org.apache.ignite.ml.math.primitives.vector.impl

Class SparseVector

java.lang.Object

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

org.apache.ignite.ml.math.primitives.vector.impl.SparseVector

All Implemented Interfaces:

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

public class SparseVector
extends AbstractVector
implements StorageConstants

Local on-heap sparse vector based on hash map storage.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from interface org.apache.ignite.ml.math.primitives.vector.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
SparseVector()
SparseVector(int size)
SparseVector(Map<Integer,Double> map, boolean cp)

Method Summary

Modifier and Type	Method and Description
it.unimi.dsi.fastutil.ints.IntSet	indexes() Indexes of non-default elements.
Vector	like(int crd) 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.
Spliterator<Double>	nonZeroSpliterator() Gets spliterator for all non-zero values in this vector.
Vector	times(double x) Gets a new vector that contains product of each element and the argument.

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

all, allSpliterator, assign, assign, assign, assign, checkCardinality, checkCardinality, checkCardinality, checkIndex, compute, copy, copyOfRange, cross, destroy, divide, dot, dotSelf, equals, foldMap, foldMap, get, getDistanceSquared, getElement, getLengthSquared, getMetaStorage, getRaw, getRawX, getStorage, getX, guid, hashCode, increment, incrementX, isArrayBased, isDense, isDistributed, isNumeric, isZero, kNorm, logNormalize, logNormalize, makeElement, map, map, map, maxElement, maxValue, minElement, minus, minValue, nonZeroElements, nonZeroes, normalize, normalize, plus, plus, readExternal, set, setRaw, setRawX, setStorage, setX, size, sort, storageGet, storageGetRaw, storageSet, storageSetRaw, 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.primitives.vector.Vector

asArray, labeled

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

getAttribute, hasAttribute, removeAttribute, setAttribute

Constructor Detail

SparseVector

public SparseVector()

SparseVector

public SparseVector(Map<Integer,Double> map,
                    boolean cp)

Parameters:

map - Underlying map.

cp - Should given map be copied.

SparseVector

public SparseVector(int size)

Parameters:

size - Vector size.

Method Detail

like

public Vector like(int crd)

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

Specified by:

like in interface Vector

Parameters:

crd - 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.

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

Overrides:

times in class AbstractVector

Parameters:

x - Multiply argument.

Returns:

New vector.

indexes

public it.unimi.dsi.fastutil.ints.IntSet indexes()

Indexes of non-default elements.

nonZeroSpliterator

public Spliterator<Double> nonZeroSpliterator()

Gets spliterator for all non-zero values in this vector.

Specified by:

nonZeroSpliterator in interface Vector

Overrides:

nonZeroSpliterator in class AbstractVector

Returns:

Spliterator for all non-zero values.