org.apache.ignite.ml.math.impls.vector

Class SparseDistributedVector

java.lang.Object

org.apache.ignite.ml.math.impls.vector.AbstractVector

org.apache.ignite.ml.math.impls.vector.SparseDistributedVector

All Implemented Interfaces:

Externalizable, Serializable, Destroyable, MetaAttributes, StorageConstants, StorageOpsMetrics, Vector

public class SparseDistributedVector
extends AbstractVector
implements StorageConstants

Sparse distributed vector implementation based on data grid.

Unlike CacheVector that is based on existing cache, this implementation creates distributed cache internally and doesn't rely on pre-existing cache.

You also need to call AbstractVector.destroy() to remove the underlying cache when you no longer need this vector.

Currently fold supports only commutative operations.

See Also:

Serialized Form

Nested Class Summary

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

Vector.Element

Field Summary

Fields inherited from interface org.apache.ignite.ml.math.StorageConstants

COLUMN_STORAGE_MODE, RANDOM_ACCESS_MODE, ROW_STORAGE_MODE, SEQUENTIAL_ACCESS_MODE, UNKNOWN_STORAGE_MODE

Constructor Summary

Constructors

Constructor and Description
SparseDistributedVector()
SparseDistributedVector(double[] data)
SparseDistributedVector(int size)
SparseDistributedVector(int size, int acsMode)

Method Summary

Modifier and Type	Method and Description
Vector	assign(double val) Assigns given value to all elements of this vector.
Vector	divide(double d) Return the same matrix with updates values (broken contract).
UUID	getUUID()
Vector	like(int size) Creates new empty vector of the same underlying class but of different cardinality.
Matrix	likeMatrix(int rows, int cols) Creates new matrix of compatible flavor with given size.
Vector	map(IgniteDoubleFunction<Double> fun) Maps all values in this vector through a given function.
Vector	plus(double x) Return the same matrix with updates values (broken contract).
SparseDistributedVectorStorage	storage()
Vector	times(double x) Return the same matrix with updates values (broken contract).

Methods inherited from class org.apache.ignite.ml.math.impls.vector.AbstractVector

all, allSpliterator, assign, assign, assign, checkCardinality, checkCardinality, checkCardinality, checkIndex, compute, copy, cross, destroy, dot, dotSelf, equals, foldMap, foldMap, get, getDistanceSquared, getElement, getLengthSquared, getMetaStorage, getStorage, getX, guid, hashCode, increment, incrementX, isArrayBased, isDense, isDistributed, isRandomAccess, isSequentialAccess, isZero, kNorm, logNormalize, logNormalize, makeElement, map, map, maxElement, maxValue, minElement, minus, minValue, nonZeroElements, nonZeroes, nonZeroSpliterator, normalize, normalize, plus, readExternal, set, setStorage, setX, size, sort, storageGet, storageSet, sum, times, toMatrix, toMatrixPlusOne, viewPart, writeExternal

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.StorageConstants

assertAccessMode, assertStorageMode

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

getAttribute, hasAttribute, removeAttribute, setAttribute

Constructor Detail

SparseDistributedVector

public SparseDistributedVector()

SparseDistributedVector

public SparseDistributedVector(int size,
                               int acsMode)

Parameters:

size - Vector size.

acsMode - Vector elements access mode..

SparseDistributedVector

public SparseDistributedVector(int size)

Parameters:

size - Size.

SparseDistributedVector

public SparseDistributedVector(double[] data)

Parameters:

data - Data.

Method Detail

storage

public SparseDistributedVectorStorage storage()

divide

public Vector divide(double d)

Return the same matrix with updates values (broken contract).

Specified by:

divide in interface Vector

Overrides:

divide in class AbstractVector

Parameters:

d - Value to divide to.

Returns:

New vector.

like

public Vector like(int size)

Creates new empty vector of the same underlying class but of different cardinality.

Specified by:

like in interface Vector

Parameters:

size - Cardinality for new vector.

Returns:

New vector.

likeMatrix

public Matrix likeMatrix(int rows,
                         int cols)

Creates new matrix of compatible flavor with given size.

Specified by:

likeMatrix in interface Vector

Parameters:

rows - Number of rows.

cols - Number of columns.

Returns:

New matrix.

plus

public Vector plus(double x)

Return the same matrix with updates values (broken contract).

Specified by:

plus in interface Vector

Overrides:

plus in class AbstractVector

Parameters:

x - Value to add.

Returns:

New vector.

times

public Vector times(double x)

Return the same matrix with updates values (broken contract).

Specified by:

times in interface Vector

Overrides:

times in class AbstractVector

Parameters:

x - Value to multiply.

Returns:

New vector.

assign

public Vector assign(double val)

Assigns given value to all elements of this vector.

Specified by:

assign in interface Vector

Overrides:

assign in class AbstractVector

Parameters:

val - Value to assign.

Returns:

This vector.

map

public Vector map(IgniteDoubleFunction<Double> fun)

Maps all values in this vector through a given function.

Specified by:

map in interface Vector

Overrides:

map in class AbstractVector

Parameters:

fun - Mapping function.

Returns:

This vector.

getUUID

public UUID getUUID()