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

Class TransposedMatrixView

java.lang.Object

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

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

All Implemented Interfaces:

Externalizable, Serializable, Destroyable, Matrix, MetaAttributes, StorageOpsMetrics

public class TransposedMatrixView
extends AbstractMatrix

Implements transposed view of the parent Matrix.

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
TransposedMatrixView()
TransposedMatrixView(Matrix mtx)

Method Summary

Modifier and Type	Method and Description
int	columnSize() Gets number of columns in this matrix.
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.
int	rowSize() Gets number of rows in this matrix.
protected double	storageGet(int row, int col)
protected void	storageSet(int row, int col, double v)

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

allSpliterator, assign, assign, assign, assign, assignColumn, assignRow, 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, set, setColumn, setRow, setStorage, setX, 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

TransposedMatrixView

public TransposedMatrixView()

TransposedMatrixView

public TransposedMatrixView(Matrix mtx)

Parameters:

mtx - Parent matrix.

Method Detail

storageSet

protected void storageSet(int row,
                          int col,
                          double v)

Overrides:

storageSet in class AbstractMatrix

Parameters:

row - Row index in the matrix.

col - Column index in the matrix.

v - Value to set.

storageGet

protected double storageGet(int row,
                            int col)

Overrides:

storageGet in class AbstractMatrix

Parameters:

row - Row index in the matrix.

col - Column index in the matrix.

rowSize

public int rowSize()

Gets number of rows in this matrix.

Specified by:

rowSize in interface Matrix

Overrides:

rowSize in class AbstractMatrix

Returns:

The number of rows in this matrix.

columnSize

public int columnSize()

Gets number of columns in this matrix.

Specified by:

columnSize in interface Matrix

Overrides:

columnSize in class AbstractMatrix

Returns:

The number of columns in this matrix.

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.

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.

Parameters:

crd - Cardinality of the vector.

Returns:

Newly created empty vector "compatible" to this matrix.