
`Vector`	`set(int idx, double val)` Sets value.
`Vector`	`setRaw(int idx, Serializable val)` Sets value.
`Vector`	`setRawX(int idx, Serializable val)` Sets value without checking for index boundaries.
`protected void`	`setStorage(VectorStorage sto)` Set storage.
`Vector`	`setX(int idx, double val)` Sets value without checking for index boundaries.
`int`	`size()` Gets cardinality of this vector (maximum number of the elements).
`Vector`	`sort()` Sorts this vector in ascending order.
`protected double`	`storageGet(int i)`
`protected <T extends Serializable> T`	`storageGetRaw(int i)` Gets serializable value from storage and casts it to targe type T.
`protected void`	`storageSet(int i, double v)`
`protected void`	`storageSetRaw(int i, Serializable v)` Sets serializable value.
`double`	`sum()` Gets the sum of all elements in this vector.
`Vector`	`times(double x)` Gets a new vector that contains product of each element and the argument.
`Vector`	`times(Vector vec)` Gets a new vector that is an element-wie product of this vector and the argument.
`Matrix`	`toMatrix(boolean rowLike)` Converts this vector into [N x 1] or [1 x N] matrix where N is this vector cardinality.
`Matrix`	`toMatrixPlusOne(boolean rowLike, double zeroVal)` Converts this vector into [N+1 x 1] or [1 x N+1] matrix where N is this vector cardinality
`Vector`	`viewPart(int off, int len)`
`void`	`writeExternal(ObjectOutput out)`

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

Methods inherited from interface org.apache.ignite.ml.math.primitives.vector.Vector
asArray, labeled, like, likeMatrix

Methods inherited from interface org.apache.ignite.ml.math.MetaAttributes
getAttribute, hasAttribute, removeAttribute, setAttribute

- Constructor Detail
  - AbstractVector
```
public AbstractVector(VectorStorage sto)
```
    Parameters:
    
    sto - Storage.
  - AbstractVector
```
public AbstractVector(boolean readOnly,
                      VectorStorage sto)
```
    Parameters:
    
    readOnly - Is read only.
    
    sto - Storage.
  - AbstractVector
```
public AbstractVector()
```
- Method Detail
  - setStorage
```
protected void setStorage(VectorStorage sto)
```
    Set storage.
    
    Parameters:
    
    sto - Storage.
  - storageSet
```
protected void storageSet(int i,
                          double v)
```
    Parameters:
    
    i - Index.
    
    v - Value.
  - storageSetRaw
```
protected void storageSetRaw(int i,
                             Serializable v)
```
    Sets serializable value.
    
    Parameters:
    
    i - Index.
    
    v - Value.
  - storageGet
```
protected double storageGet(int i)
```
    Parameters:
    
    i - Index.
    
    Returns:
    
    Value.
  - storageGetRaw
```
protected <T extends Serializable> T storageGetRaw(int i)
```
    Gets serializable value from storage and casts it to targe type T.
    
    Parameters:
    
    i - Index.
    
    Returns:
    
    Value.
  - size
```
public int size()
```
    Gets cardinality of this vector (maximum number of the elements).
    
    Specified by:
    
    size in interface Vector
    
    Returns:
    
    This vector's cardinality.
  - checkIndex
```
protected void checkIndex(int idx)
```
    Check index bounds.
    
    Parameters:
    
    idx - Index to check.
  - get
```
public double get(int idx)
```
    Gets the value at specified index.
    
    Specified by:
    
    get in interface Vector
    
    Parameters:
    
    idx - Vector index.
    
    Returns:
    
    Vector value.
  - getX
```
public double getX(int idx)
```
    Gets the value at specified index without checking for index boundaries.
    
    Specified by:
    
    getX in interface Vector
    
    Parameters:
    
    idx - Vector index.
    
    Returns:
    
    Vector value.
  - getRaw
```
public <T extends Serializable> T getRaw(int idx)
```
    Gets the value at specified index.
    
    Specified by:
    
    getRaw in interface Vector
    
    Parameters:
    
    idx - Vector index.
    
    Returns:
    
    Vector value.
  - getRawX
```
public <T extends Serializable> T getRawX(int idx)
```
    Gets the value at specified index without checking for index boundaries.
    
    Specified by:
    
    getRawX in interface Vector
    
    Parameters:
    
    idx - Vector index.
    
    Returns:
    
    Vector value.
  - isArrayBased
```
public boolean isArrayBased()
```
    Checks if implementation is based on Java arrays.
    
    Specified by:
    
    isArrayBased in interface StorageOpsMetrics
  - sort
```
public Vector sort()
```
    Sorts this vector in ascending order.
    
    Specified by:
    
    sort in interface Vector
  - map
```
public Vector map(IgniteDoubleFunction<Double> fun)
```
    Maps all values in this vector through a given function.
    
    Specified by:
    
    map in interface Vector
    
    Parameters:
    
    fun - Mapping function.
    
    Returns:
    
    This vector.
  - map
```
public Vector map(Vector vec,
                  IgniteBiFunction<Double,Double,Double> fun)
```
    Maps all values in this vector through a given function. For this vector A, argument vector B and the function F this method maps every element x as: A(x) = F(A(x), B(x))
    
    Specified by:
    
    map in interface Vector
    
    Parameters:
    
    vec - Argument vector.
    
    fun - Mapping function.
    
    Returns:
    
    This function.
  - map
```
public Vector map(IgniteBiFunction<Double,Double,Double> fun,
                  double y)
```
    Maps all elements of this vector by applying given function to each element with a constant second parameter y.
    
    Specified by:
    
    map in interface Vector
    
    Parameters:
    
    fun - Mapping function.
    
    y - Second parameter for mapping function.
    
    Returns:
    
    This vector.
  - makeElement
```
protected Vector.Element makeElement(int idx)
```
    Parameters:
    
    idx - Index.
    
    Returns:
    
    Value.
  - minElement
```
public Vector.Element minElement()
```
    Gets minimal element in this vector.
    
    Specified by:
    
    minElement in interface Vector
    
    Returns:
    
    Minimal element.
  - maxElement
```
public Vector.Element maxElement()
```
    Gets maximum element in this vector.
    
    Specified by:
    
    maxElement in interface Vector
    
    Returns:
    
    Maximum element.
  - minValue
```
public double minValue()
```
    Gets minimal value in this vector.
    
    Specified by:
    
    minValue in interface Vector
    
    Returns:
    
    Minimal value.
  - maxValue
```
public double maxValue()
```
    Gets maximum value in this vector.
    
    Specified by:
    
    maxValue in interface Vector
    
    Returns:
    
    Maximum c.
  - set
```
public Vector set(int idx,
                  double val)
```
    Sets value.
    
    Specified by:
    
    set in interface Vector
    
    Parameters:
    
    idx - Vector index to set value at.
    
    val - Value to set.
    
    Returns:
    
    This vector.
  - setX
```
public Vector setX(int idx,
                   double val)
```
    Sets value without checking for index boundaries.
    
    Specified by:
    
    setX in interface Vector
    
    Parameters:
    
    idx - Vector index to set value at.
    
    val - Value to set.
    
    Returns:
    
    This vector.
  - setRaw
```
public Vector setRaw(int idx,
                     Serializable val)
```
    Sets value.
    
    Specified by:
    
    setRaw in interface Vector
    
    Parameters:
    
    idx - Vector index to set value at.
    
    val - Value to set.
    
    Returns:
    
    This vector.
  - setRawX
```
public Vector setRawX(int idx,
                      Serializable val)
```
    Sets value without checking for index boundaries.
    
    Specified by:
    
    setRawX in interface Vector
    
    Parameters:
    
    idx - Vector index to set value at.
    
    val - Value to set.
    
    Returns:
    
    This vector.
  - increment
```
public Vector increment(int idx,
                        double val)
```
    Increments value at given index.
    
    Specified by:
    
    increment in interface Vector
    
    Parameters:
    
    idx - Vector index.
    
    val - Increment value.
    
    Returns:
    
    This vector.
  - incrementX
```
public Vector incrementX(int idx,
                         double val)
```
    Increments value at given index without checking for index boundaries.
    
    Specified by:
    
    incrementX in interface Vector
    
    Parameters:
    
    idx - Vector index.
    
    val - Increment value.
    
    Returns:
    
    This vector.
  - isZero
```
protected boolean isZero(double val)
```
    Tests if given value is considered a zero value.
    
    Parameters:
    
    val - Value to check.
  - sum
```
public double sum()
```
    Gets the sum of all elements in this vector.
    
    Specified by:
    
    sum in interface Vector
    
    Returns:
    
    Vector's sum
  - guid
```
public IgniteUuid guid()
```
    Auto-generated globally unique vector ID.
    
    Specified by:
    
    guid in interface Vector
    
    Returns:
    
    Vector GUID.
  - all
```
public Iterable<Vector.Element> all()
```
    Gets iterator over all elements in this vector. NOTE: implementation can choose to reuse Vector.Element instance so you need to copy it if you want to retain it outside of iteration.
    
    Specified by:
    
    all in interface Vector
    
    Returns:
    
    Iterator.
  - nonZeroElements
```
public int nonZeroElements()
```
    Gets number of non-zero elements in this vector.
    
    Specified by:
    
    nonZeroElements in interface Vector
    
    Returns:
    
    Number of non-zero elements in this vector.
  - foldMap
```
public <T> T foldMap(IgniteBiFunction<T,Double,T> foldFun,
                     IgniteDoubleFunction<Double> mapFun,
                     T zeroVal)
```
    Folds this vector into a single value.
    
    Specified by:
    
    foldMap in interface Vector
    
    Type Parameters:
    
    T - Type of the folded value.
    
    Parameters:
    
    foldFun - Folding function that takes two parameters: accumulator and the current value.
    
    mapFun - Mapping function that is called on each vector element before its passed to the accumulator (as its second parameter).
    
    zeroVal - Zero value for fold operation.
    
    Returns:
    
    Folded value of this vector.
  - foldMap
```
public <T> T foldMap(Vector vec,
                     IgniteBiFunction<T,Double,T> foldFun,
                     IgniteBiFunction<Double,Double,Double> combFun,
                     T zeroVal)
```
    Combines & maps two vector and folds them into a single value.
    
    Specified by:
    
    foldMap in interface Vector
    
    Type Parameters:
    
    T - Type of the folded value.
    
    Parameters:
    
    vec - Another vector to combine with.
    
    foldFun - Folding function.
    
    combFun - Combine function.
    
    zeroVal - Zero value for fold operation.
    
    Returns:
    
    Folded value of these vectors.
  - nonZeroes
```
public Iterable<Vector.Element> nonZeroes()
```
    Iterates ove all non-zero elements in this vector. NOTE: implementation can choose to reuse Vector.Element instance so you need to copy it if you want to retain it outside of iteration.
    
    Specified by:
    
    nonZeroes in interface Vector
    
    Returns:
    
    Iterator.
  - getMetaStorage
```
public Map<String,Object> getMetaStorage()
```
    Implementation should return an instance of the map to store meta attributes.
    
    Specified by:
    
    getMetaStorage in interface MetaAttributes
  - assign
```
public Vector assign(double val)
```
    Assigns given value to all elements of this vector.
    
    Specified by:
    
    assign in interface Vector
    
    Parameters:
    
    val - Value to assign.
    
    Returns:
    
    This vector.
  - assign
```
public Vector assign(double[] vals)
```
    Assigns values from given array to this vector.
    
    Specified by:
    
    assign in interface Vector
    
    Parameters:
    
    vals - Values to assign.
    
    Returns:
    
    This vector.
  - assign
```
public Vector assign(Vector vec)
```
    Copies values from the argument vector to this one.
    
    Specified by:
    
    assign in interface Vector
    
    Parameters:
    
    vec - Argument vector.
    
    Returns:
    
    This vector.
  - assign
```
public Vector assign(IntToDoubleFunction fun)
```
    Assigns each vector element to the value generated by given function.
    
    Specified by:
    
    assign in interface Vector
    
    Parameters:
    
    fun - Function that takes the index and returns value.
    
    Returns:
    
    This vector.
  - allSpliterator
```
public Spliterator<Double> allSpliterator()
```
    Gets spliterator for all values in this vector.
    
    Specified by:
    
    allSpliterator in interface Vector
    
    Returns:
    
    Spliterator for all values.
  - nonZeroSpliterator
```
public Spliterator<Double> nonZeroSpliterator()
```
    Gets spliterator for all non-zero values in this vector.
    
    Specified by:
    
    nonZeroSpliterator in interface Vector
    
    Returns:
    
    Spliterator for all non-zero values.
  - dot
```
public double dot(Vector vec)
```
    Gets dot product of two vectors.
    
    Specified by:
    
    dot in interface Vector
    
    Parameters:
    
    vec - Argument vector.
    
    Returns:
    
    Dot product of two vectors.
  - getLengthSquared
```
public double getLengthSquared()
```
    Gets the sum of squares of all elements in this vector.
    
    Specified by:
    
    getLengthSquared in interface Vector
    
    Returns:
    
    Length squared value.
  - isDense
```
public boolean isDense()
```
    Checks if this implementation should be considered dense so that it explicitly represents every value.
    
    Specified by:
    
    isDense in interface StorageOpsMetrics
  - isDistributed
```
public boolean isDistributed()
```
    Checks whether implementation is JVM-local or distributed (multi-JVM).
    
    Specified by:
    
    isDistributed in interface StorageOpsMetrics
  - isNumeric
```
public boolean isNumeric()
```
    Specified by:
    
    isNumeric in interface StorageOpsMetrics
    
    Returns:
    
    true if all stored data are values of Number class.
  - getStorage
```
public VectorStorage getStorage()
```
    Gets vector storage model.
    
    Specified by:
    
    getStorage in interface Vector
  - viewPart
```
public Vector viewPart(int off,
                       int len)
```
    Specified by:
    
    viewPart in interface Vector
    
    Parameters:
    
    off - Offset into parent vector.
    
    len - Length of the view.
  - cross
```
public Matrix cross(Vector vec)
```
    Gets the cross product of this vector and the other vector.
    
    Specified by:
    
    cross in interface Vector
    
    Parameters:
    
    vec - Second vector.
    
    Returns:
    
    New matrix as a cross product of two vectors.
  - toMatrix
```
public Matrix toMatrix(boolean rowLike)
```
    Converts this vector into [N x 1] or [1 x N] matrix where N is this vector cardinality.
    
    Specified by:
    
    toMatrix in interface Vector
    
    Parameters:
    
    rowLike - true for rowLike [N x 1], or false for column [1 x N] matrix.
    
    Returns:
    
    Newly created matrix.
  - toMatrixPlusOne
```
public Matrix toMatrixPlusOne(boolean rowLike,
                              double zeroVal)
```
    Converts this vector into [N+1 x 1] or [1 x N+1] matrix where N is this vector cardinality. (0,0) element of this matrix will be zeroVal parameter.
    
    Specified by:
    
    toMatrixPlusOne in interface Vector
    
    Parameters:
    
    rowLike - true for rowLike [N+1 x 1], or false for column [1 x N+1] matrix.
    
    Returns:
    
    Newly created matrix.
  - getDistanceSquared
```
public double getDistanceSquared(Vector vec)
```
    Get the square of the distance between this vector and the argument vector.
    
    Specified by:
    
    getDistanceSquared in interface Vector
    
    Parameters:
    
    vec - Another vector.
    
    Returns:
    
    Distance squared.
  - checkCardinality
```
protected void checkCardinality(Vector vec)
```
    Parameters:
    
    vec - Vector to check for valid cardinality.
  - checkCardinality
```
protected void checkCardinality(double[] vec)
```
    Parameters:
    
    vec - Array to check for valid cardinality.
  - checkCardinality
```
protected void checkCardinality(int[] arr)
```
    Parameters:
    
    arr - Array to check for valid cardinality.
  - minus
```
public Vector minus(Vector vec)
```
    Creates new vector containing element by element difference between this vector and the argument one.
    
    Specified by:
    
    minus in interface Vector
    
    Parameters:
    
    vec - Argument vector.
    
    Returns:
    
    New vector.
  - plus
```
public Vector plus(double x)
```
    Creates new vector containing sum of each element in this vector and argument.
    
    Specified by:
    
    plus in interface Vector
    
    Parameters:
    
    x - Argument value.
    
    Returns:
    
    New vector.
  - divide
```
public Vector divide(double x)
```
    Creates new vector containing values from this vector divided by the argument.
    
    Specified by:
    
    divide in interface Vector
    
    Parameters:
    
    x - Division argument.
    
    Returns:
    
    New vector.
  - times
```
public Vector times(double x)
```
    Gets a new vector that contains product of each element and the argument.
    
    Specified by:
    
    times in interface Vector
    
    Parameters:
    
    x - Multiply argument.
    
    Returns:
    
    New vector.
  - times
```
public Vector times(Vector vec)
```
    Gets a new vector that is an element-wie product of this vector and the argument.
    
    Specified by:
    
    times in interface Vector
    
    Parameters:
    
    vec - Vector to multiply by.
    
    Returns:
    
    New vector.
  - plus
```
public Vector plus(Vector vec)
```
    Creates new vector containing element by element sum from both vectors.
    
    Specified by:
    
    plus in interface Vector
    
    Parameters:
    
    vec - Other argument vector to add.
    
    Returns:
    
    New vector.
  - logNormalize
```
public Vector logNormalize()
```
    Creates new vector containing the log(1 + entry) / L_2 norm values of this vector.
    
    Specified by:
    
    logNormalize in interface Vector
    
    Returns:
    
    New vector.
  - logNormalize
```
public Vector logNormalize(double power)
```
    Creates 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:
    
    New vector
  - kNorm
```
public double kNorm(double power)
```
    Gets the k-norm of the vector. See http://en.wikipedia.org/wiki/Lp_space for more details.
    
    Specified by:
    
    kNorm in interface Vector
    
    Parameters:
    
    power - The power to use.
    
    See Also:
    
    Vector.normalize(double)
  - normalize
```
public Vector normalize()
```
    Creates new vector containing the normalized (L_2 norm) values of this vector.
    
    Specified by:
    
    normalize in interface Vector
    
    Returns:
    
    New vector.
  - normalize
```
public Vector normalize(double power)
```
    Creates new vector containing the normalized (L_power norm) values of this vector. See http://en.wikipedia.org/wiki/Lp_space for details.
    
    Specified by:
    
    normalize in interface Vector
    
    Parameters:
    
    power - The power to use. Must be >= 0. May also be Double.POSITIVE_INFINITY.
    
    Returns:
    
    New vector x such that norm(x, power) == 1
  - copy
```
public Vector copy()
```
    Creates new copy of this vector.
    
    Specified by:
    
    copy in interface Vector
    
    Returns:
    
    New copy vector.
  - copyOfRange
```
public Vector copyOfRange(int from,
                          int to)
```
    Copies the specified range of the vector into a new vector.
    
    Specified by:
    
    copyOfRange in interface Vector
    
    Parameters:
    
    from - the initial index of the range to be copied, inclusive
    
    to - the final index of the range to be copied, exclusive. (This index may lie outside the array.)
    
    Returns:
    
    A new vector containing the specified range from the original vector
  - dotSelf
```
protected double dotSelf()
```
    Returns:
    
    Result of dot with self.
  - getElement
```
public Vector.Element getElement(int idx)
```
    Gets element at the given index. NOTE: implementation can choose to reuse Vector.Element instance so you need to copy it if you want to retain it outside of iteration.
    
    Specified by:
    
    getElement in interface Vector
    
    Parameters:
    
    idx - Element's index.
    
    Returns:
    
    Vector's element at the given index.
  - writeExternal
```
public void writeExternal(ObjectOutput out)
                   throws IOException
```
    Specified by:
    
    writeExternal in interface Externalizable
    
    Throws:
    
    IOException
  - readExternal
```
public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException
```
    Specified by:
    
    readExternal in interface Externalizable
    
    Throws:
    
    IOException
    
    ClassNotFoundException
  - destroy
```
public void destroy()
```
    Destroys object if managed outside of JVM. It's a no-op in all other cases.
    
    Specified by:
    
    destroy in interface Destroyable
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - compute
```
public void compute(int idx,
                    IgniteIntDoubleToDoubleBiFunction f)
```
    Replace vector entry with value oldVal at i with result of computing f(i, oldVal).
    
    Specified by:
    
    compute in interface Vector
    
    Parameters:
    
    idx - Position.
    
    f - Function used for replacing.

Class AbstractVector

Nested Class Summary

Nested classes/interfaces inherited from interface org.apache.ignite.ml.math.primitives.vector.Vector

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface org.apache.ignite.ml.math.primitives.vector.Vector

Methods inherited from interface org.apache.ignite.ml.math.MetaAttributes

Constructor Detail

AbstractVector

AbstractVector

AbstractVector

Method Detail

setStorage

storageSet

storageSetRaw

storageGet

storageGetRaw

size

checkIndex

get

getX

getRaw

getRawX

isArrayBased

sort

map

map

map

makeElement

minElement

maxElement

minValue

maxValue

set

setX

setRaw

setRawX

increment

incrementX

isZero

sum

guid

all

nonZeroElements

foldMap

foldMap

nonZeroes

getMetaStorage

assign

assign

assign

assign

allSpliterator

nonZeroSpliterator

dot

getLengthSquared

isDense

isDistributed

isNumeric

getStorage

viewPart

cross

toMatrix

toMatrixPlusOne

getDistanceSquared

checkCardinality

checkCardinality

checkCardinality

minus

plus

divide

times

times

plus

logNormalize

logNormalize

kNorm

normalize

normalize