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

Interface IEncode

All Known Implementing Classes:

ConstEncoding, DenseEncoding, EmptyEncoding, SparseEncoding

public interface IEncode

This interface covers an intermediate encoding for the samples to improve the efficiency of the joining of sample column groups.

Field Summary

Fields

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

Method Summary

Modifier and Type	Method	Description
IEncode	combine(IEncode e)	Combine two encodings, note it should be guaranteed by the caller that the number of unique multiplied does not overflow Integer.
static IEncode	createFromMatrixBlock(MatrixBlock m, boolean transposed, int rowCol)
static IEncode	createFromMatrixBlock(MatrixBlock m, boolean transposed, int[] rowCols)
static IEncode	createFromMatrixBlockDelta(MatrixBlock m, boolean transposed, int[] rowCols)
static IEncode	createFromMatrixBlockDelta(MatrixBlock m, boolean transposed, int[] rowCols, int nVals)
EstimationFactors	extractFacts(int[] cols, int nRows, double tupleSparsity, double matrixSparsity)
int	getUnique()
boolean	isDense()	Signify if the counts are including zero or without zero.

Field Detail

LOG

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

Method Detail

createFromMatrixBlock

static IEncode createFromMatrixBlock(MatrixBlock m,
                                     boolean transposed,
                                     int[] rowCols)

createFromMatrixBlockDelta

static IEncode createFromMatrixBlockDelta(MatrixBlock m,
                                          boolean transposed,
                                          int[] rowCols)

createFromMatrixBlockDelta

static IEncode createFromMatrixBlockDelta(MatrixBlock m,
                                          boolean transposed,
                                          int[] rowCols,
                                          int nVals)

createFromMatrixBlock

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

combine

IEncode combine(IEncode e)

Combine two encodings, note it should be guaranteed by the caller that the number of unique multiplied does not overflow Integer.

Parameters:

e - The other side to combine with

Returns:

The combined encoding

getUnique

int getUnique()

extractFacts

EstimationFactors extractFacts(int[] cols,
                               int nRows,
                               double tupleSparsity,
                               double matrixSparsity)

isDense

boolean isDense()

Signify if the counts are including zero or without zero.

Returns:

is dense