nlp/com.londogard.nlp.meachinelearning/D2SparseArray

D2SparseArray

public final class D2SparseArray implements MultiArray<Float, D2>

Compressed Column (CC) Sparse Matrix File Format

Constructors

public D2SparseArray D2SparseArray( IntArray rowIndices, IntArray colIndices, MemoryView<Float> data, IntArray shape, MultiArray<Float, ? extends Dimension> base)

Types

Companion

public class Companion

Functions

cat

public NDArray<Float, D2> cat(MultiArray<Float, D2> other)

public NDArray<Float, D2> cat(List<MultiArray<Float, D2>> other, Integer axis)

public NDArray<Float, D2> cat(MultiArray<Float, D2> other, Integer axis)

copy

public D2SparseArray copy()

deepCopy

public MutableMultiArray<Float, D2> deepCopy()

flatten

public MultiArray<Float, D1> flatten()

get

public final Float get(Integer row, Integer col)

getBase

public MultiArray<Float, ? extends Dimension> getBase()

getColIndices

public final IntArray getColIndices()

getConsistent

public Boolean getConsistent()

getData

public MemoryView<Float> getData()

getDim

public D2 getDim()

getDtype

public DataType getDtype()

getIndexMap

public final Map<Pair<Integer, Integer>, Integer> getIndexMap()

getIndices

public IntRange getIndices()

getMultiIndices

public MultiIndexProgression getMultiIndices()

getOffset

public Integer getOffset()

getRowIndices

public final IntArray getRowIndices()

getShape

public IntArray getShape()

getSize

public Integer getSize()

getStrides

public IntArray getStrides()

isEmpty

public Boolean isEmpty()

isNotEmpty

public Boolean isNotEmpty()

isScalar

public Boolean isScalar()

iterator

public Iterator<Float> iterator()

reshape

public MutableMultiArray<Float, D1> reshape(Integer dim1)

public MutableMultiArray<Float, D2> reshape(Integer dim1, Integer dim2)

public MutableMultiArray<Float, D3> reshape( Integer dim1, Integer dim2, Integer dim3)

public MutableMultiArray<Float, D4> reshape( Integer dim1, Integer dim2, Integer dim3, Integer dim4)

public MutableMultiArray<Float, DN> reshape( Integer dim1, Integer dim2, Integer dim3, Integer dim4, Integer dims)

squeeze

public MutableMultiArray<Float, DN> squeeze(Integer axes)

transpose

public D2SparseArray transpose(Integer axes)

unsqueeze

public MutableMultiArray<Float, DN> unsqueeze(Integer axes)

Properties

base

private final MultiArray<Float, ? extends Dimension> base

colIndices

private final IntArray colIndices

consistent

private final Boolean consistent

data

private final MemoryView<Float> data

dim

private final D2 dim

dtype

private final DataType dtype

indexMap

private final Map<Pair<Integer, Integer>, Integer> indexMap

indices

private final IntRange indices

multiIndices

private final MultiIndexProgression multiIndices

offset

private final Integer offset

rowIndices

private final IntArray rowIndices

shape

private final IntArray shape

size

private final Integer size

strides

private final IntArray strides

Extensions

dotDense

public final MultiArray<Float, D2> dotDense(MultiArray<Float, D2> other)

dotSparse

public final D2SparseArray dotSparse(D2SparseArray other)

mapIndexedNonZero

public final D2SparseArray mapIndexedNonZero(Function3<Float, Int, Int, Float> op)