org.apache.ignite.ml.math.impls.matrix

Class DenseLocalOnHeapMatrix

java.lang.Object

org.apache.ignite.ml.math.impls.matrix.AbstractMatrix

org.apache.ignite.ml.math.impls.matrix.DenseLocalOnHeapMatrix

All Implemented Interfaces:

Externalizable, Serializable, Destroyable, Matrix, MetaAttributes, OrderedMatrix, StorageOpsMetrics

public class DenseLocalOnHeapMatrix
extends AbstractMatrix
implements OrderedMatrix

Basic implementation for matrix. This is a trivial implementation for matrix assuming dense logic, local on-heap JVM storage based on double[][] array. It is only suitable for data sets where local, non-distributed execution is satisfactory and on-heap JVM storage is enough to keep the entire data set.

See Also:

Serialized Form

Nested Class Summary

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

Matrix.Element

Constructor Summary

Constructors

Constructor and Description
DenseLocalOnHeapMatrix()
DenseLocalOnHeapMatrix(double[][] mtx)
DenseLocalOnHeapMatrix(double[][] mtx, int acsMode)
DenseLocalOnHeapMatrix(double[] mtx, int rows) Build new matrix from flat raw array.
DenseLocalOnHeapMatrix(double[] mtx, int rows, int acsMode)
DenseLocalOnHeapMatrix(int rows, int cols)
DenseLocalOnHeapMatrix(int rows, int cols, int acsMode)

Method Summary

Modifier and Type	Method and Description
int	accessMode() Get access mode.
Matrix	copy() Clones this matrix.
Matrix	like(int rows, int cols) Creates new empty matrix of the same underlying class but of different size.
Vector	likeVector(int crd) Creates new empty vector of compatible properties (similar or the same flavor) to this matrix.

Methods inherited from class org.apache.ignite.ml.math.impls.matrix.AbstractMatrix

allSpliterator, assign, assign, assign, assign, assignColumn, assignRow, columnSize, compute, density, destroy, determinant, divide, equals, foldColumns, foldMap, foldRows, get, getCol, getElement, getMaxAmountOfColumns, getMetaStorage, getRow, getStorage, getX, guid, hashCode, inverse, isArrayBased, isDense, isDistributed, isRandomAccess, isSequentialAccess, likeIdentity, map, map, maxAbsRowSumNorm, maxElement, maxValue, minElement, minus, minValue, nonZeroElements, nonZeroSpliterator, plus, plus, readExternal, rowSize, set, setColumn, setRow, setStorage, setX, storageGet, storageSet, sum, swapColumns, swapRows, times, times, times, toString, transpose, viewColumn, viewDiagonal, viewPart, viewPart, viewRow, writeExternal

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

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

getAttribute, hasAttribute, removeAttribute, setAttribute

Constructor Detail

DenseLocalOnHeapMatrix

public DenseLocalOnHeapMatrix()

DenseLocalOnHeapMatrix

public DenseLocalOnHeapMatrix(int rows,
                              int cols)

Parameters:

rows - Amount of rows in matrix.

cols - Amount of columns in matrix.

DenseLocalOnHeapMatrix

public DenseLocalOnHeapMatrix(int rows,
                              int cols,
                              int acsMode)

Parameters:

rows - Amount of rows in matrix.

cols - Amount of columns in matrix.

acsMode - Storage order (row or column-based).

DenseLocalOnHeapMatrix

public DenseLocalOnHeapMatrix(double[][] mtx,
                              int acsMode)

Parameters:

mtx - Backing data array.

acsMode - Access mode.

DenseLocalOnHeapMatrix

public DenseLocalOnHeapMatrix(double[][] mtx)

Parameters:

mtx - Backing data array.

DenseLocalOnHeapMatrix

public DenseLocalOnHeapMatrix(double[] mtx,
                              int rows,
                              int acsMode)

Parameters:

mtx - Backing data array.

acsMode - Access mode.

DenseLocalOnHeapMatrix

public DenseLocalOnHeapMatrix(double[] mtx,
                              int rows)

Build new matrix from flat raw array.

Method Detail

copy

public Matrix copy()

Clones this matrix.

NOTE: new matrix will have the same flavor as the this matrix but a different ID.

Specified by:

copy in interface Matrix

Overrides:

copy in class AbstractMatrix

Returns:

New matrix of the same underlying class, the same size and the same values.

like

public Matrix like(int rows,
                   int cols)

Creates new empty matrix of the same underlying class but of different size.

NOTE: new matrix will have the same flavor as the this matrix but a different ID.

Specified by:

like in interface Matrix

Parameters:

rows - Number of rows for new matrix.

cols - Number of columns for new matrix.

Returns:

New matrix of the same underlying class and size.

likeVector

public Vector likeVector(int crd)

Creates new empty vector of compatible properties (similar or the same flavor) to this matrix.

Specified by:

likeVector in interface Matrix

Parameters:

crd - Cardinality of the vector.

Returns:

Newly created empty vector "compatible" to this matrix.

accessMode

public int accessMode()

Get access mode.

Specified by:

accessMode in interface OrderedMatrix