Package org.apache.sysds.runtime.compress.estim.encoding

Interface EncodingFactory

public interface EncodingFactory

Field Summary

Fields

Modifier and Type	Field	Description
static org.apache.commons.logging.Log	LOG

Method Summary

Static Methods

Modifier and Type	Method	Description
static IEncode	create(ColGroupConst c)
static IEncode	create(ColGroupEmpty c)
static IEncode	create(AMapToData d)
static IEncode	create(AMapToData d, AOffset i, int nRow)
static IEncode	createFromMatrixBlock(MatrixBlock m, boolean transposed, int rowCol)	Create encoding of a single specific column inside the matrix input.
static IEncode	createFromMatrixBlock(MatrixBlock m, boolean transposed, IColIndex rowCols)	Encode a list of columns together from the input matrix, as if it is cocoded.
static IEncode	createFromMatrixBlockDelta(MatrixBlock m, boolean transposed, IColIndex rowCols)	Encode a full delta representation of the matrix input taking all rows into account.
static IEncode	createFromMatrixBlockDelta(MatrixBlock m, boolean transposed, IColIndex rowCols, int sampleSize)	Encode a delta representation of the matrix input taking the first "sampleSize" rows into account.
static SparseEncoding	createSparse(AMapToData map, AOffset off, int nRows)

Field Detail

LOG

static final org.apache.commons.logging.Log LOG

Method Detail

createFromMatrixBlock

static IEncode createFromMatrixBlock(MatrixBlock m,
                                     boolean transposed,
                                     IColIndex rowCols)

Encode a list of columns together from the input matrix, as if it is cocoded.

Parameters:

m - The matrix input to encode

transposed - If the matrix is transposed in memory

rowCols - The list of columns to encode.

Returns:

An encoded format of the information of the columns.

createFromMatrixBlockDelta

static IEncode createFromMatrixBlockDelta(MatrixBlock m,
                                          boolean transposed,
                                          IColIndex rowCols)

Encode a full delta representation of the matrix input taking all rows into account. Note the input matrix should not be delta encoded, but instead while processing, enforcing that we do not allocate more memory.

Parameters:

m - The input matrix that is not delta encoded and should not be modified

transposed - If the input matrix is transposed.

rowCols - The list of columns to encode

Returns:

A delta encoded encoding.

createFromMatrixBlockDelta

static IEncode createFromMatrixBlockDelta(MatrixBlock m,
                                          boolean transposed,
                                          IColIndex rowCols,
                                          int sampleSize)

Encode a delta representation of the matrix input taking the first "sampleSize" rows into account. Note the input matrix should not be delta encoded, but instead while processing, enforcing that we do not allocate more memory.

Parameters:

m - Input matrix that is not delta encoded and should not be modified

transposed - If the input matrix is transposed.

rowCols - The list of columns to encode

sampleSize - The number of rows to consider for the delta encoding (from the beginning)

Returns:

A delta encoded encoding.

createFromMatrixBlock

static IEncode createFromMatrixBlock(MatrixBlock m,
                                     boolean transposed,
                                     int rowCol)

Create encoding of a single specific column inside the matrix input.

Parameters:

m - The Matrix to encode a column from

transposed - If the matrix is in transposed format.

rowCol - The column index to encode

Returns:

An encoded format of the information of this column.

create

static IEncode create(ColGroupConst c)

create

static IEncode create(ColGroupEmpty c)

create

static IEncode create(AMapToData d)

create

static IEncode create(AMapToData d,
                      AOffset i,
                      int nRow)

createSparse

static SparseEncoding createSparse(AMapToData map,
                                   AOffset off,
                                   int nRows)