Uses of Class
org.apache.sysds.runtime.matrix.data.MatrixBlock

Packages that use MatrixBlock

Package	Description
org.apache.sysds.api.jmlc
org.apache.sysds.api.mlcontext
org.apache.sysds.hops.estim
org.apache.sysds.hops.rewrite
org.apache.sysds.runtime.codegen
org.apache.sysds.runtime.compress
org.apache.sysds.runtime.compress.bitmap
org.apache.sysds.runtime.compress.colgroup
org.apache.sysds.runtime.compress.colgroup.dictionary
org.apache.sysds.runtime.compress.colgroup.functional
org.apache.sysds.runtime.compress.colgroup.mapping
org.apache.sysds.runtime.compress.colgroup.scheme
org.apache.sysds.runtime.compress.cost
org.apache.sysds.runtime.compress.estim
org.apache.sysds.runtime.compress.estim.encoding
org.apache.sysds.runtime.compress.io
org.apache.sysds.runtime.compress.lib
org.apache.sysds.runtime.compress.plan
org.apache.sysds.runtime.compress.readers
org.apache.sysds.runtime.compress.utils
org.apache.sysds.runtime.controlprogram.caching
org.apache.sysds.runtime.controlprogram.context
org.apache.sysds.runtime.controlprogram.federated
org.apache.sysds.runtime.controlprogram.paramserv
org.apache.sysds.runtime.controlprogram.paramserv.dp
org.apache.sysds.runtime.controlprogram.parfor
org.apache.sysds.runtime.controlprogram.parfor.util
org.apache.sysds.runtime.data
org.apache.sysds.runtime.frame.data
org.apache.sysds.runtime.frame.data.lib
org.apache.sysds.runtime.functionobjects
org.apache.sysds.runtime.instructions.fed
org.apache.sysds.runtime.instructions.spark
org.apache.sysds.runtime.instructions.spark.data
org.apache.sysds.runtime.instructions.spark.functions
org.apache.sysds.runtime.instructions.spark.utils
org.apache.sysds.runtime.io
org.apache.sysds.runtime.iogen
org.apache.sysds.runtime.iogen.template
org.apache.sysds.runtime.lineage
org.apache.sysds.runtime.matrix.data
org.apache.sysds.runtime.matrix.data.sketch
org.apache.sysds.runtime.matrix.data.sketch.countdistinct
org.apache.sysds.runtime.matrix.data.sketch.countdistinctapprox
org.apache.sysds.runtime.matrix.operators
org.apache.sysds.runtime.transform.decode
org.apache.sysds.runtime.transform.encode
org.apache.sysds.runtime.util

Uses of MatrixBlock in org.apache.sysds.api.jmlc

Methods in org.apache.sysds.api.jmlc that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	Connection.convertToMatrix(InputStream input, int rows, int cols)	Converts an input stream of a string matrix in text format into a matrix block.
MatrixBlock	Connection.convertToMatrix(InputStream input, int rows, int cols, String format)	Converts an input stream of a string matrix in csv or text format into a matrix block.
MatrixBlock	Connection.convertToMatrix(InputStream input, String meta)	Converts an input stream of a string matrix in csv or textcell format into a matrix block.
MatrixBlock	Connection.convertToMatrix(String input, int rows, int cols)	Converts an input string representation of a matrix in textcell format into a matrix block.
MatrixBlock	Connection.convertToMatrix(String input, String meta)	Converts an input string representation of a matrix in csv or textcell format into a matrix block.
MatrixBlock	ResultVariables.getMatrixBlock(String varname)	Obtain the matrix represented by the given output variable.

Methods in org.apache.sysds.api.jmlc with parameters of type MatrixBlock

Modifier and Type	Method	Description
void	PreparedScript.setMatrix(String varname, MatrixBlock matrix, boolean reuse)	Binds a matrix object to a registered input variable.

Uses of MatrixBlock in org.apache.sysds.api.mlcontext

Methods in org.apache.sysds.api.mlcontext that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	MLContextConversionUtil.binaryBlocksToMatrixBlock(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> binaryBlocks, MatrixMetadata matrixMetadata)	Convert a JavaPairRDD<MatrixIndexes, MatrixBlock> to a MatrixBlock
MatrixBlock	Matrix.toMatrixBlock()	Obtain the matrix as a MatrixBlock

Methods in org.apache.sysds.api.mlcontext that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	MLContextConversionUtil.dataFrameToMatrixBinaryBlocks(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> dataFrame)	Convert a DataFrame to a JavaPairRDD<MatrixIndexes, MatrixBlock> binary-block matrix.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	MLContextConversionUtil.dataFrameToMatrixBinaryBlocks(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> dataFrame, MatrixMetadata matrixMetadata)	Convert a DataFrame to a JavaPairRDD<MatrixIndexes, MatrixBlock> binary-block matrix.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	MLContextConversionUtil.matrixObjectToBinaryBlocks(MatrixObject matrixObject, SparkExecutionContext sparkExecutionContext)	Convert a MatrixObject to a JavaPairRDD<MatrixIndexes, MatrixBlock>.
org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	Matrix.toBinaryBlocks()	Obtain the matrix as a JavaPairRDD<MatrixIndexes, MatrixBlock>

Methods in org.apache.sysds.api.mlcontext with parameters of type MatrixBlock

Modifier and Type	Method	Description
static MatrixObject	MLContextConversionUtil.matrixBlockToMatrixObject(String variableName, MatrixBlock matrixBlock, MatrixMetadata matrixMetadata)	Convert a MatrixBlock to a MatrixObject.

Method parameters in org.apache.sysds.api.mlcontext with type arguments of type MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	MLContextConversionUtil.binaryBlocksToMatrixBlock(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> binaryBlocks, MatrixMetadata matrixMetadata)	Convert a JavaPairRDD<MatrixIndexes, MatrixBlock> to a MatrixBlock
static MatrixObject	MLContextConversionUtil.binaryBlocksToMatrixObject(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> binaryBlocks)	Convert a JavaPairRDD<MatrixIndexes, MatrixBlock> to a MatrixObject.
static MatrixObject	MLContextConversionUtil.binaryBlocksToMatrixObject(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> binaryBlocks, MatrixMetadata matrixMetadata)	Convert a JavaPairRDD<MatrixIndexes, MatrixBlock> to a MatrixObject.

Constructor parameters in org.apache.sysds.api.mlcontext with type arguments of type MatrixBlock

Constructor	Description
Matrix(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> binaryBlocks, MatrixMetadata matrixMetadata)	Create a Matrix, specifying the SystemDS binary-block matrix and its metadata.

Uses of MatrixBlock in org.apache.sysds.hops.estim

Methods in org.apache.sysds.hops.estim that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	MMNode.getData()
MatrixBlock	EstimatorDensityMap.DensityMap.getMap()

Methods in org.apache.sysds.hops.estim with parameters of type MatrixBlock

Modifier and Type	Method	Description
void	EstimatorLayeredGraph.LayeredGraph.buildNext(MatrixBlock mb)
static EstimatorBitsetMM.BitsetMatrix	EstimatorBitsetMM.createBitset(MatrixBlock in)
double	EstimatorBasicAvg.estim(MatrixBlock m, SparsityEstimator.OpCode op)
double	EstimatorBasicAvg.estim(MatrixBlock m1, MatrixBlock m2)
double	EstimatorBasicAvg.estim(MatrixBlock m1, MatrixBlock m2, SparsityEstimator.OpCode op)
double	EstimatorBasicWorst.estim(MatrixBlock m, SparsityEstimator.OpCode op)
double	EstimatorBasicWorst.estim(MatrixBlock m1, MatrixBlock m2)
double	EstimatorBasicWorst.estim(MatrixBlock m1, MatrixBlock m2, SparsityEstimator.OpCode op)
double	EstimatorBitsetMM.estim(MatrixBlock m, SparsityEstimator.OpCode op)
double	EstimatorBitsetMM.estim(MatrixBlock m1, MatrixBlock m2)
double	EstimatorBitsetMM.estim(MatrixBlock m1, MatrixBlock m2, SparsityEstimator.OpCode op)
double	EstimatorDensityMap.estim(MatrixBlock m, SparsityEstimator.OpCode op)
double	EstimatorDensityMap.estim(MatrixBlock m1, MatrixBlock m2)
double	EstimatorDensityMap.estim(MatrixBlock m1, MatrixBlock m2, SparsityEstimator.OpCode op)
double	EstimatorLayeredGraph.estim(MatrixBlock m, SparsityEstimator.OpCode op)
double	EstimatorLayeredGraph.estim(MatrixBlock m1, MatrixBlock m2)
double	EstimatorLayeredGraph.estim(MatrixBlock m1, MatrixBlock m2, SparsityEstimator.OpCode op)
double	EstimatorMatrixHistogram.estim(MatrixBlock m1, SparsityEstimator.OpCode op)
double	EstimatorMatrixHistogram.estim(MatrixBlock m1, MatrixBlock m2)
double	EstimatorMatrixHistogram.estim(MatrixBlock m1, MatrixBlock m2, SparsityEstimator.OpCode op)
double	EstimatorSample.estim(MatrixBlock m, SparsityEstimator.OpCode op)
double	EstimatorSample.estim(MatrixBlock m1, MatrixBlock m2)
double	EstimatorSample.estim(MatrixBlock m1, MatrixBlock m2, SparsityEstimator.OpCode op)
double	EstimatorSampleRa.estim(MatrixBlock m, SparsityEstimator.OpCode op)
double	EstimatorSampleRa.estim(MatrixBlock m1, MatrixBlock m2)
double	EstimatorSampleRa.estim(MatrixBlock m1, MatrixBlock m2, SparsityEstimator.OpCode op)
abstract double	SparsityEstimator.estim(MatrixBlock m, SparsityEstimator.OpCode op)	Estimates the output sparsity for a given unary operation.
abstract double	SparsityEstimator.estim(MatrixBlock m1, MatrixBlock m2)	Estimates the output sparsity for a single matrix multiplication.
abstract double	SparsityEstimator.estim(MatrixBlock m1, MatrixBlock m2, SparsityEstimator.OpCode op)	Estimates the output sparsity for a given binary operation.
static long	EstimationUtils.getSelfProductOutputNnz(MatrixBlock m1)	This utility function computes the exact output nnz of a self matrix product without need to materialize the output.
static long	EstimationUtils.getSparseProductOutputNnz(MatrixBlock m1, MatrixBlock m2)
void	EstimatorMatrixHistogram.MatrixHistogram.setData(MatrixBlock mb)

Constructors in org.apache.sysds.hops.estim with parameters of type MatrixBlock

Constructor	Description
BitsetMatrix1(MatrixBlock in)
BitsetMatrix2(MatrixBlock in)
DensityMap(MatrixBlock in, int b)
DensityMap(MatrixBlock map, int rlenOrig, int clenOrig, int b, boolean scaled)
MatrixHistogram(MatrixBlock in, boolean useExcepts)
MMNode(MatrixBlock in)

Constructor parameters in org.apache.sysds.hops.estim with type arguments of type MatrixBlock

Constructor	Description
LayeredGraph(List<MatrixBlock> chain, int r)

Uses of MatrixBlock in org.apache.sysds.hops.rewrite

Methods in org.apache.sysds.hops.rewrite with parameters of type MatrixBlock

Modifier and Type	Method	Description
static void	HopRewriteUtils.copyLineNumbers(MatrixBlock mb, Hop tread)
static DataOp	HopRewriteUtils.createTransientRead(String name, MatrixBlock mb)

Uses of MatrixBlock in org.apache.sysds.runtime.codegen

Fields in org.apache.sysds.runtime.codegen declared as MatrixBlock

Modifier and Type	Field	Description
MatrixBlock	SpoofOperator.SideInput.mdat

Methods in org.apache.sysds.runtime.codegen that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	SpoofCellwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofCellwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k)
MatrixBlock	SpoofCellwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k, long rix)
MatrixBlock	SpoofMultiAggregate.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofMultiAggregate.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k)
MatrixBlock	SpoofMultiAggregate.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k, long rix)
abstract MatrixBlock	SpoofOperator.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalars, MatrixBlock out)
MatrixBlock	SpoofOperator.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalars, MatrixBlock out, int k)
MatrixBlock	SpoofOuterProduct.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofOuterProduct.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int numThreads)
MatrixBlock	SpoofRowwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofRowwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, boolean allocTmp, boolean aggIncr, long rix)
MatrixBlock	SpoofRowwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k)

Methods in org.apache.sysds.runtime.codegen with parameters of type MatrixBlock

Modifier and Type	Method	Description
static void	SpoofMultiAggregate.aggregatePartialResults(SpoofCellwise.AggOp[] aggOps, MatrixBlock c, MatrixBlock b)
static SpoofOperator.SideInput	CodegenUtils.createSideInput(MatrixBlock in)
MatrixBlock	SpoofCellwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofCellwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k)
MatrixBlock	SpoofCellwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k, long rix)
MatrixBlock	SpoofMultiAggregate.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofMultiAggregate.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k)
MatrixBlock	SpoofMultiAggregate.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k, long rix)
abstract MatrixBlock	SpoofOperator.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalars, MatrixBlock out)
MatrixBlock	SpoofOperator.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalars, MatrixBlock out, int k)
MatrixBlock	SpoofOuterProduct.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofOuterProduct.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int numThreads)
MatrixBlock	SpoofRowwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofRowwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, boolean allocTmp, boolean aggIncr, long rix)
MatrixBlock	SpoofRowwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k)

Method parameters in org.apache.sysds.runtime.codegen with type arguments of type MatrixBlock

Modifier and Type	Method	Description
ScalarObject	SpoofCellwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, int k)
ScalarObject	SpoofCellwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, int k, long rix)
MatrixBlock	SpoofCellwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofCellwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k)
MatrixBlock	SpoofCellwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k, long rix)
MatrixBlock	SpoofMultiAggregate.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofMultiAggregate.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k)
MatrixBlock	SpoofMultiAggregate.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k, long rix)
ScalarObject	SpoofOperator.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalars)
ScalarObject	SpoofOperator.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalars, int k)
abstract MatrixBlock	SpoofOperator.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalars, MatrixBlock out)
MatrixBlock	SpoofOperator.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalars, MatrixBlock out, int k)
ScalarObject	SpoofOuterProduct.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects)
ScalarObject	SpoofOuterProduct.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, int numThreads)
MatrixBlock	SpoofOuterProduct.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofOuterProduct.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int numThreads)
ScalarObject	SpoofRowwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, int k)
MatrixBlock	SpoofRowwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out)
MatrixBlock	SpoofRowwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, boolean allocTmp, boolean aggIncr, long rix)
MatrixBlock	SpoofRowwise.execute(ArrayList<MatrixBlock> inputs, ArrayList<ScalarObject> scalarObjects, MatrixBlock out, int k)
static long	SpoofOperator.getTotalInputNnz(ArrayList<MatrixBlock> inputs)
static long	SpoofOperator.getTotalInputSize(ArrayList<MatrixBlock> inputs)
static boolean	SpoofRowwise.hasMatrixSideInput(ArrayList<MatrixBlock> inputs)

Constructors in org.apache.sysds.runtime.codegen with parameters of type MatrixBlock

Constructor	Description
SideInput(DenseBlock ddata, MatrixBlock mdata, int clength)

Uses of MatrixBlock in org.apache.sysds.runtime.compress

Subclasses of MatrixBlock in org.apache.sysds.runtime.compress

Modifier and Type	Class	Description
class	CompressedMatrixBlock

Methods in org.apache.sysds.runtime.compress that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	CompressedMatrixBlock.aggregateBinaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, AggregateBinaryOperator op)
MatrixBlock	CompressedMatrixBlock.aggregateBinaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, AggregateBinaryOperator op, boolean transposeLeft, boolean transposeRight)
MatrixBlock	CompressedMatrixBlock.aggregateUnaryOperations(AggregateUnaryOperator op, MatrixValue result, int blen, MatrixIndexes indexesIn, boolean inCP)
MatrixBlock	CompressedMatrixBlock.append(MatrixBlock[] that, MatrixBlock ret, boolean cbind)
MatrixBlock	CompressedMatrixBlock.binaryOperations(BinaryOperator op, MatrixValue thatValue, MatrixValue result)
MatrixBlock	CompressedMatrixBlock.binaryOperationsInPlace(BinaryOperator op, MatrixValue thatValue)
MatrixBlock	CompressedMatrixBlock.binaryOperationsLeft(BinaryOperator op, MatrixValue thatValue, MatrixValue result)
MatrixBlock	CompressedMatrixBlock.chainMatrixMultOperations(MatrixBlock v, MatrixBlock w, MatrixBlock out, MapMultChain.ChainType ctype, int k)
MatrixBlock	CompressedMatrixBlock.colSum()
MatrixBlock	CompressedMatrixBlock.copyShallow(MatrixBlock that)
MatrixBlock	CompressedMatrixBlock.ctableSeqOperations(MatrixValue thatMatrix, double thatScalar, MatrixBlock resultBlock, boolean updateClen)
MatrixBlock	CompressedMatrixBlock.decompress()	Decompress block into a MatrixBlock
MatrixBlock	CompressedMatrixBlock.decompress(int k)	Decompress block into a MatrixBlock
MatrixBlock	CompressedMatrixBlock.extractTriangular(MatrixBlock ret, boolean lower, boolean diag, boolean values)
MatrixBlock	CompressedMatrixBlock.getCachedDecompressed()	Get the cached decompressed matrix (if it exists otherwise null).
MatrixBlock	CompressedMatrixBlock.getUncompressed()
MatrixBlock	CompressedMatrixBlock.getUncompressed(String operation)
MatrixBlock	CompressedMatrixBlock.getUncompressed(String operation, int k)
static MatrixBlock	CompressedMatrixBlock.getUncompressed(MatrixValue mVal)
static MatrixBlock	CompressedMatrixBlock.getUncompressed(MatrixValue mVal, String message)
static MatrixBlock	CompressedMatrixBlock.getUncompressed(MatrixValue mVal, String message, int k)
MatrixBlock	CompressedMatrixBlock.groupedAggOperations(MatrixValue tgt, MatrixValue wghts, MatrixValue ret, int ngroups, Operator op, int k)
MatrixBlock	CompressedMatrixBlock.leftIndexingOperations(ScalarObject scalar, int rl, int cl, MatrixBlock ret, MatrixObject.UpdateType update)
MatrixBlock	CompressedMatrixBlock.leftIndexingOperations(MatrixBlock rhsMatrix, int rl, int ru, int cl, int cu, MatrixBlock ret, MatrixObject.UpdateType update)
MatrixBlock	CompressedMatrixBlock.merge(MatrixBlock that, boolean appendOnly, boolean par, boolean deep)
MatrixBlock	CompressedMatrixBlock.pickValues(MatrixValue quantiles, MatrixValue ret)
MatrixBlock	CompressedMatrixBlock.quaternaryOperations(QuaternaryOperator qop, MatrixBlock um, MatrixBlock vm, MatrixBlock wm, MatrixBlock out, int k)
MatrixBlock	CompressedMatrixBlock.randOperationsInPlace(RandomMatrixGenerator rgen, org.apache.commons.math3.random.Well1024a bigrand, long bSeed)
MatrixBlock	CompressedMatrixBlock.randOperationsInPlace(RandomMatrixGenerator rgen, org.apache.commons.math3.random.Well1024a bigrand, long bSeed, int k)
MatrixBlock	CompressedMatrixBlock.removeEmptyOperations(MatrixBlock ret, boolean rows, boolean emptyReturn, MatrixBlock select)
MatrixBlock	CompressedMatrixBlock.reorgOperations(ReorgOperator op, MatrixValue ret, int startRow, int startColumn, int length)
MatrixBlock	CompressedMatrixBlock.replaceOperations(MatrixValue result, double pattern, double replacement)
MatrixBlock	CompressedMatrixBlock.rexpandOperations(MatrixBlock ret, double max, boolean rows, boolean cast, boolean ignore, int k)
MatrixBlock	CompressedMatrixBlock.scalarOperations(ScalarOperator sop, MatrixValue result)
MatrixBlock	CompressedMatrixBlock.seqOperationsInPlace(double from, double to, double incr)
MatrixBlock	CompressedMatrixBlock.slice(int rl, int ru, int cl, int cu, boolean deep, MatrixBlock ret)
MatrixBlock	CompressedMatrixBlock.sortOperations(MatrixValue weights, MatrixBlock result)
MatrixBlock	CompressedMatrixBlock.ternaryOperations(TernaryOperator op, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret)
MatrixBlock	CompressedMatrixBlock.transposeSelfMatrixMultOperations(MatrixBlock out, MMTSJ.MMTSJType tstype, int k)
MatrixBlock	CompressedMatrixBlock.uaggouterchainOperations(MatrixBlock mbLeft, MatrixBlock mbRight, MatrixBlock mbOut, BinaryOperator bOp, AggregateUnaryOperator uaggOp)
MatrixBlock	CompressedMatrixBlock.unaryOperations(UnaryOperator op, MatrixValue result)
MatrixBlock	CompressedMatrixBlock.zeroOutOperations(MatrixValue result, IndexRange range)

Methods in org.apache.sysds.runtime.compress that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
Future<MatrixBlock>	CompressedMatrixBlock.allocateBlockAsync()
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb)	Default sequential compression with no parallelization
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, CompressionSettingsBuilder compSettings)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, CompressionSettingsBuilder compSettings, ACostEstimate costEstimator)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, CompressionSettingsBuilder compSettings, CostEstimatorBuilder csb)	The main method for compressing the input matrix.
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, CompressionSettingsBuilder compSettings, WTreeRoot root)	The main method for compressing the input matrix.
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, ACostEstimate costEstimator)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, CostEstimatorBuilder csb)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, InstructionTypeCounter ins)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, WTreeRoot root)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, CompressionSettingsBuilder customSettings)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, ACostEstimate costEstimator)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, CostEstimatorBuilder csb)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, InstructionTypeCounter ins)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, WTreeRoot root)
SoftReference<MatrixBlock>	CompressedMatrixBlock.getSoftReferenceToDecompressed()

Methods in org.apache.sysds.runtime.compress with parameters of type MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	CompressedMatrixBlock.aggregateBinaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, AggregateBinaryOperator op)
MatrixBlock	CompressedMatrixBlock.aggregateBinaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, AggregateBinaryOperator op, boolean transposeLeft, boolean transposeRight)
MatrixBlock	CompressedMatrixBlock.append(MatrixBlock[] that, MatrixBlock ret, boolean cbind)
void	CompressedMatrixBlock.appendRowToSparse(SparseBlock dest, MatrixBlock src, int i, int rowoffset, int coloffset, boolean deep)
MatrixBlock	CompressedMatrixBlock.chainMatrixMultOperations(MatrixBlock v, MatrixBlock w, MatrixBlock out, MapMultChain.ChainType ctype, int k)
CM_COV_Object	CompressedMatrixBlock.cmOperations(CMOperator op, MatrixBlock weights)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb)	Default sequential compression with no parallelization
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, CompressionSettingsBuilder compSettings)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, CompressionSettingsBuilder compSettings, ACostEstimate costEstimator)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, CompressionSettingsBuilder compSettings, CostEstimatorBuilder csb)	The main method for compressing the input matrix.
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, CompressionSettingsBuilder compSettings, WTreeRoot root)	The main method for compressing the input matrix.
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, ACostEstimate costEstimator)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, CostEstimatorBuilder csb)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, InstructionTypeCounter ins)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, int k, WTreeRoot root)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, CompressionSettingsBuilder customSettings)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, ACostEstimate costEstimator)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, CostEstimatorBuilder csb)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, InstructionTypeCounter ins)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,CompressionStatistics>	CompressedMatrixBlockFactory.compress(MatrixBlock mb, WTreeRoot root)
void	CompressedMatrixBlock.copy(int rl, int ru, int cl, int cu, MatrixBlock src, boolean awareDestNZ)
MatrixBlock	CompressedMatrixBlock.copyShallow(MatrixBlock that)
CM_COV_Object	CompressedMatrixBlock.covOperations(COVOperator op, MatrixBlock that)
CM_COV_Object	CompressedMatrixBlock.covOperations(COVOperator op, MatrixBlock that, MatrixBlock weights)
void	CompressedMatrixBlock.ctableOperations(Operator op, double scalar, double scalar2, CTableMap resultMap, MatrixBlock resultBlock)
void	CompressedMatrixBlock.ctableOperations(Operator op, double scalar, MatrixValue that, CTableMap resultMap, MatrixBlock resultBlock)
void	CompressedMatrixBlock.ctableOperations(Operator op, MatrixIndexes ix1, double scalar, boolean left, int brlen, CTableMap resultMap, MatrixBlock resultBlock)
void	CompressedMatrixBlock.ctableOperations(Operator op, MatrixValue that, double scalar, boolean ignoreZeros, CTableMap resultMap, MatrixBlock resultBlock)
void	CompressedMatrixBlock.ctableOperations(Operator op, MatrixValue that, MatrixValue that2, CTableMap resultMap, MatrixBlock resultBlock)
MatrixBlock	CompressedMatrixBlock.ctableSeqOperations(MatrixValue thatMatrix, double thatScalar, MatrixBlock resultBlock, boolean updateClen)
MatrixBlock	CompressedMatrixBlock.extractTriangular(MatrixBlock ret, boolean lower, boolean diag, boolean values)
static CompressedMatrixBlock	CompressedMatrixBlockFactory.genUncompressedCompressedMatrixBlock(MatrixBlock mb)	Generate a CompressedMatrixBlock Object that contains a single uncompressed matrix block column group.
MatrixBlock	CompressedMatrixBlock.leftIndexingOperations(ScalarObject scalar, int rl, int cl, MatrixBlock ret, MatrixObject.UpdateType update)
MatrixBlock	CompressedMatrixBlock.leftIndexingOperations(MatrixBlock rhsMatrix, int rl, int ru, int cl, int cu, MatrixBlock ret, MatrixObject.UpdateType update)
MatrixBlock	CompressedMatrixBlock.merge(MatrixBlock that, boolean appendOnly, boolean par, boolean deep)
void	CompressedMatrixBlock.putInto(MatrixBlock target, int rowOffset, int colOffset, boolean sparseCopyShallow)
MatrixBlock	CompressedMatrixBlock.quaternaryOperations(QuaternaryOperator qop, MatrixBlock um, MatrixBlock vm, MatrixBlock wm, MatrixBlock out, int k)
MatrixBlock	CompressedMatrixBlock.removeEmptyOperations(MatrixBlock ret, boolean rows, boolean emptyReturn, MatrixBlock select)
MatrixBlock	CompressedMatrixBlock.rexpandOperations(MatrixBlock ret, double max, boolean rows, boolean cast, boolean ignore, int k)
MatrixBlock	CompressedMatrixBlock.slice(int rl, int ru, int cl, int cu, boolean deep, MatrixBlock ret)
MatrixBlock	CompressedMatrixBlock.sortOperations(MatrixValue weights, MatrixBlock result)
MatrixBlock	CompressedMatrixBlock.ternaryOperations(TernaryOperator op, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret)
static boolean	CompressedMatrixBlockFactory.transposeHeuristics(int nGroups, MatrixBlock mb)
MatrixBlock	CompressedMatrixBlock.transposeSelfMatrixMultOperations(MatrixBlock out, MMTSJ.MMTSJType tstype, int k)
MatrixBlock	CompressedMatrixBlock.uaggouterchainOperations(MatrixBlock mbLeft, MatrixBlock mbRight, MatrixBlock mbOut, BinaryOperator bOp, AggregateUnaryOperator uaggOp)

Uses of MatrixBlock in org.apache.sysds.runtime.compress.bitmap

Methods in org.apache.sysds.runtime.compress.bitmap with parameters of type MatrixBlock

Modifier and Type	Method	Description
static ABitmap	BitmapEncoder.extractBitmap(IColIndex colIndices, MatrixBlock rawBlock, boolean transposed, int estimatedNumberOfUniques, boolean sortedEntries)	Generate uncompressed bitmaps for a set of columns in an uncompressed matrix block.
static ABitmap	BitmapEncoder.extractBitmap(IColIndex colIndices, MatrixBlock rawBlock, int estimatedNumberOfUniques, CompressionSettings cs)

Uses of MatrixBlock in org.apache.sysds.runtime.compress.colgroup

Methods in org.apache.sysds.runtime.compress.colgroup that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	ColGroupUncompressed.getData()	Access for superclass

Methods in org.apache.sysds.runtime.compress.colgroup with parameters of type MatrixBlock

Modifier and Type	Method	Description
static void	ColGroupUtils.addMatrixToResult(MatrixBlock tmp, MatrixBlock result, IColIndex colIndexes, int rl, int ru)
static List<AColGroup>	ColGroupFactory.compressColGroups(MatrixBlock in, CompressedSizeInfo csi, CompressionSettings cs)	The actual compression method, that handles the logic of compressing multiple columns together.
static List<AColGroup>	ColGroupFactory.compressColGroups(MatrixBlock in, CompressedSizeInfo csi, CompressionSettings cs, int k)	The actual compression method, that handles the logic of compressing multiple columns together.
static List<AColGroup>	ColGroupFactory.compressColGroups(MatrixBlock in, CompressedSizeInfo csi, CompressionSettings cs, ACostEstimate ce, int k)
static void	ColGroupUtils.copyValuesColGroupMatrixBlocks(AColGroup lhs, AColGroup rhs, MatrixBlock tmpResult, MatrixBlock result)	Copy values from tmpResult into correct positions of result (according to colIndexes in lhs and rhs)
static AColGroup	ColGroupUncompressed.create(IColIndex colIndexes, MatrixBlock rawBlock, boolean transposed)	Main constructor for Uncompressed ColGroup.
static AColGroup	ColGroupUncompressed.create(MatrixBlock data)
static AColGroup	ColGroupUncompressed.create(MatrixBlock mb, IColIndex colIndexes)	Create an Uncompressed Matrix Block, where the columns are offset by col indexes.
static double[]	ColGroupUtils.extractMostCommonValueInColumns(MatrixBlock mb)
abstract void	AColGroup.leftMultByAColGroup(AColGroup lhs, MatrixBlock result, int nRows)	Left side matrix multiplication with a column group that is transposed.
void	AMorphingMMColGroup.leftMultByAColGroup(AColGroup lhs, MatrixBlock result, int nRows)
void	APreAgg.leftMultByAColGroup(AColGroup lhs, MatrixBlock result, int nRows)
void	ColGroupConst.leftMultByAColGroup(AColGroup lhs, MatrixBlock result, int nRows)
void	ColGroupEmpty.leftMultByAColGroup(AColGroup lhs, MatrixBlock c, int nRows)
void	ColGroupLinearFunctional.leftMultByAColGroup(AColGroup lhs, MatrixBlock result, int nRows)
void	ColGroupUncompressed.leftMultByAColGroup(AColGroup lhs, MatrixBlock result, int nRows)
abstract void	AColGroup.leftMultByMatrixNoPreAgg(MatrixBlock matrix, MatrixBlock result, int rl, int ru, int cl, int cu)	Left multiply with this column group.
void	AMorphingMMColGroup.leftMultByMatrixNoPreAgg(MatrixBlock matrix, MatrixBlock result, int rl, int ru, int cl, int cu)
void	ASDCZero.leftMultByMatrixNoPreAgg(MatrixBlock matrix, MatrixBlock result, int rl, int ru, int cl, int cu)
void	ColGroupConst.leftMultByMatrixNoPreAgg(MatrixBlock matrix, MatrixBlock result, int rl, int ru, int cl, int cu)
void	ColGroupDDC.leftMultByMatrixNoPreAgg(MatrixBlock matrix, MatrixBlock result, int rl, int ru, int cl, int cu)
void	ColGroupEmpty.leftMultByMatrixNoPreAgg(MatrixBlock matrix, MatrixBlock result, int rl, int ru, int cl, int cu)
void	ColGroupLinearFunctional.leftMultByMatrixNoPreAgg(MatrixBlock matrix, MatrixBlock result, int rl, int ru, int cl, int cu)
void	ColGroupOLE.leftMultByMatrixNoPreAgg(MatrixBlock matrix, MatrixBlock result, int rl, int ru, int cl, int cu)
void	ColGroupRLE.leftMultByMatrixNoPreAgg(MatrixBlock matrix, MatrixBlock result, int rl, int ru, int cl, int cu)
void	ColGroupUncompressed.leftMultByMatrixNoPreAgg(MatrixBlock matrix, MatrixBlock result, int rl, int ru, int cl, int cu)
void	APreAgg.mmWithDictionary(MatrixBlock preAgg, MatrixBlock tmpRes, MatrixBlock ret, int k, int rl, int ru)
void	APreAgg.preAggregate(MatrixBlock m, double[] preAgg, int rl, int ru)	Pre aggregate a matrix block into a pre aggregate target (first step of left matrix multiplication)
abstract void	APreAgg.preAggregateDense(MatrixBlock m, double[] preAgg, int rl, int ru, int cl, int cu)	Pre aggregate a dense matrix block into a pre aggregate target (first step of left matrix multiplication)
void	ColGroupDDC.preAggregateDense(MatrixBlock m, double[] preAgg, int rl, int ru, int cl, int cu)
void	ColGroupOLE.preAggregateDense(MatrixBlock m, double[] preAgg, int rl, int ru, int cl, int cu)
void	ColGroupRLE.preAggregateDense(MatrixBlock m, double[] preAgg, int rl, int ru, int cl, int cu)
void	ColGroupSDCSingleZeros.preAggregateDense(MatrixBlock m, double[] preAgg, int rl, int ru, int cl, int cu)
void	ColGroupSDCZeros.preAggregateDense(MatrixBlock m, double[] preAgg, int rl, int ru, int cl, int cu)
AColGroup	AColGroup.rightMultByMatrix(MatrixBlock right)	Right matrix multiplication with this column group.
abstract AColGroup	AColGroup.rightMultByMatrix(MatrixBlock right, IColIndex allCols)	Right matrix multiplication with this column group.
AColGroup	ADictBasedColGroup.rightMultByMatrix(MatrixBlock right, IColIndex allCols)
AColGroup	ColGroupEmpty.rightMultByMatrix(MatrixBlock right, IColIndex allCols)
AColGroup	ColGroupLinearFunctional.rightMultByMatrix(MatrixBlock right, IColIndex allCols)
AColGroup	ColGroupUncompressed.rightMultByMatrix(MatrixBlock right, IColIndex allCols)
abstract void	AColGroup.tsmm(MatrixBlock ret, int nRows)	Do a transposed self matrix multiplication on the left side t(x) %*% x.
void	AColGroupCompressed.tsmm(MatrixBlock ret, int nRows)
void	ColGroupUncompressed.tsmm(MatrixBlock ret, int nRows)
abstract void	AColGroup.tsmmAColGroup(AColGroup other, MatrixBlock result)	Matrix multiply with this other column group, but: 1.
void	AMorphingMMColGroup.tsmmAColGroup(AColGroup other, MatrixBlock result)
void	APreAgg.tsmmAColGroup(AColGroup other, MatrixBlock result)
void	ColGroupConst.tsmmAColGroup(AColGroup other, MatrixBlock result)
void	ColGroupEmpty.tsmmAColGroup(AColGroup other, MatrixBlock result)
void	ColGroupLinearFunctional.tsmmAColGroup(AColGroup other, MatrixBlock result)
void	ColGroupUncompressed.tsmmAColGroup(AColGroup lhs, MatrixBlock result)

Uses of MatrixBlock in org.apache.sysds.runtime.compress.colgroup.dictionary

Methods in org.apache.sysds.runtime.compress.colgroup.dictionary that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	MatrixBlockDictionary.getMatrixBlock()

Methods in org.apache.sysds.runtime.compress.colgroup.dictionary with parameters of type MatrixBlock

Modifier and Type	Method	Description
static MatrixBlockDictionary	MatrixBlockDictionary.create(MatrixBlock mb)
static MatrixBlockDictionary	MatrixBlockDictionary.create(MatrixBlock mb, boolean check)
void	Dictionary.MMDict(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IdentityDictionary.MMDict(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IDictionary.MMDict(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)	Matrix multiplication of dictionaries Note the left is this, and it is transposed
void	MatrixBlockDictionary.MMDict(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	PlaceHolderDict.MMDict(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	QDictionary.MMDict(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	Dictionary.MMDictDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IdentityDictionary.MMDictDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IDictionary.MMDictDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)	Matrix multiplication of dictionaries left side dense and transposed right side is this.
void	MatrixBlockDictionary.MMDictDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	PlaceHolderDict.MMDictDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	QDictionary.MMDictDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
static void	DictLibMatrixMult.MMDicts(IDictionary left, IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)	Matrix Multiply the two dictionaries, note that the left side is considered transposed but not allocated transposed making the multiplication a: t(left) %*% right
void	Dictionary.MMDictScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	IdentityDictionary.MMDictScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	IDictionary.MMDictScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)	Matrix multiplication of dictionaries Note the left is this, and it is transposed
void	MatrixBlockDictionary.MMDictScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	PlaceHolderDict.MMDictScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	QDictionary.MMDictScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	Dictionary.MMDictScalingDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	IdentityDictionary.MMDictScalingDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	IDictionary.MMDictScalingDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)	Matrix multiplication of dictionaries left side dense and transposed right side is this.
void	MatrixBlockDictionary.MMDictScalingDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	PlaceHolderDict.MMDictScalingDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	QDictionary.MMDictScalingDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	Dictionary.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	IdentityDictionary.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	IDictionary.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)	Matrix multiplication of dictionaries left side sparse and transposed right side is this.
void	MatrixBlockDictionary.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	PlaceHolderDict.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	QDictionary.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	Dictionary.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IdentityDictionary.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IDictionary.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)	Matrix multiplication of dictionaries left side sparse and transposed right side is this.
void	MatrixBlockDictionary.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	PlaceHolderDict.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	QDictionary.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
static void	DictLibMatrixMult.MMDictsWithScaling(IDictionary left, IDictionary right, IColIndex leftRows, IColIndex rightColumns, MatrixBlock result, int[] counts)	Matrix multiply with scaling (left side transposed)
static void	DictLibMatrixMult.TSMMDictionaryWithScaling(IDictionary dict, int[] counts, IColIndex rows, IColIndex cols, MatrixBlock ret)	Perform the full tsmm with the dictionary (allocating into the entire output matrix.)
void	Dictionary.TSMMToUpperTriangle(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
static void	DictLibMatrixMult.TSMMToUpperTriangle(IDictionary left, IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)	Does two matrix multiplications in one go but only add to the upper triangle.
void	IdentityDictionary.TSMMToUpperTriangle(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IDictionary.TSMMToUpperTriangle(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)	Matrix multiplication but allocate output in upper triangle and twice if on diagonal, note this is left
void	MatrixBlockDictionary.TSMMToUpperTriangle(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	PlaceHolderDict.TSMMToUpperTriangle(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	QDictionary.TSMMToUpperTriangle(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	Dictionary.TSMMToUpperTriangleDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IdentityDictionary.TSMMToUpperTriangleDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IDictionary.TSMMToUpperTriangleDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)	Matrix multiplication but allocate output in upper triangle and twice if on diagonal, note this is right
void	MatrixBlockDictionary.TSMMToUpperTriangleDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	PlaceHolderDict.TSMMToUpperTriangleDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	QDictionary.TSMMToUpperTriangleDense(double[] left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	Dictionary.TSMMToUpperTriangleDenseScaling(double[] left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	IdentityDictionary.TSMMToUpperTriangleDenseScaling(double[] left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	IDictionary.TSMMToUpperTriangleDenseScaling(double[] left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)	Matrix multiplication but allocate output in upper triangle and twice if on diagonal, note this is right
void	MatrixBlockDictionary.TSMMToUpperTriangleDenseScaling(double[] left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	PlaceHolderDict.TSMMToUpperTriangleDenseScaling(double[] left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	QDictionary.TSMMToUpperTriangleDenseScaling(double[] left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	Dictionary.TSMMToUpperTriangleScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
static void	DictLibMatrixMult.TSMMToUpperTriangleScaling(IDictionary left, IDictionary right, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)	Does two matrix multiplications in one go but only add to the upper triangle with scaling.
void	IdentityDictionary.TSMMToUpperTriangleScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	IDictionary.TSMMToUpperTriangleScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)	Matrix multiplication but allocate output in upper triangle and twice if on diagonal, note this is left
void	MatrixBlockDictionary.TSMMToUpperTriangleScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	PlaceHolderDict.TSMMToUpperTriangleScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	QDictionary.TSMMToUpperTriangleScaling(IDictionary right, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	Dictionary.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IdentityDictionary.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IDictionary.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)	Matrix multiplication but allocate output in upper triangle and twice if on diagonal, note this is right
void	MatrixBlockDictionary.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	PlaceHolderDict.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	QDictionary.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	Dictionary.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	IdentityDictionary.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	IDictionary.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)	Matrix multiplication but allocate output in upper triangle and twice if on diagonal, note this is right
void	MatrixBlockDictionary.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	PlaceHolderDict.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	QDictionary.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	Dictionary.TSMMWithScaling(int[] counts, IColIndex rows, IColIndex cols, MatrixBlock ret)
void	IdentityDictionary.TSMMWithScaling(int[] counts, IColIndex rows, IColIndex cols, MatrixBlock ret)
void	IDictionary.TSMMWithScaling(int[] counts, IColIndex rows, IColIndex cols, MatrixBlock ret)	Transpose self matrix multiplication with a scaling factor on each pair of values.
void	MatrixBlockDictionary.TSMMWithScaling(int[] counts, IColIndex rows, IColIndex cols, MatrixBlock ret)
void	PlaceHolderDict.TSMMWithScaling(int[] counts, IColIndex rows, IColIndex cols, MatrixBlock ret)
void	QDictionary.TSMMWithScaling(int[] counts, IColIndex rows, IColIndex cols, MatrixBlock ret)

Uses of MatrixBlock in org.apache.sysds.runtime.compress.colgroup.functional

Methods in org.apache.sysds.runtime.compress.colgroup.functional with parameters of type MatrixBlock

Modifier and Type	Method	Description
static double[]	LinearRegression.regressMatrixBlock(MatrixBlock rawBlock, IColIndex colIndexes, boolean transposed)

Uses of MatrixBlock in org.apache.sysds.runtime.compress.colgroup.mapping

Methods in org.apache.sysds.runtime.compress.colgroup.mapping with parameters of type MatrixBlock

Modifier and Type	Method	Description
void	AMapToData.preAggregateDense(MatrixBlock m, double[] preAV, int rl, int ru, int cl, int cu)	Pre aggregate a dense matrix m into pre, subject to only including a row segment and column segment.

Uses of MatrixBlock in org.apache.sysds.runtime.compress.colgroup.scheme

Methods in org.apache.sysds.runtime.compress.colgroup.scheme with parameters of type MatrixBlock

Modifier and Type	Method	Description
AColGroup	ACLAScheme.encode(MatrixBlock data)
AColGroup	ACLAScheme.encode(MatrixBlock data, IColIndex columns)
CompressedMatrixBlock	CompressionScheme.encode(MatrixBlock mb)	Encode the given matrix block, it is assumed that the given MatrixBlock already fit the current scheme.
CompressedMatrixBlock	CompressionScheme.encode(MatrixBlock mb, int k)	Encode the given matrix block, it is assumed that the given MatrixBlock already fit the current scheme.
AColGroup	ICLAScheme.encode(MatrixBlock data)	Encode the given matrix block into the scheme provided in the instance.
AColGroup	ICLAScheme.encode(MatrixBlock data, IColIndex columns)	Encode a given matrix block into the scheme provided in the instance but overwrite what columns to use.
AColGroup	ACLAScheme.encodeT(MatrixBlock data)
AColGroup	ACLAScheme.encodeT(MatrixBlock data, IColIndex columns)
AColGroup	ICLAScheme.encodeT(MatrixBlock data)	Encode the given matrix block into the scheme provided in the instance, the input data is transposed The method is unsafe in the sense that if the encoding scheme does not fit, there is no guarantee that an error is thrown.
AColGroup	ICLAScheme.encodeT(MatrixBlock data, IColIndex columns)	Encode a given matrix block into the scheme provided in the instance but overwrite what columns to use.
ICLAScheme	ACLAScheme.update(MatrixBlock data)
ICLAScheme	ACLAScheme.update(MatrixBlock data, IColIndex columns)
CompressionScheme	CompressionScheme.update(MatrixBlock mb)	Update the encodings contained to also enable compression of the given mb.
CompressionScheme	CompressionScheme.update(MatrixBlock mb, int k)	Update the encodings contained to also enable compression of the given mb.
ICLAScheme	ICLAScheme.update(MatrixBlock data)	Update the encoding scheme to enable compression of the given data.
ICLAScheme	ICLAScheme.update(MatrixBlock data, IColIndex columns)	Update the encoding scheme to enable compression of the given data.
Pair<ICLAScheme,AColGroup>	ACLAScheme.updateAndEncode(MatrixBlock data)
Pair<ICLAScheme,AColGroup>	ACLAScheme.updateAndEncode(MatrixBlock data, IColIndex columns)
CompressedMatrixBlock	CompressionScheme.updateAndEncode(MatrixBlock mb)
CompressedMatrixBlock	CompressionScheme.updateAndEncode(MatrixBlock mb, int k)
Pair<ICLAScheme,AColGroup>	ICLAScheme.updateAndEncode(MatrixBlock data)	Update and encode the given block in a single pass.
Pair<ICLAScheme,AColGroup>	ICLAScheme.updateAndEncode(MatrixBlock data, IColIndex columns)	Try to update and encode in a single pass over the data.
Pair<ICLAScheme,AColGroup>	ACLAScheme.updateAndEncodeT(MatrixBlock data)
Pair<ICLAScheme,AColGroup>	ACLAScheme.updateAndEncodeT(MatrixBlock data, IColIndex columns)
Pair<ICLAScheme,AColGroup>	ICLAScheme.updateAndEncodeT(MatrixBlock data)	Update and encode the given block in a single pass.
Pair<ICLAScheme,AColGroup>	ICLAScheme.updateAndEncodeT(MatrixBlock data, IColIndex columns)	Try to update and encode in a single pass over the data.
ICLAScheme	ACLAScheme.updateT(MatrixBlock data)
ICLAScheme	ACLAScheme.updateT(MatrixBlock data, IColIndex columns)
ICLAScheme	ICLAScheme.updateT(MatrixBlock data)	Update the encoding scheme to enable compression of the given data.
ICLAScheme	ICLAScheme.updateT(MatrixBlock data, IColIndex columns)	Update the encoding scheme to enable compression of the given data.

Uses of MatrixBlock in org.apache.sysds.runtime.compress.cost

Methods in org.apache.sysds.runtime.compress.cost with parameters of type MatrixBlock

Modifier and Type	Method	Description
abstract double	ACostEstimate.getCost(MatrixBlock mb)	Get the cost of a matrix block.
double	ComputationCostEstimator.getCost(MatrixBlock mb)
double	DistinctCostEstimator.getCost(MatrixBlock mb)
double	HybridCostEstimator.getCost(MatrixBlock mb)
double	MemoryCostEstimator.getCost(MatrixBlock mb)

Uses of MatrixBlock in org.apache.sysds.runtime.compress.estim

Methods in org.apache.sysds.runtime.compress.estim with parameters of type MatrixBlock

Modifier and Type	Method	Description
static AComEst	ComEstFactory.createEstimator(MatrixBlock data, CompressionSettings cs, int k)	Create an estimator for the input data with the given settings and parallelization degree.
static AComEst	ComEstFactory.createEstimator(MatrixBlock data, CompressionSettings cs, int sampleSize, int k)	Create an estimator for the input data with the given settings and parallelization degree.

Constructors in org.apache.sysds.runtime.compress.estim with parameters of type MatrixBlock

Constructor	Description
ComEstExact(MatrixBlock data, CompressionSettings compSettings)
ComEstSample(MatrixBlock data, CompressionSettings cs, int sampleSize, int k)	CompressedSizeEstimatorSample, samples from the input data and estimates the size of the compressed matrix.

Uses of MatrixBlock in org.apache.sysds.runtime.compress.estim.encoding

Methods in org.apache.sysds.runtime.compress.estim.encoding with parameters of type MatrixBlock

Modifier and Type	Method	Description
static IEncode	EncodingFactory.createFromMatrixBlock(MatrixBlock m, boolean transposed, int rowCol)	Create encoding of a single specific column inside the matrix input.
static IEncode	EncodingFactory.createFromMatrixBlock(MatrixBlock m, boolean transposed, IColIndex rowCols)	Encode a list of columns together from the input matrix, as if it is cocoded.
static IEncode	EncodingFactory.createFromMatrixBlockDelta(MatrixBlock m, boolean transposed, IColIndex rowCols)	Encode a full delta representation of the matrix input taking all rows into account.
static IEncode	EncodingFactory.createFromMatrixBlockDelta(MatrixBlock m, boolean transposed, IColIndex rowCols, int sampleSize)	Encode a delta representation of the matrix input taking the first "sampleSize" rows into account.

Uses of MatrixBlock in org.apache.sysds.runtime.compress.io

Fields in org.apache.sysds.runtime.compress.io declared as MatrixBlock

Modifier and Type	Field	Description
MatrixBlock	CompressedWriteBlock.mb

Methods in org.apache.sysds.runtime.compress.io that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	CompressUnwrap.call(CompressedWriteBlock arg0)
MatrixBlock	CompressedWriteBlock.get()
static MatrixBlock	ReaderCompressed.readCompressedMatrixFromHDFS(String fname, long rlen, long clen, int blen)
MatrixBlock	ReaderCompressed.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderCompressed.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)

Methods in org.apache.sysds.runtime.compress.io that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	ReaderSparkCompressed.getRDD(org.apache.spark.api.java.JavaSparkContext sc, String fileName)

Methods in org.apache.sysds.runtime.compress.io with parameters of type MatrixBlock

Modifier and Type	Method	Description
CompressedWriteBlock	CompressWrap.call(MatrixBlock arg0)
static void	WriterCompressed.writeCompressedMatrixToHDFS(MatrixBlock src, String fname)
static void	WriterCompressed.writeCompressedMatrixToHDFS(MatrixBlock src, String fname, int blen)
static void	WriterCompressed.writeCompressedMatrixToHDFS(MatrixBlock src, String fname, long rlen, long clen, int blen, long nnz, boolean diag)
void	WriterCompressed.writeMatrixToHDFS(MatrixBlock src, String fname, long rlen, long clen, int blen, long nnz, boolean diag)

Method parameters in org.apache.sysds.runtime.compress.io with type arguments of type MatrixBlock

Modifier and Type	Method	Description
static void	WriterCompressed.writeRDDToHDFS(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> src, String path)
static void	WriterCompressed.writeRDDToHDFS(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> src, String path, int blen, DataCharacteristics mc)

Constructors in org.apache.sysds.runtime.compress.io with parameters of type MatrixBlock

Constructor	Description
CompressedWriteBlock(MatrixBlock mb)

Uses of MatrixBlock in org.apache.sysds.runtime.compress.lib

Methods in org.apache.sysds.runtime.compress.lib that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	CLALibAggTernaryOp.agg(MatrixBlock m1, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret, AggregateTernaryOperator op, boolean inCP)
static MatrixBlock	CLALibCompAgg.aggregateUnary(CompressedMatrixBlock inputMatrix, MatrixBlock result, AggregateUnaryOperator op, int blen, MatrixIndexes indexesIn, boolean inCP)
static MatrixBlock	CLALibAppend.append(MatrixBlock left, MatrixBlock right, int k)
static MatrixBlock	CLALibBinaryCellOp.binaryOperationsLeft(BinaryOperator op, CompressedMatrixBlock m1, MatrixBlock that, MatrixBlock result)
static MatrixBlock	CLALibBinaryCellOp.binaryOperationsRight(BinaryOperator op, CompressedMatrixBlock m1, MatrixBlock that, MatrixBlock result)
static MatrixBlock	CLALibStack.combine(Map<MatrixIndexes,MatrixBlock> m, Map<Integer,List<IDictionary>> d, int k)	Combine the map of index matrix blocks into a single MatrixBlock.
static MatrixBlock	CLALibStack.combine(Map<MatrixIndexes,MatrixBlock> m, Map<Integer,List<IDictionary>> d, int rlen, int clen, int blen, int k)	Alternative read, when dimensions are known.
static MatrixBlock	CLALibDecompress.decompress(CompressedMatrixBlock cmb, int k)
static MatrixBlock	CLALibLeftMultBy.leftMultByMatrix(CompressedMatrixBlock right, MatrixBlock left, MatrixBlock ret, int k)	Left multiplication with two CompressedMatrixBlock following the equation: ret = left %*% right
static MatrixBlock	CLALibLeftMultBy.leftMultByMatrixTransposed(CompressedMatrixBlock right, CompressedMatrixBlock left, MatrixBlock ret, int k)	Left multiplication with two CompressedMatrixBlock following the equation: ret = t(left) %*% right
static MatrixBlock	CLALibLeftMultBy.leftMultByMatrixTransposed(CompressedMatrixBlock right, MatrixBlock left, MatrixBlock ret, int k)	Left multiplication with a CompressedMatrixBlock on the right following the equation: ret = t(left) %*% right
static MatrixBlock	CLALibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k)
static MatrixBlock	CLALibMatrixMult.matrixMultiply(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k, boolean transposeLeft, boolean transposeRight)
static MatrixBlock	CLALibMerge.merge(MatrixBlock a, MatrixBlock b, boolean appendOnly, boolean par, boolean deep)	Merge b into a, if possible otherwise
static MatrixBlock	CLALibMMChain.mmChain(CompressedMatrixBlock x, MatrixBlock v, MatrixBlock w, MatrixBlock out, MapMultChain.ChainType ctype, int k)	Support compressed MM chain operation to fuse the following cases :
static MatrixBlock	CLALibRexpand.rexpand(CompressedMatrixBlock in, MatrixBlock ret, double max, boolean rows, boolean cast, boolean ignore, int k)
static MatrixBlock	CLALibRightMultBy.rightMultByMatrix(CompressedMatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k)
static MatrixBlock	CLALibRightMultBy.rightMultByMatrix(CompressedMatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k, boolean allowOverlap)
static MatrixBlock	CLALibScalar.scalarOperations(ScalarOperator sop, CompressedMatrixBlock m1, MatrixValue result)
static MatrixBlock	CLALibSlice.slice(CompressedMatrixBlock cmb, int rl, int ru, int cl, int cu, boolean deep)
static MatrixBlock	CLALibSlice.sliceRowsCompressed(CompressedMatrixBlock cmb, int rl, int ru)
static MatrixBlock	CLALibTernaryOp.ternaryOperations(CompressedMatrixBlock m1, TernaryOperator op, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret)
static MatrixBlock	CLALibUnary.unaryOperations(CompressedMatrixBlock m, UnaryOperator op, MatrixValue result)

Methods in org.apache.sysds.runtime.compress.lib that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,FrameBlock>	CLALibBinCompress.binCompress(CacheBlock<?> X, MatrixBlock d, int k)
static List<MatrixBlock>	CLALibSlice.sliceBlocks(CompressedMatrixBlock cmb, int blen, int k)	Slice blocks of compressed matrices from the compressed representation.

Methods in org.apache.sysds.runtime.compress.lib with parameters of type MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	CLALibAggTernaryOp.agg(MatrixBlock m1, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret, AggregateTernaryOperator op, boolean inCP)
static MatrixBlock	CLALibCompAgg.aggregateUnary(CompressedMatrixBlock inputMatrix, MatrixBlock result, AggregateUnaryOperator op, int blen, MatrixIndexes indexesIn, boolean inCP)
static MatrixBlock	CLALibAppend.append(MatrixBlock left, MatrixBlock right, int k)
static MatrixBlock	CLALibBinaryCellOp.binaryOperationsLeft(BinaryOperator op, CompressedMatrixBlock m1, MatrixBlock that, MatrixBlock result)
static MatrixBlock	CLALibBinaryCellOp.binaryOperationsRight(BinaryOperator op, CompressedMatrixBlock m1, MatrixBlock that, MatrixBlock result)
static org.apache.commons.lang3.tuple.Pair<MatrixBlock,FrameBlock>	CLALibBinCompress.binCompress(CacheBlock<?> X, MatrixBlock d, int k)
static void	CLALibDecompress.decompressTo(CompressedMatrixBlock cmb, MatrixBlock ret, int rowOffset, int colOffset, int k, boolean countNNz)
static MatrixBlock	CLALibLeftMultBy.leftMultByMatrix(CompressedMatrixBlock right, MatrixBlock left, MatrixBlock ret, int k)	Left multiplication with two CompressedMatrixBlock following the equation: ret = left %*% right
static MatrixBlock	CLALibLeftMultBy.leftMultByMatrixTransposed(CompressedMatrixBlock right, CompressedMatrixBlock left, MatrixBlock ret, int k)	Left multiplication with two CompressedMatrixBlock following the equation: ret = t(left) %*% right
static MatrixBlock	CLALibLeftMultBy.leftMultByMatrixTransposed(CompressedMatrixBlock right, MatrixBlock left, MatrixBlock ret, int k)	Left multiplication with a CompressedMatrixBlock on the right following the equation: ret = t(left) %*% right
static void	CLALibTSMM.leftMultByTransposeSelf(CompressedMatrixBlock cmb, MatrixBlock ret, int k)	Self left Matrix multiplication (tsmm) t(x) %*% x
static MatrixBlock	CLALibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k)
static MatrixBlock	CLALibMatrixMult.matrixMultiply(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k, boolean transposeLeft, boolean transposeRight)
static MatrixBlock	CLALibMerge.merge(MatrixBlock a, MatrixBlock b, boolean appendOnly, boolean par, boolean deep)	Merge b into a, if possible otherwise
static MatrixBlock	CLALibMMChain.mmChain(CompressedMatrixBlock x, MatrixBlock v, MatrixBlock w, MatrixBlock out, MapMultChain.ChainType ctype, int k)	Support compressed MM chain operation to fuse the following cases :
static MatrixBlock	CLALibRexpand.rexpand(CompressedMatrixBlock in, MatrixBlock ret, double max, boolean rows, boolean cast, boolean ignore, int k)
static MatrixBlock	CLALibRightMultBy.rightMultByMatrix(CompressedMatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k)
static MatrixBlock	CLALibRightMultBy.rightMultByMatrix(CompressedMatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k, boolean allowOverlap)
static double[]	CLALibLeftMultBy.rowSum(MatrixBlock mb, int rl, int ru, int cl, int cu)
static MatrixBlock	CLALibTernaryOp.ternaryOperations(CompressedMatrixBlock m1, TernaryOperator op, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret)

Method parameters in org.apache.sysds.runtime.compress.lib with type arguments of type MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	CLALibStack.combine(Map<MatrixIndexes,MatrixBlock> m, Map<Integer,List<IDictionary>> d, int k)	Combine the map of index matrix blocks into a single MatrixBlock.
static MatrixBlock	CLALibStack.combine(Map<MatrixIndexes,MatrixBlock> m, Map<Integer,List<IDictionary>> d, int rlen, int clen, int blen, int k)	Alternative read, when dimensions are known.

Uses of MatrixBlock in org.apache.sysds.runtime.compress.plan

Methods in org.apache.sysds.runtime.compress.plan with parameters of type MatrixBlock

Modifier and Type	Method	Description
CompressedMatrixBlock	IPlanEncode.encode(MatrixBlock in)	Encode a given matrix block subject to the plan given, while erroring out in case of breaking compression
CompressedMatrixBlock	NaivePlanEncode.encode(MatrixBlock in)
void	IPlanEncode.expandPlan(MatrixBlock in)	Given a block expand the plan to enable encoding of the given block.
void	NaivePlanEncode.expandPlan(MatrixBlock in)
void	NaivePlanEncode.expandPlanMultiThread(MatrixBlock in)
void	NaivePlanEncode.expandPlanSingleThread(MatrixBlock in)

Uses of MatrixBlock in org.apache.sysds.runtime.compress.readers

Methods in org.apache.sysds.runtime.compress.readers with parameters of type MatrixBlock

Modifier and Type	Method	Description
static ReaderColumnSelection	ReaderColumnSelection.createReader(MatrixBlock rawBlock, IColIndex colIndices, boolean transposed)
static ReaderColumnSelection	ReaderColumnSelection.createReader(MatrixBlock rawBlock, IColIndex colIndices, boolean transposed, int rl, int ru)

Uses of MatrixBlock in org.apache.sysds.runtime.compress.utils

Methods in org.apache.sysds.runtime.compress.utils that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	CompressRDDClean.call(MatrixBlock mb)
static MatrixBlock	Util.extractValues(double[] v, IColIndex colIndexes)
static MatrixBlock	Util.matrixBlockFromDenseArray(double[] values, int nCol)
static MatrixBlock	Util.matrixBlockFromDenseArray(double[] values, int nCol, boolean check)

Methods in org.apache.sysds.runtime.compress.utils with parameters of type MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	CompressRDDClean.call(MatrixBlock mb)

Uses of MatrixBlock in org.apache.sysds.runtime.controlprogram.caching

Methods in org.apache.sysds.runtime.controlprogram.caching that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	MatrixObject.readMatrixPartition(IndexRange pred)	NOTE: for reading matrix partitions, we could cache (in its real sense) the read block with soft references (no need for eviction, as partitioning only applied for read-only matrices).

Methods in org.apache.sysds.runtime.controlprogram.caching with parameters of type MatrixBlock

Modifier and Type	Method	Description
void	MatrixObject.setInMemoryPartition(MatrixBlock block)

Constructors in org.apache.sysds.runtime.controlprogram.caching with parameters of type MatrixBlock

Constructor	Description
MatrixObject(Types.ValueType vt, String file, MetaData mtd, MatrixBlock data)	Constructor that takes the value type, HDFS filename and associated metadata and a MatrixBlock used for creation after serialization

Uses of MatrixBlock in org.apache.sysds.runtime.controlprogram.context

Methods in org.apache.sysds.runtime.controlprogram.context that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	MatrixObjectFuture.acquireRead()
MatrixBlock	ExecutionContext.getMatrixInput(String varName)	Pins a matrix variable into memory and returns the internal matrix block.
MatrixBlock	ExecutionContext.getMatrixInput(CPOperand input)
static MatrixBlock	SparkExecutionContext.toMatrixBlock(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> rdd, int rlen, int clen, int blen, long nnz)	Utility method for creating a single matrix block out of a binary block RDD.
static MatrixBlock	SparkExecutionContext.toMatrixBlock(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixCell> rdd, int rlen, int clen, long nnz)	Utility method for creating a single matrix block out of a binary cell RDD.
static MatrixBlock	SparkExecutionContext.toMatrixBlock(RDDObject rdd, int rlen, int clen, int blen, long nnz)	This method is a generic abstraction for calls from the buffer pool.
static MatrixBlock	SparkExecutionContext.toMatrixBlock(RDDObject rdd, int rlen, int clen, long nnz)

Methods in org.apache.sysds.runtime.controlprogram.context that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	SparkExecutionContext.getBinaryMatrixBlockRDDHandleForVariable(String varname)	Spark instructions should call this for all matrix inputs except broadcast variables.
org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	SparkExecutionContext.getBinaryMatrixBlockRDDHandleForVariable(String varname, int numParts, boolean inclEmpty)
PartitionedBroadcast<MatrixBlock>	SparkExecutionContext.getBroadcastForMatrixObject(MatrixObject mo)
PartitionedBroadcast<MatrixBlock>	SparkExecutionContext.getBroadcastForVariable(String varname)
List<MatrixBlock>	ExecutionContext.getMatrixInputs(CPOperand[] inputs)
List<MatrixBlock>	ExecutionContext.getMatrixInputs(CPOperand[] inputs, boolean includeList)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	SparkExecutionContext.toMatrixJavaPairRDD(org.apache.spark.api.java.JavaSparkContext sc, MatrixBlock src, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	SparkExecutionContext.toMatrixJavaPairRDD(org.apache.spark.api.java.JavaSparkContext sc, MatrixBlock src, int blen, int numParts, boolean inclEmpty)
static PartitionedBlock<MatrixBlock>	SparkExecutionContext.toPartitionedMatrixBlock(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> rdd, int rlen, int clen, int blen, long nnz)

Methods in org.apache.sysds.runtime.controlprogram.context with parameters of type MatrixBlock

Modifier and Type	Method	Description
static MatrixObject	ExecutionContext.createMatrixObject(MatrixBlock mb)
void	ExecutionContext.setMatrixOutput(String varName, MatrixBlock outputData)
void	ExecutionContext.setMatrixOutput(String varName, MatrixBlock outputData, MatrixObject.UpdateType flag)
void	ExecutionContext.setMatrixOutputAndLineage(String varName, MatrixBlock outputData, LineageItem li)
void	ExecutionContext.setMatrixOutputAndLineage(CPOperand var, MatrixBlock outputData, LineageItem li)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	SparkExecutionContext.toMatrixJavaPairRDD(org.apache.spark.api.java.JavaSparkContext sc, MatrixBlock src, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	SparkExecutionContext.toMatrixJavaPairRDD(org.apache.spark.api.java.JavaSparkContext sc, MatrixBlock src, int blen, int numParts, boolean inclEmpty)

Method parameters in org.apache.sysds.runtime.controlprogram.context with type arguments of type MatrixBlock

Modifier and Type	Method	Description
void	ExecutionContext.setMatrixOutput(String varName, Future<MatrixBlock> fmb)
void	ExecutionContext.setMatrixOutputAndLineage(String varName, Future<MatrixBlock> fmb, LineageItem li)
static MatrixBlock	SparkExecutionContext.toMatrixBlock(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> rdd, int rlen, int clen, int blen, long nnz)	Utility method for creating a single matrix block out of a binary block RDD.
static PartitionedBlock<MatrixBlock>	SparkExecutionContext.toPartitionedMatrixBlock(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> rdd, int rlen, int clen, int blen, long nnz)

Constructor parameters in org.apache.sysds.runtime.controlprogram.context with type arguments of type MatrixBlock

Constructor	Description
MatrixObjectFuture(Types.ValueType vt, String file, Future<MatrixBlock> fmb)
MatrixObjectFuture(MatrixObject mo, Future<MatrixBlock> fmb)

Uses of MatrixBlock in org.apache.sysds.runtime.controlprogram.federated

Methods in org.apache.sysds.runtime.controlprogram.federated that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	FederationUtils.aggAdd(Future<FederatedResponse>[] ffr)
static MatrixBlock	FederationUtils.aggMatrix(AggregateUnaryOperator aop, Future<FederatedResponse>[] ffr, Future<FederatedResponse>[] meanFfr, FederationMap map)
static MatrixBlock	FederationUtils.aggMatrix(AggregateUnaryOperator aop, Future<FederatedResponse>[] ffr, FederationMap map)
static MatrixBlock	FederationUtils.aggMean(Future<FederatedResponse>[] ffr, FederationMap map)
static MatrixBlock	FederationUtils.aggMinMax(Future<FederatedResponse>[] ffr, boolean isMin, boolean isScalar, Optional<FTypes.FType> fedType)
static MatrixBlock	FederationUtils.aggMinMaxIndex(Future<FederatedResponse>[] ffr, boolean isMin, FederationMap map)
static MatrixBlock	FederationUtils.aggProd(Future<FederatedResponse>[] ffr, FederationMap fedMap, AggregateUnaryOperator aop)
static MatrixBlock	FederationUtils.aggregateResponses(List<org.apache.commons.lang3.tuple.Pair<FederatedRange,Future<FederatedResponse>>> readResponses)	Aggregate partially aggregated data from federated workers by adding values with the same index in different federated locations.
static MatrixBlock	FederationUtils.aggVar(Future<FederatedResponse>[] ffr, Future<FederatedResponse>[] meanFfr, FederationMap map, boolean isRowAggregate, boolean isScalar)
static MatrixBlock	FederationUtils.bind(Future<FederatedResponse>[] ffr, boolean cbind)
static MatrixBlock	FederationUtils.bindResponses(List<org.apache.commons.lang3.tuple.Pair<FederatedRange,Future<FederatedResponse>>> readResponses, long[] dims)	Bind data from federated workers based on non-overlapping federated ranges.
static MatrixBlock[]	FederationUtils.getResults(Future<FederatedResponse>[] ffr)

Uses of MatrixBlock in org.apache.sysds.runtime.controlprogram.paramserv

Methods in org.apache.sysds.runtime.controlprogram.paramserv that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	ParamservUtils.cbindMatrix(MatrixBlock left, MatrixBlock right)
static MatrixBlock	ParamservUtils.generatePermutation(int numEntries, long seed)	Generate the permutation
static MatrixBlock	ParamservUtils.generateReplicationMatrix(int nsamples, int nrows, long seed)	Generates a matrix which when left multiplied with the input matrix will replicate n data rows
static MatrixBlock	ParamservUtils.generateSubsampleMatrix(int nsamples, int nrows, long seed)	Generates a matrix which when left multiplied with the input matrix will subsample
static MatrixBlock	ParamservUtils.sliceMatrixBlock(MatrixBlock mb, long rl, long rh)	Slice the matrix block and return a matrix block (used in spark)

Methods in org.apache.sysds.runtime.controlprogram.paramserv that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
static org.apache.spark.api.java.JavaPairRDD<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>	SparkParamservUtils.assembleTrainingData(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> featuresRDD, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> labelsRDD)	Assemble the matrix of features and labels according to the rowID
static org.apache.spark.api.java.JavaPairRDD<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>	SparkParamservUtils.assembleTrainingData(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> featuresRDD, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> labelsRDD)	Assemble the matrix of features and labels according to the rowID
static org.apache.spark.api.java.JavaPairRDD<Integer,scala.Tuple2<MatrixBlock,MatrixBlock>>	SparkParamservUtils.doPartitionOnSpark(SparkExecutionContext sec, MatrixObject features, MatrixObject labels, Statement.PSScheme scheme, int workerNum)
static org.apache.spark.api.java.JavaPairRDD<Integer,scala.Tuple2<MatrixBlock,MatrixBlock>>	SparkParamservUtils.doPartitionOnSpark(SparkExecutionContext sec, MatrixObject features, MatrixObject labels, Statement.PSScheme scheme, int workerNum)

Methods in org.apache.sysds.runtime.controlprogram.paramserv with parameters of type MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	ParamservUtils.cbindMatrix(MatrixBlock left, MatrixBlock right)
static MatrixObject	ParamservUtils.newMatrixObject(MatrixBlock mb)
static MatrixObject	ParamservUtils.newMatrixObject(MatrixBlock mb, boolean cleanup)
static MatrixBlock	ParamservUtils.sliceMatrixBlock(MatrixBlock mb, long rl, long rh)	Slice the matrix block and return a matrix block (used in spark)

Method parameters in org.apache.sysds.runtime.controlprogram.paramserv with type arguments of type MatrixBlock

Modifier and Type	Method	Description
static org.apache.spark.api.java.JavaPairRDD<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>	SparkParamservUtils.assembleTrainingData(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> featuresRDD, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> labelsRDD)	Assemble the matrix of features and labels according to the rowID
void	SparkPSWorker.call(scala.Tuple2<Integer,scala.Tuple2<MatrixBlock,MatrixBlock>> input)
void	SparkPSWorker.call(scala.Tuple2<Integer,scala.Tuple2<MatrixBlock,MatrixBlock>> input)

Uses of MatrixBlock in org.apache.sysds.runtime.controlprogram.paramserv.dp

Methods in org.apache.sysds.runtime.controlprogram.paramserv.dp that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	DRRLocalScheme.removeEmpty(MatrixBlock mb, int k, int workerId)

Methods in org.apache.sysds.runtime.controlprogram.paramserv.dp that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
scala.Tuple2<Integer,scala.Tuple2<MatrixBlock,MatrixBlock>>	DataPartitionerSparkAggregator.call(scala.Tuple2<Integer,LinkedList<scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>>> input)	Row-wise combine the matrix
scala.Tuple2<Integer,scala.Tuple2<MatrixBlock,MatrixBlock>>	DataPartitionerSparkAggregator.call(scala.Tuple2<Integer,LinkedList<scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>>> input)	Row-wise combine the matrix
Iterator<scala.Tuple2<Integer,scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>>>	DataPartitionerSparkMapper.call(scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>> input)	Do data partitioning
Iterator<scala.Tuple2<Integer,scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>>>	DataPartitionerSparkMapper.call(scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>> input)	Do data partitioning
static List<MatrixBlock>	DCLocalScheme.partition(int k, MatrixBlock mb)
static List<MatrixBlock>	ORLocalScheme.partition(int k, MatrixBlock mb, List<MatrixBlock> permutations)

Methods in org.apache.sysds.runtime.controlprogram.paramserv.dp with parameters of type MatrixBlock

Modifier and Type	Method	Description
abstract DataPartitionLocalScheme.Result	DataPartitionLocalScheme.doPartitioning(int workersNum, MatrixBlock features, MatrixBlock labels)
abstract org.apache.sysds.runtime.controlprogram.paramserv.dp.DataPartitionSparkScheme.Result	DataPartitionSparkScheme.doPartitioning(int numWorkers, int rblkID, MatrixBlock features, MatrixBlock labels)
DataPartitionLocalScheme.Result	DCLocalScheme.doPartitioning(int workersNum, MatrixBlock features, MatrixBlock labels)
org.apache.sysds.runtime.controlprogram.paramserv.dp.DataPartitionSparkScheme.Result	DCSparkScheme.doPartitioning(int numWorkers, int rblkID, MatrixBlock features, MatrixBlock labels)
DataPartitionLocalScheme.Result	DRLocalScheme.doPartitioning(int workersNum, MatrixBlock features, MatrixBlock labels)
DataPartitionLocalScheme.Result	DRRLocalScheme.doPartitioning(int workersNum, MatrixBlock features, MatrixBlock labels)
org.apache.sysds.runtime.controlprogram.paramserv.dp.DataPartitionSparkScheme.Result	DRRSparkScheme.doPartitioning(int numWorkers, int rblkID, MatrixBlock features, MatrixBlock labels)
org.apache.sysds.runtime.controlprogram.paramserv.dp.DataPartitionSparkScheme.Result	DRSparkScheme.doPartitioning(int numWorkers, int rblkID, MatrixBlock features, MatrixBlock labels)
DataPartitionLocalScheme.Result	LocalDataPartitioner.doPartitioning(int workersNum, MatrixBlock features, MatrixBlock labels)
DataPartitionLocalScheme.Result	ORLocalScheme.doPartitioning(int workersNum, MatrixBlock features, MatrixBlock labels)
org.apache.sysds.runtime.controlprogram.paramserv.dp.DataPartitionSparkScheme.Result	ORSparkScheme.doPartitioning(int numWorkers, int rblkID, MatrixBlock features, MatrixBlock labels)
org.apache.sysds.runtime.controlprogram.paramserv.dp.DataPartitionSparkScheme.Result	SparkDataPartitioner.doPartitioning(int numWorkers, MatrixBlock features, MatrixBlock labels, long rowID)
static List<MatrixBlock>	DCLocalScheme.partition(int k, MatrixBlock mb)
static List<MatrixBlock>	ORLocalScheme.partition(int k, MatrixBlock mb, List<MatrixBlock> permutations)
static MatrixBlock	DRRLocalScheme.removeEmpty(MatrixBlock mb, int k, int workerId)

Method parameters in org.apache.sysds.runtime.controlprogram.paramserv.dp with type arguments of type MatrixBlock

Modifier and Type	Method	Description
scala.Tuple2<Integer,scala.Tuple2<MatrixBlock,MatrixBlock>>	DataPartitionerSparkAggregator.call(scala.Tuple2<Integer,LinkedList<scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>>> input)	Row-wise combine the matrix
scala.Tuple2<Integer,scala.Tuple2<MatrixBlock,MatrixBlock>>	DataPartitionerSparkAggregator.call(scala.Tuple2<Integer,LinkedList<scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>>> input)	Row-wise combine the matrix
Iterator<scala.Tuple2<Integer,scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>>>	DataPartitionerSparkMapper.call(scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>> input)	Do data partitioning
Iterator<scala.Tuple2<Integer,scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>>>	DataPartitionerSparkMapper.call(scala.Tuple2<Long,scala.Tuple2<MatrixBlock,MatrixBlock>> input)	Do data partitioning
static List<MatrixBlock>	ORLocalScheme.partition(int k, MatrixBlock mb, List<MatrixBlock> permutations)

Uses of MatrixBlock in org.apache.sysds.runtime.controlprogram.parfor

Methods in org.apache.sysds.runtime.controlprogram.parfor that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	DataPartitioner.createReuseMatrixBlock(ParForProgramBlock.PDataPartitionFormat dpf, int rows, int cols)

Methods in org.apache.sysds.runtime.controlprogram.parfor that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
scala.Tuple2<MatrixIndexes,MatrixBlock>	ResultMergeRemoteSparkWCompare.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<Iterable<MatrixBlock>,MatrixBlock>> arg)

Method parameters in org.apache.sysds.runtime.controlprogram.parfor with type arguments of type MatrixBlock

Modifier and Type	Method	Description
Iterator<scala.Tuple2<Long,org.apache.hadoop.io.Writable>>	DataPartitionerRemoteSparkMapper.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
scala.Tuple2<MatrixIndexes,MatrixBlock>	ResultMergeRemoteSparkWCompare.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<Iterable<MatrixBlock>,MatrixBlock>> arg)
scala.Tuple2<MatrixIndexes,MatrixBlock>	ResultMergeRemoteSparkWCompare.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<Iterable<MatrixBlock>,MatrixBlock>> arg)

Uses of MatrixBlock in org.apache.sysds.runtime.controlprogram.parfor.util

Fields in org.apache.sysds.runtime.controlprogram.parfor.util declared as MatrixBlock

Modifier and Type	Field	Description
MatrixBlock	PairWritableBlock.block

Methods in org.apache.sysds.runtime.controlprogram.parfor.util that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	StagingFileUtils.readCellList2BlockFromLocal(String fname, int blen)
static MatrixBlock	StagingFileUtils.readCellList2BlockFromLocal(String fname, int blen, boolean sparse)

Constructors in org.apache.sysds.runtime.controlprogram.parfor.util with parameters of type MatrixBlock

Constructor	Description
PairWritableBlock(MatrixIndexes ix, MatrixBlock mb)

Uses of MatrixBlock in org.apache.sysds.runtime.data

Methods in org.apache.sysds.runtime.data with parameters of type MatrixBlock

Modifier and Type	Method	Description
void	BasicTensorBlock.set(MatrixBlock other)
void	TensorBlock.set(MatrixBlock other)

Uses of MatrixBlock in org.apache.sysds.runtime.frame.data

Methods in org.apache.sysds.runtime.frame.data with parameters of type MatrixBlock

Modifier and Type	Method	Description
static FrameBlock	FrameBlock.convertToFrameBlock(MatrixBlock mb, Types.ValueType[] schema, int k)
FrameBlock	FrameBlock.invalidByLength(MatrixBlock feaLen)	This method validates the frame data against an attribute length constrain if data value in any cell is greater than the specified threshold of that attribute the output frame will store a null on that cell position, thus removing the length-violating values.
FrameBlock	FrameBlock.removeEmptyOperations(boolean rows, boolean emptyReturn, MatrixBlock select)

Uses of MatrixBlock in org.apache.sysds.runtime.frame.data.lib

Methods in org.apache.sysds.runtime.frame.data.lib that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	MatrixBlockFromFrame.convertToMatrixBlock(FrameBlock frame, int k)	Converts a frame block with arbitrary schema into a matrix block.

Methods in org.apache.sysds.runtime.frame.data.lib with parameters of type MatrixBlock

Modifier and Type	Method	Description
static FrameBlock	FrameFromMatrixBlock.convertToFrameBlock(MatrixBlock mb, int k)
static FrameBlock	FrameFromMatrixBlock.convertToFrameBlock(MatrixBlock mb, Types.ValueType[] schema, int k)
static FrameBlock	FrameFromMatrixBlock.convertToFrameBlock(MatrixBlock mb, Types.ValueType vt, int k)
static FrameBlock	FrameLibRemoveEmpty.removeEmpty(FrameBlock fb, boolean rows, boolean emptyReturn, MatrixBlock select)

Uses of MatrixBlock in org.apache.sysds.runtime.functionobjects

Methods in org.apache.sysds.runtime.functionobjects with parameters of type MatrixBlock

Modifier and Type	Method	Description
void	CTable.execute(double v1, double v2, double w, boolean ignoreZeros, CTableMap resultMap, MatrixBlock resultBlock)
void	CTable.execute(double v1, double v2, double w, boolean ignoreZeros, MatrixBlock ctableResult)
void	CTable.execute(MatrixBlock in1, MatrixBlock in2, MatrixBlock w, CTableMap resultMap, int k)
Callable<Object>	CTable.getPartialCTableTask(MatrixBlock in1, MatrixBlock in2, MatrixBlock w, int startInd, int blockSize, ArrayList<CTableMap> pmaps)

Uses of MatrixBlock in org.apache.sysds.runtime.instructions.fed

Methods in org.apache.sysds.runtime.instructions.fed that return MatrixBlock

Modifier and Type	Method	Description
<T> MatrixBlock	QuantilePickFEDInstruction.getEquiHeightBins(ExecutionContext ec, int colID, double[] quantiles)

Uses of MatrixBlock in org.apache.sysds.runtime.instructions.spark

Methods in org.apache.sysds.runtime.instructions.spark that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	AggregateUnarySPInstruction.RDDUAggFunction2.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
MatrixBlock	BinUaggChainSPInstruction.RDDBinUaggChainFunction.call(MatrixBlock arg0)
MatrixBlock	CompressionSPInstruction.CompressionFunction.call(MatrixBlock arg0)
MatrixBlock	CompressionSPInstruction.CompressionWorkloadFunction.call(MatrixBlock arg0)
MatrixBlock[]	CtableSPInstruction.MapJoinSignature1.call(MatrixBlock v1)
MatrixBlock[]	CtableSPInstruction.MapJoinSignature2.call(scala.Tuple2<MatrixBlock,MatrixBlock> v1)
MatrixBlock[]	CtableSPInstruction.MapJoinSignature3.call(scala.Tuple2<scala.Tuple2<MatrixBlock,MatrixBlock>,MatrixBlock> v1)
MatrixBlock	DeCompressionSPInstruction.DeCompressionFunction.call(MatrixBlock arg0)
MatrixBlock	ParameterizedBuiltinSPInstruction.RDDMapGroupedAggFunction2.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
MatrixBlock	ParameterizedBuiltinSPInstruction.RDDReplaceFunction.call(MatrixBlock arg0)
static MatrixBlock	MatrixIndexingSPInstruction.inmemoryIndexing(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in1, DataCharacteristics mcIn, DataCharacteristics mcOut, IndexRange ixrange)

Methods in org.apache.sysds.runtime.instructions.spark that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
scala.Tuple2<MatrixIndexes,MatrixBlock>	AppendGAlignedSPInstruction.ShiftColumnIndex.call(scala.Tuple2<MatrixIndexes,MatrixBlock> kv)
scala.Tuple2<MatrixIndexes,MatrixBlock>	AppendGSPInstruction.MergeWithShiftedBlocks.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<Iterable<MatrixBlock>,Iterable<MatrixBlock>>> kv)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	AppendGSPInstruction.ShiftMatrix.call(scala.Tuple2<MatrixIndexes,MatrixBlock> kv)
scala.Tuple2<MatrixIndexes,MatrixBlock>	BuiltinNarySPInstruction.PadBlocksFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ParameterizedBuiltinSPInstruction.RDDMapGroupedAggFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ParameterizedBuiltinSPInstruction.RDDRemoveEmptyFunction.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<MatrixBlock,MatrixBlock>> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ParameterizedBuiltinSPInstruction.RDDRemoveEmptyFunctionInMem.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ParameterizedBuiltinSPInstruction.RDDRExpandFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
scala.Tuple2<Long,MatrixBlock>	ParameterizedBuiltinSPInstruction.RDDTransformApplyFunction2.call(scala.Tuple2<Long,FrameBlock> in)
scala.Tuple2<MatrixIndexes,MatrixBlock>	ParameterizedBuiltinSPInstruction.RDDTransformDecodeExpandFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> in)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	SpoofSPInstruction.ReplicateRightFactorFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)

Methods in org.apache.sysds.runtime.instructions.spark with parameters of type MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	BinUaggChainSPInstruction.RDDBinUaggChainFunction.call(MatrixBlock arg0)
MatrixBlock	CompressionSPInstruction.CompressionFunction.call(MatrixBlock arg0)
MatrixBlock	CompressionSPInstruction.CompressionWorkloadFunction.call(MatrixBlock arg0)
Long	CompressionSPInstruction.SizeFunction.call(MatrixBlock arg0)
MatrixBlock[]	CtableSPInstruction.MapJoinSignature1.call(MatrixBlock v1)
MatrixBlock	DeCompressionSPInstruction.DeCompressionFunction.call(MatrixBlock arg0)
Double	ParameterizedBuiltinSPInstruction.RDDContainsFunction.call(MatrixBlock arg0)
MatrixBlock	ParameterizedBuiltinSPInstruction.RDDReplaceFunction.call(MatrixBlock arg0)

Method parameters in org.apache.sysds.runtime.instructions.spark with type arguments of type MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	AggregateUnarySPInstruction.RDDUAggFunction2.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
scala.Tuple2<MatrixIndexes,MatrixBlock>	AppendGAlignedSPInstruction.ShiftColumnIndex.call(scala.Tuple2<MatrixIndexes,MatrixBlock> kv)
scala.Tuple2<MatrixIndexes,MatrixBlock>	AppendGSPInstruction.MergeWithShiftedBlocks.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<Iterable<MatrixBlock>,Iterable<MatrixBlock>>> kv)
scala.Tuple2<MatrixIndexes,MatrixBlock>	AppendGSPInstruction.MergeWithShiftedBlocks.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<Iterable<MatrixBlock>,Iterable<MatrixBlock>>> kv)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	AppendGSPInstruction.ShiftMatrix.call(scala.Tuple2<MatrixIndexes,MatrixBlock> kv)
scala.Tuple2<MatrixIndexes,MatrixBlock>	BuiltinNarySPInstruction.PadBlocksFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
MatrixBlock[]	CtableSPInstruction.MapJoinSignature2.call(scala.Tuple2<MatrixBlock,MatrixBlock> v1)
MatrixBlock[]	CtableSPInstruction.MapJoinSignature2.call(scala.Tuple2<MatrixBlock,MatrixBlock> v1)
MatrixBlock[]	CtableSPInstruction.MapJoinSignature3.call(scala.Tuple2<scala.Tuple2<MatrixBlock,MatrixBlock>,MatrixBlock> v1)
MatrixBlock[]	CtableSPInstruction.MapJoinSignature3.call(scala.Tuple2<scala.Tuple2<MatrixBlock,MatrixBlock>,MatrixBlock> v1)
MatrixBlock[]	CtableSPInstruction.MapJoinSignature3.call(scala.Tuple2<scala.Tuple2<MatrixBlock,MatrixBlock>,MatrixBlock> v1)
Iterator<scala.Tuple2<Long,Integer>>	ParameterizedBuiltinSPInstruction.RDDContainsVectFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> input)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ParameterizedBuiltinSPInstruction.RDDMapGroupedAggFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
MatrixBlock	ParameterizedBuiltinSPInstruction.RDDMapGroupedAggFunction2.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ParameterizedBuiltinSPInstruction.RDDRemoveEmptyFunction.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<MatrixBlock,MatrixBlock>> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ParameterizedBuiltinSPInstruction.RDDRemoveEmptyFunction.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<MatrixBlock,MatrixBlock>> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ParameterizedBuiltinSPInstruction.RDDRemoveEmptyFunctionInMem.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ParameterizedBuiltinSPInstruction.RDDRExpandFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
scala.Tuple2<MatrixIndexes,MatrixBlock>	ParameterizedBuiltinSPInstruction.RDDTransformDecodeExpandFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> in)
scala.Tuple2<Long,FrameBlock>	ParameterizedBuiltinSPInstruction.RDDTransformDecodeFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> in)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	SpoofSPInstruction.ReplicateRightFactorFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
static MatrixBlock	MatrixIndexingSPInstruction.inmemoryIndexing(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in1, DataCharacteristics mcIn, DataCharacteristics mcOut, IndexRange ixrange)

Constructor parameters in org.apache.sysds.runtime.instructions.spark with type arguments of type MatrixBlock

Constructor	Description
RDDContainsVectFunction(PartitionedBroadcast<MatrixBlock> bc, int blocksize)
RDDMapGroupedAggFunction(PartitionedBroadcast<MatrixBlock> pbm, Operator op, int ngroups, int blen)
RDDMapGroupedAggFunction2(PartitionedBroadcast<MatrixBlock> pbm, Operator op, int ngroups)
RDDRemoveEmptyFunctionInMem(boolean rmRows, long len, long blen, PartitionedBroadcast<MatrixBlock> off)

Uses of MatrixBlock in org.apache.sysds.runtime.instructions.spark.data

Methods in org.apache.sysds.runtime.instructions.spark.data that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	CorrMatrixBlock.getCorrection()
MatrixBlock	CorrMatrixBlock.getValue()
MatrixBlock	RowMatrixBlock.getValue()

Methods in org.apache.sysds.runtime.instructions.spark.data with parameters of type MatrixBlock

Modifier and Type	Method	Description
CorrMatrixBlock	CorrMatrixBlock.set(MatrixBlock value, MatrixBlock corr)

Constructors in org.apache.sysds.runtime.instructions.spark.data with parameters of type MatrixBlock

Constructor	Description
CorrMatrixBlock(MatrixBlock value)
CorrMatrixBlock(MatrixBlock value, MatrixBlock corr)
RowMatrixBlock(int len, int row, MatrixBlock value)

Uses of MatrixBlock in org.apache.sysds.runtime.instructions.spark.functions

Methods in org.apache.sysds.runtime.instructions.spark.functions that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	AggregateDropCorrectionFunction.call(MatrixBlock arg0)
MatrixBlock	ComputeBinaryBlockNnzFunction.call(MatrixBlock arg0)
MatrixBlock	CopyMatrixBlockFunction.call(MatrixBlock arg0)
MatrixBlock	CreateSparseBlockFunction.call(MatrixBlock arg0)
MatrixBlock[]	MapInputSignature.call(MatrixBlock v1)
MatrixBlock[]	MapJoinSignature.call(scala.Tuple2<MatrixBlock[],MatrixBlock> v1)
MatrixBlock	MatrixMatrixBinaryOpFunction.call(scala.Tuple2<MatrixBlock,MatrixBlock> arg0)
MatrixBlock	MatrixScalarUnaryFunction.call(MatrixBlock arg0)

Methods in org.apache.sysds.runtime.instructions.spark.functions that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
LazyIterableIterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	CopyMatrixBlockPairFunction.call(Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ExtractBlockForBinaryReblock.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
scala.Tuple2<MatrixIndexes,MatrixBlock>	GetMIMBFromRow.call(org.apache.spark.sql.Row row)
LazyIterableIterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	MatrixVectorBinaryOpPartitionFunction.call(Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>> arg0)
scala.Tuple2<MatrixIndexes,MatrixBlock>	ReorgMapFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ReplicateBlockFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ReplicateVectorFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)

Methods in org.apache.sysds.runtime.instructions.spark.functions with parameters of type MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	AggregateDropCorrectionFunction.call(MatrixBlock arg0)
MatrixBlock	ComputeBinaryBlockNnzFunction.call(MatrixBlock arg0)
MatrixBlock	CopyMatrixBlockFunction.call(MatrixBlock arg0)
MatrixBlock	CreateSparseBlockFunction.call(MatrixBlock arg0)
Boolean	FilterNonEmptyBlocksFunction2.call(MatrixBlock arg0)
MatrixBlock[]	MapInputSignature.call(MatrixBlock v1)
MatrixBlock	MatrixScalarUnaryFunction.call(MatrixBlock arg0)

Method parameters in org.apache.sysds.runtime.instructions.spark.functions with type arguments of type MatrixBlock

Modifier and Type	Method	Description
Iterator<String>	ConvertMatrixBlockToIJVLines.call(scala.Tuple2<MatrixIndexes,MatrixBlock> kv)
LazyIterableIterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	CopyMatrixBlockPairFunction.call(Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ExtractBlockForBinaryReblock.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Iterator<scala.Tuple2<MatrixIndexes,WeightedCell>>	ExtractGroup.ExtractGroupBroadcast.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg)
Iterator<scala.Tuple2<MatrixIndexes,WeightedCell>>	ExtractGroup.ExtractGroupJoin.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<MatrixBlock,MatrixBlock>> arg)
Iterator<scala.Tuple2<MatrixIndexes,WeightedCell>>	ExtractGroup.ExtractGroupJoin.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<MatrixBlock,MatrixBlock>> arg)
Iterator<scala.Tuple2<MatrixIndexes,WeightedCell>>	ExtractGroupNWeights.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<scala.Tuple2<MatrixBlock,MatrixBlock>,MatrixBlock>> arg)
Iterator<scala.Tuple2<MatrixIndexes,WeightedCell>>	ExtractGroupNWeights.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<scala.Tuple2<MatrixBlock,MatrixBlock>,MatrixBlock>> arg)
Iterator<scala.Tuple2<MatrixIndexes,WeightedCell>>	ExtractGroupNWeights.call(scala.Tuple2<MatrixIndexes,scala.Tuple2<scala.Tuple2<MatrixBlock,MatrixBlock>,MatrixBlock>> arg)
Boolean	FilterDiagMatrixBlocksFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Boolean	FilterNonEmptyBlocksFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Boolean	IsBlockInList.call(scala.Tuple2<MatrixIndexes,MatrixBlock> kv)
Boolean	IsBlockInRange.call(scala.Tuple2<MatrixIndexes,MatrixBlock> kv)
MatrixBlock[]	MapJoinSignature.call(scala.Tuple2<MatrixBlock[],MatrixBlock> v1)
MatrixBlock	MatrixMatrixBinaryOpFunction.call(scala.Tuple2<MatrixBlock,MatrixBlock> arg0)
MatrixBlock	MatrixMatrixBinaryOpFunction.call(scala.Tuple2<MatrixBlock,MatrixBlock> arg0)
LazyIterableIterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	MatrixVectorBinaryOpPartitionFunction.call(Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>> arg0)
org.apache.sysds.runtime.instructions.spark.functions.OuterVectorBinaryOpFunction.OuterVectorBinaryOpIterator	OuterVectorBinaryOpFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Iterator<Long>	RecomputeNnzFunction.call(Iterator<MatrixBlock> iter)
scala.Tuple2<MatrixIndexes,MatrixBlock>	ReorgMapFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ReplicateBlockFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	ReplicateVectorFunction.call(scala.Tuple2<MatrixIndexes,MatrixBlock> arg0)

Constructor parameters in org.apache.sysds.runtime.instructions.spark.functions with type arguments of type MatrixBlock

Constructor	Description
ExtractGroupBroadcast(PartitionedBroadcast<MatrixBlock> pbm, long blen, long ngroups, Operator op)
MatrixVectorBinaryOpPartitionFunction(BinaryOperator op, PartitionedBroadcast<MatrixBlock> binput, BinaryM.VectorType vtype)
OuterVectorBinaryOpFunction(BinaryOperator op, PartitionedBroadcast<MatrixBlock> binput)

Uses of MatrixBlock in org.apache.sysds.runtime.instructions.spark.utils

Methods in org.apache.sysds.runtime.instructions.spark.utils that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	RDDAggregateUtils.aggStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, AggregateOperator aop)	Single block aggregation over pair rdds with corrections for numerical stability.
static MatrixBlock	RDDAggregateUtils.aggStable(org.apache.spark.api.java.JavaRDD<MatrixBlock> in, AggregateOperator aop)	Single block aggregation over rdds with corrections for numerical stability.
static MatrixBlock	RDDAggregateUtils.sumStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in)
static MatrixBlock	RDDAggregateUtils.sumStable(org.apache.spark.api.java.JavaRDD<MatrixBlock> in)

Methods in org.apache.sysds.runtime.instructions.spark.utils that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.aggByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, AggregateOperator aop)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.aggByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, AggregateOperator aop, boolean deepCopyCombiner)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.aggByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, AggregateOperator aop, int numPartitions, boolean deepCopyCombiner)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtils.binaryBlockToBinaryBlock(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, DataCharacteristics mcIn, DataCharacteristics mcOut)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	FrameRDDConverterUtils.binaryBlockToMatrixBlock(org.apache.spark.api.java.JavaPairRDD<Long,FrameBlock> input, DataCharacteristics mcIn, DataCharacteristics mcOut)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtils.binaryCellToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixCell> input, DataCharacteristics mcOut, boolean outputEmptyBlocks)
Iterator<scala.Tuple2<MatrixIndexes,MatrixBlock>>	RDDConverterUtils.BinaryCellToBinaryBlockFunction.call(Iterator<scala.Tuple2<MatrixIndexes,MatrixCell>> arg0)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtilsExt.coordinateMatrixToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.mllib.linalg.distributed.CoordinateMatrix input, DataCharacteristics mcIn, boolean outputEmptyBlocks)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtilsExt.coordinateMatrixToBinaryBlock(org.apache.spark.SparkContext sc, org.apache.spark.mllib.linalg.distributed.CoordinateMatrix input, DataCharacteristics mcIn, boolean outputEmptyBlocks)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	SparkUtils.copyBinaryBlockMatrix(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in)	Creates a partitioning-preserving deep copy of the input matrix RDD, where the indexes and values are copied.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	SparkUtils.copyBinaryBlockMatrix(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, boolean deep)	Creates a partitioning-preserving copy of the input matrix RDD.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtils.csvToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaPairRDD<org.apache.hadoop.io.LongWritable,org.apache.hadoop.io.Text> input, DataCharacteristics mc, boolean hasHeader, String delim, boolean fill, double fillValue, Set<String> naStrings)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtils.csvToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaRDD<String> input, DataCharacteristics mcOut, boolean hasHeader, String delim, boolean fill, double fillValue, Set<String> naStrings)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtils.dataFrameToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> df, DataCharacteristics mc, boolean containsID, boolean isVector)
static List<scala.Tuple2<MatrixIndexes,MatrixBlock>>	SparkUtils.fromIndexedMatrixBlock(List<IndexedMatrixValue> in)
static scala.Tuple2<MatrixIndexes,MatrixBlock>	SparkUtils.fromIndexedMatrixBlock(IndexedMatrixValue in)
static List<Pair<MatrixIndexes,MatrixBlock>>	SparkUtils.fromIndexedMatrixBlockToPair(List<IndexedMatrixValue> in)
static Pair<MatrixIndexes,MatrixBlock>	SparkUtils.fromIndexedMatrixBlockToPair(IndexedMatrixValue in)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	SparkUtils.getEmptyBlockRDD(org.apache.spark.api.java.JavaSparkContext sc, DataCharacteristics mc)	Creates an RDD of empty blocks according to the given matrix characteristics.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtils.libsvmToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaPairRDD<org.apache.hadoop.io.LongWritable,org.apache.hadoop.io.Text> input, DataCharacteristics mc, String delim, String indexDelim)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtils.matrixBlockToAlignedMatrixBlock(org.apache.spark.api.java.JavaPairRDD<Long,MatrixBlock> input, DataCharacteristics mcIn, DataCharacteristics mcOut)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.mergeByKey(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in)	Merges disjoint data of all blocks per key.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.mergeByKey(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, boolean deepCopyCombiner)	Merges disjoint data of all blocks per key.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.mergeByKey(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, int numPartitions, boolean deepCopyCombiner)	Merges disjoint data of all blocks per key.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.mergeRowsByKey(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,RowMatrixBlock> in)	Merges disjoint data of all blocks per key.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortByVal(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, long rlen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortByVal(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in2, long rlen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortByVals(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, long rlen, long clen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortDataByIx(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> data, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> ixmap, long rlen, long clen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortDataByVal(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> val, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> data, boolean asc, long rlen, long clen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortDataByValMemSort(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> val, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> data, boolean asc, long rlen, long clen, int blen, SparkExecutionContext sec, ReorgOperator r_op)	This function collects and sorts value column in memory and then broadcasts it.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortDataByVals(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> val, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> data, boolean asc, long rlen, long clen, long clen2, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortIndexesByVal(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> val, boolean asc, long rlen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortIndexesByVals(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, boolean asc, long rlen, long clen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.sumByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.sumByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, boolean deepCopyCombiner)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.sumByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, int numPartitions, boolean deepCopyCombiner)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtils.textCellToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaPairRDD<org.apache.hadoop.io.LongWritable,org.apache.hadoop.io.Text> input, DataCharacteristics mcOut, boolean outputEmptyBlocks, FileFormatPropertiesMM mmProps)

Methods in org.apache.sysds.runtime.instructions.spark.utils with parameters of type MatrixBlock

Modifier and Type	Method	Description
static void	RDDConverterUtilsExt.copyRowBlocks(MatrixBlock mb, int rowIndex, MatrixBlock ret, int numRowsPerBlock, int rlen, int clen)
static void	RDDConverterUtilsExt.copyRowBlocks(MatrixBlock mb, int rowIndex, MatrixBlock ret, long numRowsPerBlock, long rlen, long clen)
static void	RDDConverterUtilsExt.copyRowBlocks(MatrixBlock mb, long rowIndex, MatrixBlock ret, int numRowsPerBlock, int rlen, int clen)
static void	RDDConverterUtilsExt.copyRowBlocks(MatrixBlock mb, long rowIndex, MatrixBlock ret, long numRowsPerBlock, long rlen, long clen)
static void	RDDConverterUtilsExt.postProcessAfterCopying(MatrixBlock ret)
static IndexedMatrixValue	SparkUtils.toIndexedMatrixBlock(MatrixIndexes ix, MatrixBlock mb)

Method parameters in org.apache.sysds.runtime.instructions.spark.utils with type arguments of type MatrixBlock

Modifier and Type	Method	Description
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.aggByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, AggregateOperator aop)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.aggByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, AggregateOperator aop, boolean deepCopyCombiner)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.aggByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, AggregateOperator aop, int numPartitions, boolean deepCopyCombiner)
static MatrixBlock	RDDAggregateUtils.aggStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, AggregateOperator aop)	Single block aggregation over pair rdds with corrections for numerical stability.
static MatrixBlock	RDDAggregateUtils.aggStable(org.apache.spark.api.java.JavaRDD<MatrixBlock> in, AggregateOperator aop)	Single block aggregation over rdds with corrections for numerical stability.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtils.binaryBlockToBinaryBlock(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, DataCharacteristics mcIn, DataCharacteristics mcOut)
static org.apache.spark.api.java.JavaRDD<String>	RDDConverterUtils.binaryBlockToCsv(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, DataCharacteristics mcIn, FileFormatPropertiesCSV props, boolean strict)
static org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>	RDDConverterUtils.binaryBlockToDataFrame(org.apache.spark.sql.SparkSession sparkSession, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, DataCharacteristics mc, boolean toVector)
static org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>	RDDConverterUtils.binaryBlockToDataFrame(org.apache.spark.sql.SQLContext sqlContext, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, DataCharacteristics mc, boolean toVector)	Deprecated.
static org.apache.spark.api.java.JavaRDD<org.apache.spark.ml.feature.LabeledPoint>	RDDConverterUtils.binaryBlockToLabeledPoints(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in)	Converter from binary block rdd to rdd of labeled points.
static org.apache.spark.api.java.JavaRDD<String>	RDDConverterUtils.binaryBlockToLibsvm(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, DataCharacteristics mcIn, FileFormatPropertiesLIBSVM props, boolean strict)
static org.apache.spark.api.java.JavaRDD<String>	RDDConverterUtils.binaryBlockToTextCell(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, DataCharacteristics mc)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	SparkUtils.copyBinaryBlockMatrix(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in)	Creates a partitioning-preserving deep copy of the input matrix RDD, where the indexes and values are copied.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	SparkUtils.copyBinaryBlockMatrix(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, boolean deep)	Creates a partitioning-preserving copy of the input matrix RDD.
static long	SparkUtils.getNonZeros(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> input)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDConverterUtils.matrixBlockToAlignedMatrixBlock(org.apache.spark.api.java.JavaPairRDD<Long,MatrixBlock> input, DataCharacteristics mcIn, DataCharacteristics mcOut)
static org.apache.spark.api.java.JavaPairRDD<org.apache.hadoop.io.LongWritable,FrameBlock>	FrameRDDConverterUtils.matrixBlockToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> input, DataCharacteristics mcIn)
static org.apache.spark.api.java.JavaPairRDD<Long,FrameBlock>	FrameRDDConverterUtils.matrixBlockToBinaryBlockLongIndex(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> input, DataCharacteristics dcIn)
static double	RDDAggregateUtils.max(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.mergeByKey(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in)	Merges disjoint data of all blocks per key.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.mergeByKey(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, boolean deepCopyCombiner)	Merges disjoint data of all blocks per key.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.mergeByKey(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, int numPartitions, boolean deepCopyCombiner)	Merges disjoint data of all blocks per key.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortByVal(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, long rlen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortByVal(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in2, long rlen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortByVals(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, long rlen, long clen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortDataByIx(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> data, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> ixmap, long rlen, long clen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortDataByVal(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> val, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> data, boolean asc, long rlen, long clen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortDataByValMemSort(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> val, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> data, boolean asc, long rlen, long clen, int blen, SparkExecutionContext sec, ReorgOperator r_op)	This function collects and sorts value column in memory and then broadcasts it.
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortDataByVals(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> val, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> data, boolean asc, long rlen, long clen, long clen2, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortIndexesByVal(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> val, boolean asc, long rlen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDSortUtils.sortIndexesByVals(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, boolean asc, long rlen, long clen, int blen)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.sumByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.sumByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, boolean deepCopyCombiner)
static org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock>	RDDAggregateUtils.sumByKeyStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in, int numPartitions, boolean deepCopyCombiner)
static MatrixBlock	RDDAggregateUtils.sumStable(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> in)
static MatrixBlock	RDDAggregateUtils.sumStable(org.apache.spark.api.java.JavaRDD<MatrixBlock> in)
static IndexedMatrixValue	SparkUtils.toIndexedMatrixBlock(scala.Tuple2<MatrixIndexes,MatrixBlock> in)

Uses of MatrixBlock in org.apache.sysds.runtime.io

Methods in org.apache.sysds.runtime.io that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	ReaderHDF5.computeHDF5Size(List<org.apache.hadoop.fs.Path> files, org.apache.hadoop.fs.FileSystem fs, String datasetName)
static MatrixBlock[]	MatrixWriter.createMatrixBlocksForReuse(long rlen, long clen, int blen, boolean sparse, long nonZeros)
MatrixBlock	BinaryBlockSerialization.MatrixBlockDeserializer.deserialize(MatrixBlock mb)
static MatrixBlock	MatrixWriter.getMatrixBlockForReuse(MatrixBlock[] blocks, int rows, int cols, int blen)
abstract MatrixBlock	MatrixReader.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderBinaryBlock.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderBinaryBlockParallel.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderHDF5.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderHDF5Parallel.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderTextCell.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderTextCSV.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderTextCSVParallel.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderTextLIBSVM.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderTextLIBSVMParallel.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
abstract MatrixBlock	MatrixReader.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderBinaryBlock.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderHDF5.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderHDF5Parallel.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderTextCell.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderTextCSV.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderTextCSVParallel.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderTextLIBSVM.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)
MatrixBlock	ReaderTextLIBSVMParallel.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)

Methods in org.apache.sysds.runtime.io that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
org.apache.hadoop.io.serializer.Deserializer<MatrixBlock>	BinaryBlockSerialization.getDeserializer(Class arg0)
org.apache.hadoop.io.serializer.Serializer<MatrixBlock>	BinaryBlockSerialization.getSerializer(Class arg0)

Methods in org.apache.sysds.runtime.io with parameters of type MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	BinaryBlockSerialization.MatrixBlockDeserializer.deserialize(MatrixBlock mb)
static MatrixBlock	MatrixWriter.getMatrixBlockForReuse(MatrixBlock[] blocks, int rows, int cols, int blen)
static long	ReaderHDF5.readMatrixFromHDF5(BufferedInputStream bis, String datasetName, MatrixBlock dest, int row, long rlen, long clen, int blen)
void	BinaryBlockSerialization.MatrixBlockSerializer.serialize(MatrixBlock mb)
void	WriterHDF5Parallel.writeHDF5MatrixToHDFS(org.apache.hadoop.fs.Path path, org.apache.hadoop.mapred.JobConf job, org.apache.hadoop.fs.FileSystem fs, MatrixBlock src)
void	MatrixWriter.writeMatrixToHDFS(MatrixBlock src, String fname, long rlen, long clen, int blen, long nnz)
abstract void	MatrixWriter.writeMatrixToHDFS(MatrixBlock src, String fname, long rlen, long clen, int blen, long nnz, boolean diag)
void	WriterBinaryBlock.writeMatrixToHDFS(MatrixBlock src, String fname, long rlen, long clen, int blen, long nnz, boolean diag)
void	WriterHDF5.writeMatrixToHDFS(MatrixBlock src, String fname, long rlen, long clen, int blen, long nnz, boolean diag)
void	WriterMatrixMarket.writeMatrixToHDFS(MatrixBlock src, String fname, long rlen, long clen, int blen, long nnz, boolean diag)
void	WriterTextCell.writeMatrixToHDFS(MatrixBlock src, String fname, long rlen, long clen, int blen, long nnz, boolean diag)
void	WriterTextCSV.writeMatrixToHDFS(MatrixBlock src, String fname, long rlen, long clen, int blen, long nnz, boolean diag)
void	WriterTextLIBSVM.writeMatrixToHDFS(MatrixBlock src, String fname, long rlen, long clen, int blen, long nnz, boolean diag)

Constructors in org.apache.sysds.runtime.io with parameters of type MatrixBlock

Constructor	Description
ReadTask(org.apache.hadoop.mapred.InputSplit split, org.apache.hadoop.mapred.TextInputFormat informat, org.apache.hadoop.mapred.JobConf job, MatrixBlock dest, long rlen, long clen, boolean mm, FileFormatPropertiesMM mmProps)

Uses of MatrixBlock in org.apache.sysds.runtime.iogen

Methods in org.apache.sysds.runtime.iogen that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	SampleProperties.getSampleMatrix()

Methods in org.apache.sysds.runtime.iogen with parameters of type MatrixBlock

Modifier and Type	Method	Description
void	SampleProperties.setSampleMatrix(MatrixBlock sampleMatrix)

Constructors in org.apache.sysds.runtime.iogen with parameters of type MatrixBlock

Constructor	Description
FormatIdentifyer(String raw, MatrixBlock matrix)
GenerateReaderMatrix(String sampleRaw, MatrixBlock sampleMatrix, boolean parallel)
ReaderMapping(int nlines, int nrows, int ncols, RawIndex[] sampleRawIndexes, MatrixBlock matrix)
ReaderMapping(String raw, MatrixBlock matrix)
ReaderMappingIndex(int nlines, int nrows, int ncols, RawIndex[] sampleRawIndexes, MatrixBlock matrix)
ReaderMappingIndex(String raw, MatrixBlock matrix)
SampleProperties(String sampleRaw, MatrixBlock sampleMatrix)

Uses of MatrixBlock in org.apache.sysds.runtime.iogen.template

Methods in org.apache.sysds.runtime.iogen.template that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	MatrixGenerateReader.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	MatrixGenerateReaderParallel.readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)
MatrixBlock	MatrixGenerateReader.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)
MatrixBlock	MatrixGenerateReaderParallel.readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)

Uses of MatrixBlock in org.apache.sysds.runtime.lineage

Methods in org.apache.sysds.runtime.lineage that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	LineageCache.getMatrix(LineageItem key)
MatrixBlock	LineageCacheEntry.getMBValue()

Methods in org.apache.sysds.runtime.lineage with parameters of type MatrixBlock

Modifier and Type	Method	Description
static void	LineageCache.putValueAsyncOp(LineageItem instLI, Data data, MatrixBlock mb, long starttime)
void	LineageCacheEntry.setValue(MatrixBlock val)
void	LineageCacheEntry.setValue(MatrixBlock val, long computetime)

Constructors in org.apache.sysds.runtime.lineage with parameters of type MatrixBlock

Constructor	Description
LineageCacheEntry(LineageItem key, Types.DataType dt, MatrixBlock Mval, ScalarObject Sval, long computetime)

Uses of MatrixBlock in org.apache.sysds.runtime.matrix.data

Fields in org.apache.sysds.runtime.matrix.data declared as MatrixBlock

Modifier and Type	Field	Description
MatrixBlock	DnnParameters.bias
MatrixBlock	DnnParameters.input1
MatrixBlock	DnnParameters.input2
MatrixBlock	DnnParameters.input3
MatrixBlock	DnnParameters.input4
MatrixBlock	DnnParameters.input5
MatrixBlock	DnnParameters.input6
MatrixBlock	DnnParameters.input7
MatrixBlock	DnnParameters.input8
MatrixBlock	DnnParameters.input9
MatrixBlock	DnnParameters.output
MatrixBlock	DnnParameters.output2
MatrixBlock	DnnParameters.output3
MatrixBlock	DnnParameters.output4
MatrixBlock	DnnParameters.output5

Methods in org.apache.sysds.runtime.matrix.data that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	MatrixBlock.aggregateBinaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, AggregateBinaryOperator op)
MatrixBlock	MatrixBlock.aggregateBinaryOperations(MatrixBlock m1, MatrixBlock m2, AggregateBinaryOperator op)
static MatrixBlock	LibMatrixAgg.aggregateTernary(MatrixBlock in1, MatrixBlock in2, MatrixBlock in3, MatrixBlock ret, AggregateTernaryOperator op)
static MatrixBlock	LibMatrixAgg.aggregateTernary(MatrixBlock in1, MatrixBlock in2, MatrixBlock in3, MatrixBlock ret, AggregateTernaryOperator op, int k)
static MatrixBlock	MatrixBlock.aggregateTernaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret, AggregateTernaryOperator op, boolean inCP)
static MatrixBlock	LibMatrixAgg.aggregateUnaryMatrix(AggregateUnaryOperator op, MatrixBlock in, MatrixValue result, int blen, MatrixIndexes indexesIn, boolean inCP)
MatrixBlock	MatrixBlock.aggregateUnaryOperations(AggregateUnaryOperator op, MatrixValue result, int blen, MatrixIndexes indexesIn, boolean inCP)
MatrixBlock	MatrixBlock.allocateBlock()
MatrixBlock	MatrixBlock.allocateDenseBlock()
static MatrixBlock	MatrixBlock.append(List<MatrixBlock> that, MatrixBlock ret, boolean cbind, int k)
MatrixBlock	MatrixBlock.append(MatrixBlock that)	Append that matrix to this matrix, while allocating a new matrix.
MatrixBlock	MatrixBlock.append(MatrixBlock[] that, MatrixBlock result, boolean cbind)	Append that list of matrixes to this matrix.
MatrixBlock	MatrixBlock.append(MatrixBlock that, boolean cbind)	Append that matrix to this matrix, while allocating a new matrix.
MatrixBlock	MatrixBlock.append(MatrixBlock that, MatrixBlock ret)	Append that matrix to this matrix.
MatrixBlock	MatrixBlock.append(MatrixBlock that, MatrixBlock ret, boolean cbind)	Append that matrix to this matrix.
MatrixBlock	MatrixBlock.binaryOperations(BinaryOperator op, MatrixValue thatValue)
MatrixBlock	MatrixBlock.binaryOperations(BinaryOperator op, MatrixValue thatValue, MatrixValue result)
MatrixBlock	MatrixBlock.binaryOperationsInPlace(BinaryOperator op, MatrixValue thatValue)
static MatrixBlock	LibMatrixBincell.bincellOp(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, BinaryOperator op, int k)
static MatrixBlock	LibMatrixBincell.bincellOpInPlace(MatrixBlock m1ret, MatrixBlock m2, BinaryOperator op)	NOTE: operations in place always require m1 and m2 to be of equal dimensions defaults to right side operations, updating the m1 matrix with like: m1ret op m2
static MatrixBlock	LibMatrixBincell.bincellOpInPlaceLeft(MatrixBlock m1ret, MatrixBlock m2, BinaryOperator op)	Left side operations, updating the m1 matrix like: m2 op m1ret
static MatrixBlock	LibMatrixBincell.bincellOpInPlaceRight(MatrixBlock m1ret, MatrixBlock m2, BinaryOperator op)	Right side operations, updating the m1 matrix like: m1ret op m2
static MatrixBlock	LibMatrixBincell.bincellOpScalar(MatrixBlock m1, MatrixBlock ret, ScalarOperator op, int k)
MatrixBlock	MatrixBlock.chainMatrixMultOperations(MatrixBlock v, MatrixBlock w, MatrixBlock out, MapMultChain.ChainType ctype)
MatrixBlock	MatrixBlock.chainMatrixMultOperations(MatrixBlock v, MatrixBlock w, MatrixBlock out, MapMultChain.ChainType ctype, int k)
MatrixBlock	MatrixBlock.colMax()	Wrapper method for reduceall-colMin of a matrix.
MatrixBlock	MatrixBlock.colMax(int k)
MatrixBlock	MatrixBlock.colMin()	Wrapper method for reduceall-colMin of a matrix.
MatrixBlock	MatrixBlock.colMin(int k)
MatrixBlock	MatrixBlock.colSum()	Wrapper method for single threaded reduceall-colSum of a matrix.
MatrixBlock	MatrixBlock.copyShallow(MatrixBlock that)
static MatrixBlock	LibMatrixCountDistinct.countDistinctValuesFromSketch(CountDistinctOperator op, CorrMatrixBlock corrBlkIn)
MatrixBlock	MatrixBlock.ctableSeqOperations(MatrixValue thatMatrix, double thatScalar, MatrixBlock resultBlock)	D = ctable(seq,A,w) this <- seq; thatMatrix <- A; thatScalar <- w; result <- D (i1,j1,v1) from input1 (this) (i1,j1,v2) from input2 (that) (w) from scalar_input3 (scalarThat2)
MatrixBlock	MatrixBlock.ctableSeqOperations(MatrixValue thatMatrix, double thatScalar, MatrixBlock ret, boolean updateClen)
static MatrixBlock	LibMatrixAgg.cumaggregateUnaryMatrix(MatrixBlock in, MatrixBlock out, UnaryOperator uop)
static MatrixBlock	LibMatrixAgg.cumaggregateUnaryMatrix(MatrixBlock in, MatrixBlock out, UnaryOperator uop, double[] agg)
static MatrixBlock	LibMatrixAgg.cumaggregateUnaryMatrix(MatrixBlock in, MatrixBlock out, UnaryOperator uop, int k)
static MatrixBlock	LibMatrixReorg.diag(MatrixBlock in, MatrixBlock out)
static MatrixBlock	LibMatrixMult.emptyMatrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret)
static MatrixBlock	LibMatrixCountDistinct.estimateDistinctValues(MatrixBlock in, CountDistinctOperator op)	Public method to count the number of distinct values inside a matrix.
MatrixBlock	MatrixBlock.extractTriangular(MatrixBlock ret, boolean lower, boolean diag, boolean values)
static MatrixBlock[]	LibMatrixFourier.fft(MatrixBlock re, int threads)	Function to perform FFT for a given matrix.
static MatrixBlock[]	LibMatrixFourier.fft(MatrixBlock re, MatrixBlock im, int threads)	Function to perform FFT for two given matrices.
static MatrixBlock[]	LibMatrixFourier.fft_linearized(MatrixBlock re, int threads)	Function to perform FFT for each row of a given matrix.
static MatrixBlock[]	LibMatrixFourier.fft_linearized(MatrixBlock re, MatrixBlock im, int threads)	Function to perform FFT for each row of two given matrices.
MatrixBlock	MatrixBlock.fill(double v)
static MatrixBlock	LibMatrixSketch.getUniqueValues(MatrixBlock blkIn, Types.Direction dir)
MatrixBlock	MatrixBlock.groupedAggOperations(MatrixValue tgt, MatrixValue wghts, MatrixValue ret, int ngroups, Operator op)	Invocation from CP instructions.
MatrixBlock	MatrixBlock.groupedAggOperations(MatrixValue tgt, MatrixValue wghts, MatrixValue ret, int ngroups, Operator op, int k)
static MatrixBlock[]	LibMatrixFourier.ifft(MatrixBlock re, int threads)	Function to perform IFFT for a given matrix.
static MatrixBlock[]	LibMatrixFourier.ifft(MatrixBlock re, MatrixBlock im, int threads)	Function to perform IFFT for two given matrices.
static MatrixBlock[]	LibMatrixFourier.ifft_linearized(MatrixBlock re, int threads)	Function to perform IFFT for each row of a given matrix.
static MatrixBlock[]	LibMatrixFourier.ifft_linearized(MatrixBlock re, MatrixBlock im, int threads)	Function to perform IFFT for each row of two given matrices.
MatrixBlock	MatrixBlock.leftIndexingOperations(ScalarObject scalar, int rl, int cl, MatrixBlock ret, MatrixObject.UpdateType update)	Explicitly allow left indexing for scalars.
MatrixBlock	MatrixBlock.leftIndexingOperations(MatrixBlock rhsMatrix, int rl, int ru, int cl, int cu, MatrixBlock ret, MatrixObject.UpdateType update)
MatrixBlock	MatrixBlock.leftIndexingOperations(MatrixBlock rhsMatrix, IndexRange ixrange, MatrixBlock ret, MatrixObject.UpdateType update)
static MatrixBlock	OperationsOnMatrixValues.matMult(MatrixBlock value1, MatrixBlock value2, MatrixBlock valueOut, AggregateBinaryOperator op)
static MatrixBlock	OperationsOnMatrixValues.matMult(MatrixBlock value1, MatrixBlock value2, AggregateBinaryOperator op)
static MatrixBlock	OperationsOnMatrixValues.matMult(MatrixIndexes indexes1, MatrixBlock value1, MatrixIndexes indexes2, MatrixBlock value2, MatrixIndexes indexesOut, MatrixBlock valueOut, AggregateBinaryOperator op)
static MatrixBlock	LibCommonsMath.matrixMatrixOperations(MatrixBlock in1, MatrixBlock in2, String opcode)
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2)	Performs a matrix multiplication All variants use a IKJ access pattern, and internally use dense output.
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, int k)	Performs a matrix multiplication All variants use a IKJ access pattern, and internally use dense output.
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret)	Performs a matrix multiplication and stores the result in the output matrix.
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, boolean fixedRet)	This method allows one to disabling exam sparsity.
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, boolean fixedRet, int k)	Performs a matrix multiplication and stores the result in the output matrix.
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k)	Performs a multi-threaded matrix multiplication and stores the result in the output matrix.
static MatrixBlock	LibMatrixNative.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k)	Performs matrix multiplication using native library if BLAS is available or else falls back to Java BLAS.
MatrixBlock	MatrixBlock.max(int k)	Wrapper method for reduceall-max of a matrix.
MatrixBlock	MatrixBlock.merge(MatrixBlock that, boolean appendOnly)
MatrixBlock	MatrixBlock.merge(MatrixBlock that, boolean appendOnly, boolean par)
MatrixBlock	MatrixBlock.merge(MatrixBlock that, boolean appendOnly, boolean par, boolean deep)
static MatrixBlock[]	LibCommonsMath.multiReturnOperations(MatrixBlock in, String opcode, int threads)
static MatrixBlock[]	LibCommonsMath.multiReturnOperations(MatrixBlock in, String opcode, int threads, int num_iterations, double tol)
static MatrixBlock[]	LibCommonsMath.multiReturnOperations(MatrixBlock in, String opcode, int threads, long seed)
static MatrixBlock[]	LibCommonsMath.multiReturnOperations(MatrixBlock in1, MatrixBlock in2, String opcode)
static MatrixBlock[]	LibCommonsMath.multiReturnOperations(MatrixBlock in1, MatrixBlock in2, String opcode, int threads, long seed)
static MatrixBlock	MatrixBlock.naryOperations(Operator op, MatrixBlock[] matrices, ScalarObject[] scalars, MatrixBlock ret)
MatrixBlock	MatrixBlock.pickValues(MatrixValue quantiles, MatrixValue ret)
static MatrixBlock	LibMatrixAgg.prepareAggregateUnaryOutput(MatrixBlock in, AggregateUnaryOperator op, MatrixValue result, int blen)
static MatrixBlock	LibMatrixMult.prepMatrixMultTransposeSelfInput(MatrixBlock m1, boolean leftTranspose, boolean par)
MatrixBlock	MatrixBlock.quaternaryOperations(QuaternaryOperator qop, MatrixBlock um, MatrixBlock vm, MatrixBlock wm, MatrixBlock out)
MatrixBlock	MatrixBlock.quaternaryOperations(QuaternaryOperator qop, MatrixBlock U, MatrixBlock V, MatrixBlock wm, MatrixBlock out, int k)
static MatrixBlock	MatrixBlock.randOperations(int rows, int cols, double sparsity)
static MatrixBlock	MatrixBlock.randOperations(int rows, int cols, double sparsity, double min, double max, String pdf, long seed)	Function to generate the random matrix with specified dimensions (block sizes are not specified).
static MatrixBlock	MatrixBlock.randOperations(int rows, int cols, double sparsity, double min, double max, String pdf, long seed, int k)	Function to generate the random matrix with specified dimensions (block sizes are not specified).
static MatrixBlock	MatrixBlock.randOperations(RandomMatrixGenerator rgen, long seed)	Function to generate the random matrix with specified dimensions and block dimensions.
static MatrixBlock	MatrixBlock.randOperations(RandomMatrixGenerator rgen, long seed, int k)	Function to generate the random matrix with specified dimensions and block dimensions.
MatrixBlock	MatrixBlock.randOperationsInPlace(RandomMatrixGenerator rgen, org.apache.commons.math3.random.Well1024a bigrand, long bSeed)	Function to generate a matrix of random numbers.
MatrixBlock	MatrixBlock.randOperationsInPlace(RandomMatrixGenerator rgen, org.apache.commons.math3.random.Well1024a bigrand, long bSeed, int k)	Function to generate a matrix of random numbers.
MatrixBlock	MatrixBlock.rbind(MatrixBlock that)
MatrixBlock	MatrixBlock.removeEmptyOperations(MatrixBlock ret, boolean rows, boolean emptyReturn)
MatrixBlock	MatrixBlock.removeEmptyOperations(MatrixBlock ret, boolean rows, boolean emptyReturn, MatrixBlock select)
static MatrixBlock	LibMatrixReorg.reorg(MatrixBlock in, MatrixBlock out, ReorgOperator op)
static MatrixBlock	LibMatrixReorg.reorgInPlace(MatrixBlock in, ReorgOperator op)
MatrixBlock	MatrixBlock.reorgOperations(ReorgOperator op, MatrixValue ret, int startRow, int startColumn, int length)
static MatrixBlock	LibMatrixReplace.replaceOperations(MatrixBlock in, MatrixBlock ret, double pattern, double replacement)
static MatrixBlock	LibMatrixReplace.replaceOperations(MatrixBlock in, MatrixBlock ret, double pattern, double replacement, int k)
MatrixBlock	MatrixBlock.replaceOperations(MatrixValue result, double pattern, double replacement)
static MatrixBlock	LibMatrixReorg.reshape(MatrixBlock in, int rows, int cols, boolean rowwise)	CP reshape operation (single input, single output matrix) NOTE: In contrast to R, the rowwise parameter specifies both the read and write order, with row-wise being the default, while R uses always a column-wise read, rowwise specifying the write order and column-wise being the default.
static MatrixBlock	LibMatrixReorg.reshape(MatrixBlock in, MatrixBlock out, int rows, int cols, boolean rowwise)	CP reshape operation (single input, single output matrix) NOTE: In contrast to R, the rowwise parameter specifies both the read and write order, with row-wise being the default, while R uses always a column-wise read, rowwise specifying the write order and column-wise being the default.
static MatrixBlock	LibMatrixReorg.reshape(MatrixBlock in, MatrixBlock out, int rows, int cols, boolean rowwise, int k)	CP reshape operation (single input, single output matrix) NOTE: In contrast to R, the rowwise parameter specifies both the read and write order, with row-wise being the default, while R uses always a column-wise read, rowwise specifying the write order and column-wise being the default.
static MatrixBlock	LibMatrixReorg.rev(MatrixBlock in, MatrixBlock out)
static MatrixBlock	LibMatrixReorg.rexpand(MatrixBlock in, MatrixBlock ret, double max, boolean rows, boolean cast, boolean ignore, int k)	CP rexpand operation (single input, single output), the classic example of this operation is one hot encoding of a column to multiple columns.
static MatrixBlock	LibMatrixReorg.rexpand(MatrixBlock in, MatrixBlock ret, int max, boolean rows, boolean cast, boolean ignore, int k)	CP rexpand operation (single input, single output), the classic example of this operation is one hot encoding of a column to multiple columns.
MatrixBlock	MatrixBlock.rexpandOperations(MatrixBlock ret, double max, boolean rows, boolean cast, boolean ignore, int k)
static MatrixBlock	LibMatrixReorg.rmempty(MatrixBlock in, MatrixBlock ret, boolean rows, boolean emptyReturn, MatrixBlock select)	CP rmempty operation (single input, single output matrix)
MatrixBlock	MatrixBlock.rowSum()	Wrapper method for single threaded reduceall-rowSum of a matrix.
MatrixBlock	MatrixBlock.rowSum(int k)	Wrapper method for multi threaded reduceall-rowSum of a matrix.
static MatrixBlock	MatrixBlock.sampleOperations(long range, int size, boolean replace, long seed)
MatrixBlock	MatrixBlock.scalarOperations(ScalarOperator op, MatrixValue result)
static MatrixBlock	MatrixBlock.seqOperations(double from, double to, double incr)	Method to generate a sequence according to the given parameters.
MatrixBlock	MatrixBlock.seqOperationsInPlace(double from, double to, double incr)
MatrixBlock	MatrixBlock.slice(int rl, int ru)
MatrixBlock	MatrixBlock.slice(int rl, int ru, boolean deep)
MatrixBlock	MatrixBlock.slice(int rl, int ru, int cl, int cu)
MatrixBlock	MatrixBlock.slice(int rl, int ru, int cl, int cu, boolean deep)
MatrixBlock	MatrixBlock.slice(int rl, int ru, int cl, int cu, boolean deep, MatrixBlock ret)
MatrixBlock	MatrixBlock.slice(int rl, int ru, int cl, int cu, MatrixBlock ret)
MatrixBlock	MatrixBlock.slice(IndexRange ixrange, MatrixBlock ret)
static MatrixBlock	LibMatrixReorg.sort(MatrixBlock in, MatrixBlock out, int[] by, boolean desc, boolean ixret)
static MatrixBlock	LibMatrixReorg.sort(MatrixBlock in, MatrixBlock out, int[] by, boolean desc, boolean ixret, int k)
MatrixBlock	MatrixBlock.sortOperations()
MatrixBlock	MatrixBlock.sortOperations(MatrixValue weights)
MatrixBlock	MatrixBlock.sortOperations(MatrixValue weights, MatrixBlock result)
MatrixBlock	MatrixBlock.sortOperations(MatrixValue weights, MatrixBlock result, int k)
static MatrixBlock[]	LibMatrixSTFT.stft(MatrixBlock re, int windowSize, int overlap, int threads)	Function to perform STFT on a given matrices with windowSize and overlap.
static MatrixBlock[]	LibMatrixSTFT.stft(MatrixBlock re, MatrixBlock im, int windowSize, int overlap, int threads)	Function to perform STFT on two given matrices with windowSize and overlap.
MatrixBlock	MatrixBlock.sum(int k)	Wrapper method for reduceall-sum of a matrix parallel
MatrixBlock	MatrixBlock.ternaryOperations(TernaryOperator op, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret)
MatrixBlock	CTableMap.toMatrixBlock(int rlen, int clen)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in, int k)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in, int k, boolean allowCSR)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in, MatrixBlock out)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in, MatrixBlock out, int k)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in, MatrixBlock out, int k, boolean allowCSR)
static MatrixBlock	LibMatrixReorg.transposeInPlace(MatrixBlock in, int k)
MatrixBlock	MatrixBlock.transposeSelfMatrixMultOperations(MatrixBlock out, MMTSJ.MMTSJType tstype)
MatrixBlock	MatrixBlock.transposeSelfMatrixMultOperations(MatrixBlock out, MMTSJ.MMTSJType tstype, int k)
MatrixBlock	MatrixBlock.uaggouterchainOperations(MatrixBlock mbLeft, MatrixBlock mbRight, MatrixBlock mbOut, BinaryOperator bOp, AggregateUnaryOperator uaggOp)
static MatrixBlock	LibCommonsMath.unaryOperations(MatrixBlock inj, String opcode)
MatrixBlock	MatrixBlock.unaryOperations(UnaryOperator op)
MatrixBlock	MatrixBlock.unaryOperations(UnaryOperator op, MatrixValue result)
static MatrixBlock	LibMatrixBincell.uncellOp(MatrixBlock m1, MatrixBlock ret, UnaryOperator op)
MatrixBlock	MatrixBlock.zeroOutOperations(MatrixValue result, IndexRange range)

Methods in org.apache.sysds.runtime.matrix.data that return types with arguments of type MatrixBlock

Modifier and Type	Method	Description
Future<MatrixBlock>	MatrixBlock.allocateBlockAsync()

Methods in org.apache.sysds.runtime.matrix.data with parameters of type MatrixBlock

Modifier and Type	Method	Description
static void	LibMatrixAgg.aggregateBinaryMatrix(MatrixBlock in, MatrixBlock aggVal, MatrixBlock aggCorr, boolean deep)	Core incremental matrix aggregate (ak+) as used in mapmult, tsmm, cpmm, etc.
static void	LibMatrixAgg.aggregateBinaryMatrix(MatrixBlock in, MatrixBlock aggVal, AggregateOperator aop)	Core incremental matrix aggregate (ak+) as used for uack+ and acrk+.
MatrixBlock	MatrixBlock.aggregateBinaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, AggregateBinaryOperator op)
MatrixBlock	MatrixBlock.aggregateBinaryOperations(MatrixBlock m1, MatrixBlock m2, AggregateBinaryOperator op)
static CM_COV_Object	LibMatrixAgg.aggregateCmCov(MatrixBlock in1, MatrixBlock in2, MatrixBlock in3, ValueFunction fn)	Single threaded Covariance and Central Moment operations CM = Central Moment COV = Covariance
static CM_COV_Object	LibMatrixAgg.aggregateCmCov(MatrixBlock in1, MatrixBlock in2, MatrixBlock in3, ValueFunction fn, int k)	Multi threaded Covariance and Central Moment operations CM = Central Moment COV = Covariance
static void	LibMatrixOuterAgg.aggregateMatrix(MatrixBlock in1Val, MatrixBlock outVal, double[] bv, int[] bvi, BinaryOperator bOp, AggregateUnaryOperator uaggOp)
static MatrixBlock	LibMatrixAgg.aggregateTernary(MatrixBlock in1, MatrixBlock in2, MatrixBlock in3, MatrixBlock ret, AggregateTernaryOperator op)
static MatrixBlock	LibMatrixAgg.aggregateTernary(MatrixBlock in1, MatrixBlock in2, MatrixBlock in3, MatrixBlock ret, AggregateTernaryOperator op, int k)
static MatrixBlock	MatrixBlock.aggregateTernaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret, AggregateTernaryOperator op, boolean inCP)
static void	LibMatrixAggUnarySpecialization.aggregateUnary(MatrixBlock mb, AggregateUnaryOperator op, MatrixBlock result, int blen, MatrixIndexes indexesIn)
static void	LibMatrixAgg.aggregateUnaryMatrix(MatrixBlock in, MatrixBlock out, AggregateUnaryOperator uaop)
static void	LibMatrixAgg.aggregateUnaryMatrix(MatrixBlock in, MatrixBlock out, AggregateUnaryOperator uaop, int k)
static MatrixBlock	LibMatrixAgg.aggregateUnaryMatrix(AggregateUnaryOperator op, MatrixBlock in, MatrixValue result, int blen, MatrixIndexes indexesIn, boolean inCP)
static MatrixBlock	MatrixBlock.append(List<MatrixBlock> that, MatrixBlock ret, boolean cbind, int k)
MatrixBlock	MatrixBlock.append(MatrixBlock that)	Append that matrix to this matrix, while allocating a new matrix.
MatrixBlock	MatrixBlock.append(MatrixBlock[] that, MatrixBlock result, boolean cbind)	Append that list of matrixes to this matrix.
MatrixBlock	MatrixBlock.append(MatrixBlock that, boolean cbind)	Append that matrix to this matrix, while allocating a new matrix.
MatrixBlock	MatrixBlock.append(MatrixBlock that, MatrixBlock ret)	Append that matrix to this matrix.
MatrixBlock	MatrixBlock.append(MatrixBlock that, MatrixBlock ret, boolean cbind)	Append that matrix to this matrix.
void	MatrixBlock.appendRowToSparse(SparseBlock dest, MatrixBlock src, int i, int rowoffset, int coloffset, boolean deep)
void	MatrixBlock.appendToSparse(MatrixBlock that, int rowoffset, int coloffset)
static void	LibMatrixDNN.batchNorm2D(MatrixBlock image, MatrixBlock scale, MatrixBlock bias, MatrixBlock runningMean, MatrixBlock runningVar, String phase, double epsilon, double mu, MatrixBlock ret, MatrixBlock retRunningMean, MatrixBlock retRunningVar, MatrixBlock resultSaveMean, MatrixBlock resultSaveInvVariance)
static void	LibMatrixDNN.batchNorm2DBackward(MatrixBlock image, MatrixBlock dout, MatrixBlock scale, double epsilon, MatrixBlock resultSaveMean, MatrixBlock resultSaveInvVariance, MatrixBlock dX, MatrixBlock dScale, MatrixBlock dBias)
static void	LibMatrixDNN.biasAdd(MatrixBlock input, MatrixBlock bias, MatrixBlock outputBlock, int numThreads)	Performs the operation corresponding to the DML script: ones = matrix(1, rows=1, cols=Hout*Wout) output = input + matrix(bias %*% ones, rows=1, cols=F*Hout*Wout) This operation is often followed by conv2d and hence we have introduced bias_add(input, bias) built-in function
static void	LibMatrixDNN.biasMultiply(MatrixBlock input, MatrixBlock bias, MatrixBlock outputBlock, int numThreads)	Performs the operation corresponding to the DML script: ones = matrix(1, rows=1, cols=Hout*Wout) output = input * matrix(bias %*% ones, rows=1, cols=F*Hout*Wout) This operation is often followed by conv2d and hence we have introduced bias_multiply(input, bias) built-in function
static MatrixBlock	LibMatrixBincell.bincellOp(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, BinaryOperator op, int k)
static MatrixBlock	LibMatrixBincell.bincellOpInPlace(MatrixBlock m1ret, MatrixBlock m2, BinaryOperator op)	NOTE: operations in place always require m1 and m2 to be of equal dimensions defaults to right side operations, updating the m1 matrix with like: m1ret op m2
static MatrixBlock	LibMatrixBincell.bincellOpInPlaceLeft(MatrixBlock m1ret, MatrixBlock m2, BinaryOperator op)	Left side operations, updating the m1 matrix like: m2 op m1ret
static MatrixBlock	LibMatrixBincell.bincellOpInPlaceRight(MatrixBlock m1ret, MatrixBlock m2, BinaryOperator op)	Right side operations, updating the m1 matrix like: m1ret op m2
static MatrixBlock	LibMatrixBincell.bincellOpScalar(MatrixBlock m1, MatrixBlock ret, ScalarOperator op, int k)
MatrixBlock	MatrixBlock.chainMatrixMultOperations(MatrixBlock v, MatrixBlock w, MatrixBlock out, MapMultChain.ChainType ctype)
MatrixBlock	MatrixBlock.chainMatrixMultOperations(MatrixBlock v, MatrixBlock w, MatrixBlock out, MapMultChain.ChainType ctype, int k)
static void	LibMatrixDNN.channelSums(MatrixBlock input, MatrixBlock outputBlock, int C, int HW)	Perform channel sum operation
static void	MatrixBlock.checkCMOperations(MatrixBlock mb, CMOperator op)
void	MatrixBlock.checkDimensionsForAppend(MatrixBlock[] in, boolean cbind)
static void	LibMatrixReorg.checkRexpand(MatrixBlock in, boolean ignore)	Quick check if the input is valid for rexpand, this check does not guarantee that the input is valid for rexpand
CM_COV_Object	MatrixBlock.cmOperations(CMOperator op, MatrixBlock weights)
static void	LibMatrixDNNIm2Col.col2imOverSingleImage(int outputN, MatrixBlock input, DnnParameters params)
List<Integer>	MatrixBlock.containsVector(MatrixBlock pattern, boolean earlyAbort)
static void	LibMatrixDNN.conv2d(MatrixBlock input, MatrixBlock filter, MatrixBlock outputBlock, DnnParameters params)	This method performs convolution (i.e.
static void	LibMatrixNative.conv2d(MatrixBlock input, MatrixBlock filter, MatrixBlock outputBlock, DnnParameters params)	This method performs convolution (i.e.
static void	LibMatrixDNN.conv2dBackwardData(MatrixBlock filter, MatrixBlock dout, MatrixBlock outputBlock, DnnParameters params)	This method computes the backpropogation errors for previous layer of convolution operation
static void	LibMatrixNative.conv2dBackwardData(MatrixBlock filter, MatrixBlock dout, MatrixBlock outputBlock, DnnParameters params)	This method computes the backpropagation errors for previous layer of convolution operation
static void	LibMatrixDNN.conv2dBackwardFilter(MatrixBlock input, MatrixBlock dout, MatrixBlock outputBlock, DnnParameters params)	This method computes the backpropogation errors for filter of convolution operation
static void	LibMatrixNative.conv2dBackwardFilter(MatrixBlock input, MatrixBlock dout, MatrixBlock outputBlock, DnnParameters params)	This method computes the backpropogation errors for filter of convolution operation
void	BinaryBlockToTextCellConverter.convert(MatrixIndexes k1, MatrixBlock v1)	Before calling convert, please make sure to setBlockSize(blen, blen);
void	MatrixBlock.copy(int rl, int ru, int cl, int cu, MatrixBlock src, boolean awareDestNZ)	In-place copy of matrix src into the index range of the existing current matrix.
MatrixBlock	MatrixBlock.copyShallow(MatrixBlock that)
static long	LibMatrixMult.copyUpperToLowerTriangle(MatrixBlock ret)
static long	LibMatrixMult.copyUpperToLowerTriangleDense(MatrixBlock ret)	Used for all version of TSMM where the result is known to be symmetric.
static long	LibMatrixMult.copyUpperToLowerTriangleSparse(MatrixBlock ret)
static Future<int[]>	LibMatrixReorg.countNNZColumns(MatrixBlock in, int k, ExecutorService pool)
static List<Future<int[]>>	LibMatrixReorg.countNNZColumnsFuture(MatrixBlock in, int k, ExecutorService pool)
static int[]	LibMatrixReorg.countNnzPerColumn(MatrixBlock in)
static int[]	LibMatrixReorg.countNnzPerColumn(MatrixBlock in, int rl, int ru)
CM_COV_Object	MatrixBlock.covOperations(COVOperator op, MatrixBlock that)
CM_COV_Object	MatrixBlock.covOperations(COVOperator op, MatrixBlock that, MatrixBlock weights)
static CorrMatrixBlock	LibMatrixCountDistinct.createSketch(CountDistinctOperator op, MatrixBlock blkIn)
void	CM_N_COVCell.ctableOperations(Operator op, double scalarThat, double scalarThat2, CTableMap resultMap, MatrixBlock resultBlock)
void	CM_N_COVCell.ctableOperations(Operator op, double scalarThat, MatrixValue that2, CTableMap resultMap, MatrixBlock resultBlock)
void	CM_N_COVCell.ctableOperations(Operator op, MatrixIndexes ix1, double scalarThat, boolean left, int blen, CTableMap resultMap, MatrixBlock resultBlock)
void	CM_N_COVCell.ctableOperations(Operator op, MatrixValue that, double scalarThat2, boolean ignoreZeros, CTableMap resultMap, MatrixBlock resultBlock)
void	CM_N_COVCell.ctableOperations(Operator op, MatrixValue that, MatrixValue that2, CTableMap resultMap, MatrixBlock resultBlock)
void	MatrixBlock.ctableOperations(Operator op, double scalarThat, double scalarThat2, CTableMap resultMap, MatrixBlock resultBlock)	D = ctable(A,v2,w) this <- A; scalar_that <- v2; scalar_that2 <- w; result <- D (i1,j1,v1) from input1 (this) (v2) from sclar_input2 (scalarThat) (w) from scalar_input3 (scalarThat2)
void	MatrixBlock.ctableOperations(Operator op, double scalarThat, MatrixValue that2Val, CTableMap resultMap, MatrixBlock resultBlock)	D = ctable(A,v2,W) this <- A; scalarThat <- v2; that2 <- W; result <- D (i1,j1,v1) from input1 (this) (v2) from sclar_input2 (scalarThat) (i3,j3,w) from input3 (that2)
void	MatrixBlock.ctableOperations(Operator op, MatrixIndexes ix1, double scalarThat, boolean left, int blen, CTableMap resultMap, MatrixBlock resultBlock)	Specific ctable case of ctable(seq(...),X), where X is the only matrix input.
void	MatrixBlock.ctableOperations(Operator op, MatrixValue thatVal, double scalarThat2, boolean ignoreZeros, CTableMap resultMap, MatrixBlock resultBlock)	D = ctable(A,B,w) this <- A; that <- B; scalar_that2 <- w; result <- D (i1,j1,v1) from input1 (this) (i1,j1,v2) from input2 (that) (w) from scalar_input3 (scalarThat2) NOTE: This method supports both vectors and matrices.
void	MatrixBlock.ctableOperations(Operator op, MatrixValue thatVal, MatrixValue that2Val, CTableMap resultMap, MatrixBlock resultBlock)
void	MatrixCell.ctableOperations(Operator op, double scalarThat, double scalarThat2, CTableMap resultMap, MatrixBlock resultBlock)
void	MatrixCell.ctableOperations(Operator op, double scalarThat, MatrixValue that2, CTableMap resultMap, MatrixBlock resultBlock)
void	MatrixCell.ctableOperations(Operator op, MatrixIndexes ix1, double scalarThat, boolean left, int blen, CTableMap resultMap, MatrixBlock resultBlock)
void	MatrixCell.ctableOperations(Operator op, MatrixValue that, double scalarThat2, boolean ignoreZeros, CTableMap ctableResult, MatrixBlock ctableResultBlock)
void	MatrixCell.ctableOperations(Operator op, MatrixValue that, MatrixValue that2, CTableMap resultMap, MatrixBlock resultBlock)
abstract void	MatrixValue.ctableOperations(Operator op, double scalar_that, double scalar_that2, CTableMap resultMap, MatrixBlock resultBlock)
abstract void	MatrixValue.ctableOperations(Operator op, double scalarThat, MatrixValue that2, CTableMap ctableResult, MatrixBlock ctableResultBlock)
abstract void	MatrixValue.ctableOperations(Operator op, MatrixIndexes ix1, double scalar_that, boolean left, int blen, CTableMap resultMap, MatrixBlock resultBlock)
abstract void	MatrixValue.ctableOperations(Operator op, MatrixValue that, double scalar_that2, boolean ignoreZeros, CTableMap resultMap, MatrixBlock resultBlock)
abstract void	MatrixValue.ctableOperations(Operator op, MatrixValue that, MatrixValue that2, CTableMap resultMap, MatrixBlock resultBlock)
MatrixBlock	MatrixBlock.ctableSeqOperations(MatrixValue thatMatrix, double thatScalar, MatrixBlock resultBlock)	D = ctable(seq,A,w) this <- seq; thatMatrix <- A; thatScalar <- w; result <- D (i1,j1,v1) from input1 (this) (i1,j1,v2) from input2 (that) (w) from scalar_input3 (scalarThat2)
MatrixBlock	MatrixBlock.ctableSeqOperations(MatrixValue thatMatrix, double thatScalar, MatrixBlock ret, boolean updateClen)
static MatrixBlock	LibMatrixAgg.cumaggregateUnaryMatrix(MatrixBlock in, MatrixBlock out, UnaryOperator uop)
static MatrixBlock	LibMatrixAgg.cumaggregateUnaryMatrix(MatrixBlock in, MatrixBlock out, UnaryOperator uop, double[] agg)
static MatrixBlock	LibMatrixAgg.cumaggregateUnaryMatrix(MatrixBlock in, MatrixBlock out, UnaryOperator uop, int k)
static void	LibMatrixDenseToSparse.denseToSparse(MatrixBlock r, boolean allowCSR)	Convert the given matrix block to a sparse allocation.
static void	LibMatrixDenseToSparse.denseToSparse(MatrixBlock r, boolean allowCSR, int k)
static MatrixBlock	LibMatrixReorg.diag(MatrixBlock in, MatrixBlock out)
static MatrixBlock	LibMatrixMult.emptyMatrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret)
static boolean	LibMatrixEquals.equals(MatrixBlock a, MatrixBlock b)	Analyze if the two matrix blocks are equivalent, this functions even if the underlying allocation and data structure varies.
static boolean	LibMatrixEquals.equals(MatrixBlock a, MatrixBlock b, double eps)	Analyze if the two matrix blocks are equivalent, this functions even if the underlying allocation and data structure varies.
boolean	MatrixBlock.equals(MatrixBlock arg0)	Analyze if the matrixBlocks are equivalent, the comparsion supports if the differnet sides are differently allocated such as sparse and dense.
static MatrixBlock	LibMatrixCountDistinct.estimateDistinctValues(MatrixBlock in, CountDistinctOperator op)	Public method to count the number of distinct values inside a matrix.
MatrixBlock	MatrixBlock.extractTriangular(MatrixBlock ret, boolean lower, boolean diag, boolean values)
static MatrixBlock[]	LibMatrixFourier.fft(MatrixBlock re, int threads)	Function to perform FFT for a given matrix.
static MatrixBlock[]	LibMatrixFourier.fft(MatrixBlock re, MatrixBlock im, int threads)	Function to perform FFT for two given matrices.
static MatrixBlock[]	LibMatrixFourier.fft_linearized(MatrixBlock re, int threads)	Function to perform FFT for each row of a given matrix.
static MatrixBlock[]	LibMatrixFourier.fft_linearized(MatrixBlock re, MatrixBlock im, int threads)	Function to perform FFT for each row of two given matrices.
static void	LibMatrixDatagen.generateRandomMatrix(MatrixBlock out, RandomMatrixGenerator rgen, org.apache.commons.math3.random.Well1024a bigrand, long bSeed)	Function to generate a matrix of random numbers.
static void	LibMatrixDatagen.generateRandomMatrix(MatrixBlock out, RandomMatrixGenerator rgen, org.apache.commons.math3.random.Well1024a bigrand, long bSeed, int k)	Function to generate a matrix of random numbers.
static void	LibMatrixDatagen.generateSample(MatrixBlock out, long range, int size, boolean replace, long seed)	Generates a sample of size size from a range of values [1,range].
static void	LibMatrixDatagen.generateSequence(MatrixBlock out, double from, double to, double incr)	Method to generate a sequence according to the given parameters.
static LibMatrixBincell.BinaryAccessType	LibMatrixBincell.getBinaryAccessType(MatrixBlock m1, MatrixBlock m2)
static LibMatrixBincell.BinaryAccessType	LibMatrixBincell.getBinaryAccessTypeExtended(MatrixBlock m1, MatrixBlock m2)
static MatrixBlock	LibMatrixSketch.getUniqueValues(MatrixBlock blkIn, Types.Direction dir)
static LibMatrixDNNRotate180.Rotate180Worker	LibMatrixDNNRotate180.Rotate180Worker.getWorker(MatrixBlock in, MatrixBlock out, DnnParameters params, boolean zeroOutSparseOutput, boolean trans)
static void	LibMatrixAgg.groupedAggregate(MatrixBlock groups, MatrixBlock target, MatrixBlock weights, MatrixBlock result, int numGroups, Operator op)
static void	LibMatrixAgg.groupedAggregate(MatrixBlock groups, MatrixBlock target, MatrixBlock weights, MatrixBlock result, int numGroups, Operator op, int k)
static MatrixBlock[]	LibMatrixFourier.ifft(MatrixBlock re, int threads)	Function to perform IFFT for a given matrix.
static MatrixBlock[]	LibMatrixFourier.ifft(MatrixBlock re, MatrixBlock im, int threads)	Function to perform IFFT for two given matrices.
static MatrixBlock[]	LibMatrixFourier.ifft_linearized(MatrixBlock re, int threads)	Function to perform IFFT for each row of a given matrix.
static MatrixBlock[]	LibMatrixFourier.ifft_linearized(MatrixBlock re, MatrixBlock im, int threads)	Function to perform IFFT for each row of two given matrices.
static void	LibMatrixDNNIm2Col.im2col(MatrixBlock in, MatrixBlock out, int r, int C, int R, int S, int H, int W, int P, int Q, int stride_h, int stride_w, int pad_h, int pad_w, boolean trans)
static void	LibMatrixDNNIm2Col.im2col(MatrixBlock in, MatrixBlock out, int r, DnnParameters params, boolean trans)
static void	LibMatrixDNNIm2Col.im2colSparse(MatrixBlock in, MatrixBlock out, int r, int C, int R, int S, int H, int W, int P, int Q, int stride_h, int stride_w, int pad_h, int pad_w, boolean trans)
static boolean	LibMatrixMult.isSparseOutputMatrixMult(MatrixBlock m1, MatrixBlock m2)
static boolean	LibMatrixMult.isSparseOutputTSMM(MatrixBlock m1)
static boolean	LibMatrixMult.isSparseOutputTSMM(MatrixBlock m1, boolean ultraSparse)
static boolean	LibMatrixMult.isUltraSparseMatrixMult(MatrixBlock m1, MatrixBlock m2, boolean m1Perm)
static void	LibMatrixBincell.isValidDimensionsBinary(MatrixBlock m1, MatrixBlock m2)
static void	LibMatrixBincell.isValidDimensionsBinaryExtended(MatrixBlock m1, MatrixBlock m2)
MatrixBlock	MatrixBlock.leftIndexingOperations(ScalarObject scalar, int rl, int cl, MatrixBlock ret, MatrixObject.UpdateType update)	Explicitly allow left indexing for scalars.
MatrixBlock	MatrixBlock.leftIndexingOperations(MatrixBlock rhsMatrix, int rl, int ru, int cl, int cu, MatrixBlock ret, MatrixObject.UpdateType update)
MatrixBlock	MatrixBlock.leftIndexingOperations(MatrixBlock rhsMatrix, IndexRange ixrange, MatrixBlock ret, MatrixObject.UpdateType update)
static void	LibMatrixDNNLSTM.lstmTile(int n, int d, int T, int m, int start, int end, MatrixBlock x, MatrixBlock w, MatrixBlock bias, MatrixBlock out0, MatrixBlock c0, boolean return_sequences, MatrixBlock out, MatrixBlock cout, MatrixBlock cache_out, MatrixBlock cache_c, MatrixBlock cache_ifog)
static MatrixBlock	OperationsOnMatrixValues.matMult(MatrixBlock value1, MatrixBlock value2, MatrixBlock valueOut, AggregateBinaryOperator op)
static MatrixBlock	OperationsOnMatrixValues.matMult(MatrixBlock value1, MatrixBlock value2, AggregateBinaryOperator op)
static MatrixBlock	OperationsOnMatrixValues.matMult(MatrixIndexes indexes1, MatrixBlock value1, MatrixIndexes indexes2, MatrixBlock value2, MatrixIndexes indexesOut, MatrixBlock valueOut, AggregateBinaryOperator op)
static MatrixBlock	LibCommonsMath.matrixMatrixOperations(MatrixBlock in1, MatrixBlock in2, String opcode)
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2)	Performs a matrix multiplication All variants use a IKJ access pattern, and internally use dense output.
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, int k)	Performs a matrix multiplication All variants use a IKJ access pattern, and internally use dense output.
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret)	Performs a matrix multiplication and stores the result in the output matrix.
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, boolean fixedRet)	This method allows one to disabling exam sparsity.
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, boolean fixedRet, int k)	Performs a matrix multiplication and stores the result in the output matrix.
static MatrixBlock	LibMatrixMult.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k)	Performs a multi-threaded matrix multiplication and stores the result in the output matrix.
static MatrixBlock	LibMatrixNative.matrixMult(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, int k)	Performs matrix multiplication using native library if BLAS is available or else falls back to Java BLAS.
static void	LibMatrixMult.matrixMultChain(MatrixBlock mX, MatrixBlock mV, MatrixBlock mW, MatrixBlock ret, MapMultChain.ChainType ct)	Performs a matrix multiplication chain operation of type t(X)%*%(X%*%v) or t(X)%*%(w*(X%*%v)).
static void	LibMatrixMult.matrixMultChain(MatrixBlock mX, MatrixBlock mV, MatrixBlock mW, MatrixBlock ret, MapMultChain.ChainType ct, int k)	Performs a parallel matrix multiplication chain operation of type t(X)%*%(X%*%v) or t(X)%*%(w*(X%*%v)).
static void	LibMatrixMult.matrixMultPermute(MatrixBlock pm1, MatrixBlock m2, MatrixBlock ret1, MatrixBlock ret2)
static void	LibMatrixMult.matrixMultPermute(MatrixBlock pm1, MatrixBlock m2, MatrixBlock ret1, MatrixBlock ret2, int k)
static void	LibMatrixMult.matrixMultTransposeSelf(MatrixBlock m1, MatrixBlock ret, boolean leftTranspose)
static void	LibMatrixMult.matrixMultTransposeSelf(MatrixBlock m1, MatrixBlock ret, boolean leftTranspose, boolean copyToLowerTriangle)
static void	LibMatrixMult.matrixMultTransposeSelf(MatrixBlock m1, MatrixBlock ret, boolean leftTranspose, int k)	TSMM with optional transposed left side or not (Transposed self matrix multiplication)
static void	LibMatrixMult.matrixMultWCeMM(MatrixBlock mW, MatrixBlock mU, MatrixBlock mV, double eps, MatrixBlock ret, WeightedCrossEntropy.WCeMMType wt)
static void	LibMatrixMult.matrixMultWCeMM(MatrixBlock mW, MatrixBlock mU, MatrixBlock mV, double eps, MatrixBlock ret, WeightedCrossEntropy.WCeMMType wt, int k)
static void	LibMatrixMult.matrixMultWDivMM(MatrixBlock mW, MatrixBlock mU, MatrixBlock mV, MatrixBlock mX, MatrixBlock ret, WeightedDivMM.WDivMMType wt)	NOTE: This operation has limited NaN support, which is acceptable because all our sparse-safe operations have only limited NaN support.
static void	LibMatrixMult.matrixMultWDivMM(MatrixBlock mW, MatrixBlock mU, MatrixBlock mV, MatrixBlock mX, MatrixBlock ret, WeightedDivMM.WDivMMType wt, int k)	NOTE: This operation has limited NaN support, which is acceptable because all our sparse-safe operations have only limited NaN support.
static void	LibMatrixMult.matrixMultWSigmoid(MatrixBlock mW, MatrixBlock mU, MatrixBlock mV, MatrixBlock ret, WeightedSigmoid.WSigmoidType wt)
static void	LibMatrixMult.matrixMultWSigmoid(MatrixBlock mW, MatrixBlock mU, MatrixBlock mV, MatrixBlock ret, WeightedSigmoid.WSigmoidType wt, int k)
static void	LibMatrixMult.matrixMultWSLoss(MatrixBlock mX, MatrixBlock mU, MatrixBlock mV, MatrixBlock mW, MatrixBlock ret, WeightedSquaredLoss.WeightsType wt)
static void	LibMatrixMult.matrixMultWSLoss(MatrixBlock mX, MatrixBlock mU, MatrixBlock mV, MatrixBlock mW, MatrixBlock ret, WeightedSquaredLoss.WeightsType wt, int k)
static void	LibMatrixMult.matrixMultWuMM(MatrixBlock mW, MatrixBlock mU, MatrixBlock mV, MatrixBlock ret, WeightedUnaryMM.WUMMType wt, ValueFunction fn)
static void	LibMatrixMult.matrixMultWuMM(MatrixBlock mW, MatrixBlock mU, MatrixBlock mV, MatrixBlock ret, WeightedUnaryMM.WUMMType wt, ValueFunction fn, int k)
MatrixBlock	MatrixBlock.merge(MatrixBlock that, boolean appendOnly)
MatrixBlock	MatrixBlock.merge(MatrixBlock that, boolean appendOnly, boolean par)
MatrixBlock	MatrixBlock.merge(MatrixBlock that, boolean appendOnly, boolean par, boolean deep)
static MatrixBlock[]	LibCommonsMath.multiReturnOperations(MatrixBlock in, String opcode, int threads)
static MatrixBlock[]	LibCommonsMath.multiReturnOperations(MatrixBlock in, String opcode, int threads, int num_iterations, double tol)
static MatrixBlock[]	LibCommonsMath.multiReturnOperations(MatrixBlock in, String opcode, int threads, long seed)
static MatrixBlock[]	LibCommonsMath.multiReturnOperations(MatrixBlock in1, MatrixBlock in2, String opcode)
static MatrixBlock[]	LibCommonsMath.multiReturnOperations(MatrixBlock in1, MatrixBlock in2, String opcode, int threads, long seed)
static MatrixBlock	MatrixBlock.naryOperations(Operator op, MatrixBlock[] matrices, ScalarObject[] scalars, MatrixBlock ret)
static void	OperationsOnMatrixValues.performMapGroupedAggregate(Operator op, IndexedMatrixValue inTarget, MatrixBlock groups, int ngroups, int blen, ArrayList<IndexedMatrixValue> outlist)
static List	OperationsOnMatrixValues.performSlice(IndexRange ixrange, int blen, int iix, int jix, MatrixBlock in)
static void	LibMatrixDNN.pooling(MatrixBlock input, MatrixBlock output, DnnParameters params, LibMatrixDNN.PoolingType poolType)
static void	LibMatrixDNN.poolingBackward(MatrixBlock input, MatrixBlock dout, MatrixBlock outputBlock, DnnParameters params, boolean performReluBackward, LibMatrixDNN.PoolingType poolType)	This method computes the backpropogation errors for previous layer of pooling operation
static void	LibMatrixDNNIm2Col.preallocateSparseOutput(MatrixBlock in, MatrixBlock out)
static MatrixBlock	LibMatrixAgg.prepareAggregateUnaryOutput(MatrixBlock in, AggregateUnaryOperator op, MatrixValue result, int blen)
static MatrixBlock	LibMatrixMult.prepMatrixMultTransposeSelfInput(MatrixBlock m1, boolean leftTranspose, boolean par)
void	MatrixBlock.putInto(MatrixBlock target, int rowOffset, int colOffset, boolean sparseCopyShallow)	Method for copying this matrix into a target matrix.
MatrixBlock	MatrixBlock.quaternaryOperations(QuaternaryOperator qop, MatrixBlock um, MatrixBlock vm, MatrixBlock wm, MatrixBlock out)
MatrixBlock	MatrixBlock.quaternaryOperations(QuaternaryOperator qop, MatrixBlock U, MatrixBlock V, MatrixBlock wm, MatrixBlock out, int k)
MatrixBlock	MatrixBlock.rbind(MatrixBlock that)
static void	LibMatrixAgg.recomputeIndexes(MatrixBlock out, AggregateUnaryOperator op, int blen, MatrixIndexes ix)	Recompute outputs (e.g., maxindex or minindex) according to block indexes from MR.
static void	LibMatrixDNN.reluBackward(MatrixBlock input, MatrixBlock dout, MatrixBlock outputBlock, int numThreads)	This method computes the backpropagation errors for previous layer of relu operation
MatrixBlock	MatrixBlock.removeEmptyOperations(MatrixBlock ret, boolean rows, boolean emptyReturn)
MatrixBlock	MatrixBlock.removeEmptyOperations(MatrixBlock ret, boolean rows, boolean emptyReturn, MatrixBlock select)
static MatrixBlock	LibMatrixReorg.reorg(MatrixBlock in, MatrixBlock out, ReorgOperator op)
static MatrixBlock	LibMatrixReorg.reorgInPlace(MatrixBlock in, ReorgOperator op)
static MatrixBlock	LibMatrixReplace.replaceOperations(MatrixBlock in, MatrixBlock ret, double pattern, double replacement)
static MatrixBlock	LibMatrixReplace.replaceOperations(MatrixBlock in, MatrixBlock ret, double pattern, double replacement, int k)
static void	LibMatrixOuterAgg.resetOutputMatrix(MatrixIndexes in1Ix, MatrixBlock in1Val, MatrixIndexes outIx, MatrixBlock outVal, AggregateUnaryOperator uaggOp)	ReSet output matrix
static MatrixBlock	LibMatrixReorg.reshape(MatrixBlock in, int rows, int cols, boolean rowwise)	CP reshape operation (single input, single output matrix) NOTE: In contrast to R, the rowwise parameter specifies both the read and write order, with row-wise being the default, while R uses always a column-wise read, rowwise specifying the write order and column-wise being the default.
static MatrixBlock	LibMatrixReorg.reshape(MatrixBlock in, MatrixBlock out, int rows, int cols, boolean rowwise)	CP reshape operation (single input, single output matrix) NOTE: In contrast to R, the rowwise parameter specifies both the read and write order, with row-wise being the default, while R uses always a column-wise read, rowwise specifying the write order and column-wise being the default.
static MatrixBlock	LibMatrixReorg.reshape(MatrixBlock in, MatrixBlock out, int rows, int cols, boolean rowwise, int k)	CP reshape operation (single input, single output matrix) NOTE: In contrast to R, the rowwise parameter specifies both the read and write order, with row-wise being the default, while R uses always a column-wise read, rowwise specifying the write order and column-wise being the default.
static MatrixBlock	LibMatrixReorg.rev(MatrixBlock in, MatrixBlock out)
static MatrixBlock	LibMatrixReorg.rexpand(MatrixBlock in, MatrixBlock ret, double max, boolean rows, boolean cast, boolean ignore, int k)	CP rexpand operation (single input, single output), the classic example of this operation is one hot encoding of a column to multiple columns.
static MatrixBlock	LibMatrixReorg.rexpand(MatrixBlock in, MatrixBlock ret, int max, boolean rows, boolean cast, boolean ignore, int k)	CP rexpand operation (single input, single output), the classic example of this operation is one hot encoding of a column to multiple columns.
MatrixBlock	MatrixBlock.rexpandOperations(MatrixBlock ret, double max, boolean rows, boolean cast, boolean ignore, int k)
static MatrixBlock	LibMatrixReorg.rmempty(MatrixBlock in, MatrixBlock ret, boolean rows, boolean emptyReturn, MatrixBlock select)	CP rmempty operation (single input, single output matrix)
static boolean	LibMatrixAgg.satisfiesMultiThreadingConstraints(MatrixBlock in, int k)
static boolean	LibMatrixAgg.satisfiesMultiThreadingConstraints(MatrixBlock in, MatrixBlock out, AggregateUnaryOperator uaop, int k)
static boolean	LibMatrixMult.satisfiesMultiThreadingConstraints(MatrixBlock m1, boolean checkMem, boolean checkFLOPs, long FPfactor, int k)
static boolean	LibMatrixMult.satisfiesMultiThreadingConstraints(MatrixBlock m1, int k)
static boolean	LibMatrixMult.satisfiesMultiThreadingConstraints(MatrixBlock m1, MatrixBlock m2, boolean checkMem, boolean checkFLOPs, long FPfactor, int k)
MatrixBlock	MatrixBlock.slice(int rl, int ru, int cl, int cu, boolean deep, MatrixBlock ret)
MatrixBlock	MatrixBlock.slice(int rl, int ru, int cl, int cu, MatrixBlock ret)
MatrixBlock	MatrixBlock.slice(IndexRange ixrange, MatrixBlock ret)
static MatrixBlock	LibMatrixReorg.sort(MatrixBlock in, MatrixBlock out, int[] by, boolean desc, boolean ixret)
static MatrixBlock	LibMatrixReorg.sort(MatrixBlock in, MatrixBlock out, int[] by, boolean desc, boolean ixret, int k)
MatrixBlock	MatrixBlock.sortOperations(MatrixValue weights, MatrixBlock result)
MatrixBlock	MatrixBlock.sortOperations(MatrixValue weights, MatrixBlock result, int k)
static void	LibMatrixSparseToDense.sparseToDense(MatrixBlock r, int k)	Convert the given matrix block to a Dense allocation.
static MatrixBlock[]	LibMatrixSTFT.stft(MatrixBlock re, int windowSize, int overlap, int threads)	Function to perform STFT on a given matrices with windowSize and overlap.
static MatrixBlock[]	LibMatrixSTFT.stft(MatrixBlock re, MatrixBlock im, int windowSize, int overlap, int threads)	Function to perform STFT on two given matrices with windowSize and overlap.
static void	LibMatrixTercell.tercellOp(MatrixBlock m1, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret, TernaryOperator op)
MatrixBlock	MatrixBlock.ternaryOperations(TernaryOperator op, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in, int k)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in, int k, boolean allowCSR)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in, MatrixBlock out)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in, MatrixBlock out, int k)
static MatrixBlock	LibMatrixReorg.transpose(MatrixBlock in, MatrixBlock out, int k, boolean allowCSR)
static MatrixBlock	LibMatrixReorg.transposeInPlace(MatrixBlock in, int k)
MatrixBlock	MatrixBlock.transposeSelfMatrixMultOperations(MatrixBlock out, MMTSJ.MMTSJType tstype)
MatrixBlock	MatrixBlock.transposeSelfMatrixMultOperations(MatrixBlock out, MMTSJ.MMTSJType tstype, int k)
static void	LibMatrixNative.tsmm(MatrixBlock m1, MatrixBlock ret, boolean leftTrans, int k)
MatrixBlock	MatrixBlock.uaggouterchainOperations(MatrixBlock mbLeft, MatrixBlock mbRight, MatrixBlock mbOut, BinaryOperator bOp, AggregateUnaryOperator uaggOp)
static MatrixBlock	LibCommonsMath.unaryOperations(MatrixBlock inj, String opcode)
static MatrixBlock	LibMatrixBincell.uncellOp(MatrixBlock m1, MatrixBlock ret, UnaryOperator op)

Method parameters in org.apache.sysds.runtime.matrix.data with type arguments of type MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	MatrixBlock.append(List<MatrixBlock> that, MatrixBlock ret, boolean cbind, int k)

Constructors in org.apache.sysds.runtime.matrix.data with parameters of type MatrixBlock

Constructor	Description
DnnParameters(int N, int D, int T, int M, MatrixBlock x, MatrixBlock w, MatrixBlock bias, MatrixBlock out0, MatrixBlock c0, boolean return_sequences, int numThreads)
DnnParameters(int n, int d, int t, int m, MatrixBlock x, MatrixBlock w, MatrixBlock bias, MatrixBlock out0, MatrixBlock c0, MatrixBlock cache_out, MatrixBlock cache_c, MatrixBlock cache_ifog, boolean return_sequences, MatrixBlock dout, MatrixBlock dc, MatrixBlock dx, MatrixBlock dw, MatrixBlock db, MatrixBlock dout0, MatrixBlock dc0, int numThreads)
MatrixBlock(MatrixBlock that)
MatrixBlock(MatrixBlock that, boolean sp)
MatrixBlock(MatrixBlock that, SparseBlock.Type stype, boolean deep)

Uses of MatrixBlock in org.apache.sysds.runtime.matrix.data.sketch

Methods in org.apache.sysds.runtime.matrix.data.sketch that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	MatrixSketch.getValue(MatrixBlock blkIn)	Get scalar distinct count from an input matrix block.
MatrixBlock	MatrixSketch.getValueFromSketch(CorrMatrixBlock blkIn)	Obtain matrix distinct count value from estimation Used for estimating distinct in rows or columns.

Methods in org.apache.sysds.runtime.matrix.data.sketch with parameters of type MatrixBlock

Modifier and Type	Method	Description
CorrMatrixBlock	MatrixSketch.create(MatrixBlock blkIn)	Create an initial sketch of a given block.
MatrixBlock	MatrixSketch.getValue(MatrixBlock blkIn)	Get scalar distinct count from an input matrix block.

Uses of MatrixBlock in org.apache.sysds.runtime.matrix.data.sketch.countdistinct

Methods in org.apache.sysds.runtime.matrix.data.sketch.countdistinct that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	CountDistinctFunctionSketch.getValue(MatrixBlock blkIn)
MatrixBlock	CountDistinctFunctionSketch.getValueFromSketch(CorrMatrixBlock blkIn)

Methods in org.apache.sysds.runtime.matrix.data.sketch.countdistinct with parameters of type MatrixBlock

Modifier and Type	Method	Description
CorrMatrixBlock	CountDistinctFunctionSketch.create(MatrixBlock blkIn)
MatrixBlock	CountDistinctFunctionSketch.getValue(MatrixBlock blkIn)

Uses of MatrixBlock in org.apache.sysds.runtime.matrix.data.sketch.countdistinctapprox

Methods in org.apache.sysds.runtime.matrix.data.sketch.countdistinctapprox that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	KMVSketch.getValue(MatrixBlock blkIn)
MatrixBlock	KMVSketch.getValueFromSketch(CorrMatrixBlock arg0)

Methods in org.apache.sysds.runtime.matrix.data.sketch.countdistinctapprox with parameters of type MatrixBlock

Modifier and Type	Method	Description
CorrMatrixBlock	KMVSketch.create(MatrixBlock blkIn)
MatrixBlock	KMVSketch.getValue(MatrixBlock blkIn)

Uses of MatrixBlock in org.apache.sysds.runtime.matrix.operators

Methods in org.apache.sysds.runtime.matrix.operators with parameters of type MatrixBlock

Modifier and Type	Method	Description
boolean	BinaryOperator.isIntroducingZerosLeft(MatrixBlock row)	Check if the operation returns zeros if the input is contained in row.
boolean	BinaryOperator.isIntroducingZerosRight(MatrixBlock row)	Check if the operation returns zeros if the input is contained in row.
boolean	BinaryOperator.isRowSafeLeft(MatrixBlock row)	Check if the operation returns zeros if the input zero.
boolean	BinaryOperator.isRowSafeRight(MatrixBlock row)	Check if the operation returns zeros if the input zero.

Uses of MatrixBlock in org.apache.sysds.runtime.transform.decode

Methods in org.apache.sysds.runtime.transform.decode with parameters of type MatrixBlock

Modifier and Type	Method	Description
abstract FrameBlock	Decoder.decode(MatrixBlock in, FrameBlock out)	Block decode API converting a matrix block into a frame block.
FrameBlock	Decoder.decode(MatrixBlock in, FrameBlock out, int k)	Block decode API converting a matrix block into a frame block in parallel.
abstract void	Decoder.decode(MatrixBlock in, FrameBlock out, int rl, int ru)	Block decode row block
FrameBlock	DecoderBin.decode(MatrixBlock in, FrameBlock out)
void	DecoderBin.decode(MatrixBlock in, FrameBlock out, int rl, int ru)
FrameBlock	DecoderComposite.decode(MatrixBlock in, FrameBlock out)
FrameBlock	DecoderComposite.decode(MatrixBlock in, FrameBlock out, int k)
void	DecoderComposite.decode(MatrixBlock in, FrameBlock out, int rl, int ru)
FrameBlock	DecoderDummycode.decode(MatrixBlock in, FrameBlock out)
void	DecoderDummycode.decode(MatrixBlock in, FrameBlock out, int rl, int ru)
FrameBlock	DecoderPassThrough.decode(MatrixBlock in, FrameBlock out)
void	DecoderPassThrough.decode(MatrixBlock in, FrameBlock out, int rl, int ru)
FrameBlock	DecoderRecode.decode(MatrixBlock in, FrameBlock out)
void	DecoderRecode.decode(MatrixBlock in, FrameBlock out, int rl, int ru)

Uses of MatrixBlock in org.apache.sysds.runtime.transform.encode

Methods in org.apache.sysds.runtime.transform.encode that return MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	ColumnEncoder.apply(CacheBlock<?> in, MatrixBlock out, int outputCol)	Apply Functions are only used in Single Threaded or Multi-Threaded Dense context.
MatrixBlock	ColumnEncoder.apply(CacheBlock<?> in, MatrixBlock out, int outputCol, int rowStart, int blk)
MatrixBlock	ColumnEncoderComposite.apply(CacheBlock<?> in, MatrixBlock out, int outputCol, int rowStart, int blk)
MatrixBlock	Encoder.apply(CacheBlock<?> in, MatrixBlock out, int outputCol)	Apply the generated metadata to the FrameBlock and saved the result in out.
MatrixBlock	EncoderMVImpute.apply(FrameBlock in, MatrixBlock out)
MatrixBlock	EncoderOmit.apply(FrameBlock in, MatrixBlock out)
abstract MatrixBlock	LegacyEncoder.apply(FrameBlock in, MatrixBlock out)	Encode input data blockwise according to existing transform meta data (transform apply).
MatrixBlock	MultiColumnEncoder.apply(CacheBlock<?> in)
MatrixBlock	MultiColumnEncoder.apply(CacheBlock<?> in, int k)
MatrixBlock	MultiColumnEncoder.apply(CacheBlock<?> in, MatrixBlock out, int outputCol)
MatrixBlock	MultiColumnEncoder.apply(CacheBlock<?> in, MatrixBlock out, int outputCol, int k)
static MatrixBlock	CompressedEncode.encode(MultiColumnEncoder enc, FrameBlock in, int k)
MatrixBlock	EncoderMVImpute.encode(FrameBlock in, MatrixBlock out)
MatrixBlock	EncoderOmit.encode(FrameBlock in, MatrixBlock out)
abstract MatrixBlock	LegacyEncoder.encode(FrameBlock in, MatrixBlock out)	Block encode: build and apply (transform encode).
MatrixBlock	MultiColumnEncoder.encode(CacheBlock<?> in)
MatrixBlock	MultiColumnEncoder.encode(CacheBlock<?> in, boolean compressedOut)
MatrixBlock	MultiColumnEncoder.encode(CacheBlock<?> in, int k)
MatrixBlock	MultiColumnEncoder.encode(CacheBlock<?> in, int k, boolean compressedOut)
MatrixBlock	ColumnEncoder.getColMapping(FrameBlock meta)	Obtain the column mapping of encoded frames based on the passed meta data frame.
MatrixBlock	LegacyEncoder.getColMapping(FrameBlock meta, MatrixBlock out)	Obtain the column mapping of encoded frames based on the passed meta data frame.
MatrixBlock	MultiColumnEncoder.getColMapping(FrameBlock meta)	Obtain the column mapping of encoded frames based on the passed meta data frame.

Methods in org.apache.sysds.runtime.transform.encode with parameters of type MatrixBlock

Modifier and Type	Method	Description
MatrixBlock	ColumnEncoder.apply(CacheBlock<?> in, MatrixBlock out, int outputCol)	Apply Functions are only used in Single Threaded or Multi-Threaded Dense context.
MatrixBlock	ColumnEncoder.apply(CacheBlock<?> in, MatrixBlock out, int outputCol, int rowStart, int blk)
MatrixBlock	ColumnEncoderComposite.apply(CacheBlock<?> in, MatrixBlock out, int outputCol, int rowStart, int blk)
MatrixBlock	Encoder.apply(CacheBlock<?> in, MatrixBlock out, int outputCol)	Apply the generated metadata to the FrameBlock and saved the result in out.
MatrixBlock	EncoderMVImpute.apply(FrameBlock in, MatrixBlock out)
MatrixBlock	EncoderOmit.apply(FrameBlock in, MatrixBlock out)
abstract MatrixBlock	LegacyEncoder.apply(FrameBlock in, MatrixBlock out)	Encode input data blockwise according to existing transform meta data (transform apply).
MatrixBlock	MultiColumnEncoder.apply(CacheBlock<?> in, MatrixBlock out, int outputCol)
MatrixBlock	MultiColumnEncoder.apply(CacheBlock<?> in, MatrixBlock out, int outputCol, int k)
void	ColumnEncoderUDF.applyDense(CacheBlock<?> in, MatrixBlock out, int outputCol, int rowStart, int blk)
void	ColumnEncoderWordEmbedding.applyDense(CacheBlock<?> in, MatrixBlock out, int outputCol, int rowStart, int blk)
static MultiColumnEncoder	EncoderFactory.createEncoder(String spec, String[] colnames, int clen, FrameBlock meta, MatrixBlock embeddings)
static MultiColumnEncoder	EncoderFactory.createEncoder(String spec, String[] colnames, int clen, FrameBlock meta, MatrixBlock embeddings, int minCol, int maxCol)
static MultiColumnEncoder	EncoderFactory.createEncoder(String spec, String[] colnames, Types.ValueType[] schema, int clen, FrameBlock meta, MatrixBlock embeddings)
static MultiColumnEncoder	EncoderFactory.createEncoder(String spec, String[] colnames, Types.ValueType[] schema, FrameBlock meta, MatrixBlock embeddings)
MatrixBlock	EncoderMVImpute.encode(FrameBlock in, MatrixBlock out)
MatrixBlock	EncoderOmit.encode(FrameBlock in, MatrixBlock out)
abstract MatrixBlock	LegacyEncoder.encode(FrameBlock in, MatrixBlock out)	Block encode: build and apply (transform encode).
List<DependencyTask<?>>	ColumnEncoder.getApplyTasks(CacheBlock<?> in, MatrixBlock out, int outputCol)
List<DependencyTask<?>>	ColumnEncoderComposite.getApplyTasks(CacheBlock<?> in, MatrixBlock out, int outputCol)
MatrixBlock	LegacyEncoder.getColMapping(FrameBlock meta, MatrixBlock out)	Obtain the column mapping of encoded frames based on the passed meta data frame.
void	ColumnEncoder.initEmbeddings(MatrixBlock embeddings)
void	ColumnEncoderComposite.initEmbeddings(MatrixBlock embeddings)
void	ColumnEncoderWordEmbedding.initEmbeddings(MatrixBlock embeddings)
void	MultiColumnEncoder.initEmbeddings(MatrixBlock embeddings)

Constructors in org.apache.sysds.runtime.transform.encode with parameters of type MatrixBlock

Constructor	Description
FeatureHashSparseApplyTask(ColumnEncoderFeatureHash encoder, CacheBlock<?> input, MatrixBlock out, int outputCol)
FeatureHashSparseApplyTask(ColumnEncoderFeatureHash encoder, CacheBlock<?> input, MatrixBlock out, int outputCol, int startRow, int blk)

Uses of MatrixBlock in org.apache.sysds.runtime.util

Methods in org.apache.sysds.runtime.util that return MatrixBlock

Modifier and Type	Method	Description
static MatrixBlock	Py4jConverterUtils.allocateDenseOrSparse(int rlen, int clen, boolean isSparse)
static MatrixBlock	Py4jConverterUtils.allocateDenseOrSparse(long rlen, long clen, boolean isSparse)
static MatrixBlock	Py4jConverterUtils.convertPy4JArrayToMB(byte[] data, int rlen, int clen)
static MatrixBlock	Py4jConverterUtils.convertPy4JArrayToMB(byte[] data, int rlen, int clen, boolean isSparse, Types.ValueType valueType)
static MatrixBlock	Py4jConverterUtils.convertPy4JArrayToMB(byte[] data, int rlen, int clen, Types.ValueType valueType)
static MatrixBlock	Py4jConverterUtils.convertSciPyCOOToMB(byte[] data, byte[] row, byte[] col, int rlen, int clen, int nnz)
static MatrixBlock	DataConverter.convertToMatrixBlock(double[][] data)	Creates a dense Matrix Block and copies the given double matrix into it.
static MatrixBlock	DataConverter.convertToMatrixBlock(double[] data, boolean columnVector)	Creates a dense Matrix Block and copies the given double vector into it.
static MatrixBlock	DataConverter.convertToMatrixBlock(int[][] data)	Converts an Integer matrix to an MatrixBlock
static MatrixBlock	DataConverter.convertToMatrixBlock(HashMap<MatrixIndexes,Double> map)
static MatrixBlock	DataConverter.convertToMatrixBlock(HashMap<MatrixIndexes,Double> map, int rlen, int clen)	NOTE: this method also ensures the specified matrix dimensions
static MatrixBlock	DataConverter.convertToMatrixBlock(org.apache.commons.math3.linear.RealMatrix rm)
static MatrixBlock	DataConverter.convertToMatrixBlock(FrameBlock frame)	Converts a frame block with arbitrary schema into a matrix block.
static MatrixBlock	DataConverter.convertToMatrixBlock(CTableMap map)
static MatrixBlock	DataConverter.convertToMatrixBlock(CTableMap map, int rlen, int clen)	NOTE: this method also ensures the specified matrix dimensions
static MatrixBlock[]	DataConverter.convertToMatrixBlockPartitions(MatrixBlock mb, boolean colwise)
static MatrixBlock	LocalFileUtils.readMatrixBlockFromLocal(String fname)	Reads a matrix block from local file system.
static MatrixBlock	LocalFileUtils.readMatrixBlockFromLocal(String fname, MatrixBlock reuse)	Reads a matrix block from local file system.
static MatrixBlock	LocalFileUtils.readMatrixBlockFromStream(InputStream is)	Reads a matrix block from an input stream, using a fused buffered reader with special support for matrix blocks.
static MatrixBlock	DataConverter.readMatrixFromHDFS(String dir, Types.FileFormat fmt, long rlen, long clen, int blen)
static MatrixBlock	DataConverter.readMatrixFromHDFS(String dir, Types.FileFormat fmt, long rlen, long clen, int blen, long expectedNnz)
static MatrixBlock	DataConverter.readMatrixFromHDFS(String dir, Types.FileFormat fmt, long rlen, long clen, int blen, long expectedNnz, FileFormatProperties formatProperties)
static MatrixBlock	DataConverter.readMatrixFromHDFS(ReadProperties prop)	Core method for reading matrices in format textcell, matrixmarket, binarycell, or binaryblock from HDFS into main memory.

Methods in org.apache.sysds.runtime.util with parameters of type MatrixBlock

Modifier and Type	Method	Description
static byte[]	Py4jConverterUtils.convertMBtoPy4JDenseArr(MatrixBlock mb)
static org.apache.commons.math3.linear.Array2DRowRealMatrix	DataConverter.convertToArray2DRowRealMatrix(MatrixBlock mb)	Helper method that converts SystemDS matrix variable (varname) into a Array2DRowRealMatrix format, which is useful in invoking Apache CommonsMath.
static org.apache.commons.math3.linear.BlockRealMatrix	DataConverter.convertToBlockRealMatrix(MatrixBlock mb)
static boolean[]	DataConverter.convertToBooleanVector(MatrixBlock mb)
static DenseBlock	DataConverter.convertToDenseBlock(MatrixBlock mb)
static DenseBlock	DataConverter.convertToDenseBlock(MatrixBlock mb, boolean deep)
static List<Double>	DataConverter.convertToDoubleList(MatrixBlock mb)
static double[][]	DataConverter.convertToDoubleMatrix(MatrixBlock mb)	Creates a two-dimensional double matrix of the input matrix block.
static double[]	DataConverter.convertToDoubleVector(MatrixBlock mb)
static double[]	DataConverter.convertToDoubleVector(MatrixBlock mb, boolean deep)
static double[]	DataConverter.convertToDoubleVector(MatrixBlock mb, boolean deep, boolean allowNull)
static FrameBlock	DataConverter.convertToFrameBlock(MatrixBlock mb)	Converts a matrix block into a frame block of value type double.
static FrameBlock	DataConverter.convertToFrameBlock(MatrixBlock mb, int k)	Converts a matrix block into a frame block of value type double.
static FrameBlock	DataConverter.convertToFrameBlock(MatrixBlock mb, Types.ValueType vt)	Converts a matrix block into a frame block of value type given.
static FrameBlock	DataConverter.convertToFrameBlock(MatrixBlock mb, Types.ValueType[] schema)	Converts a matrix block into a frame block of with the given schema
static FrameBlock	DataConverter.convertToFrameBlock(MatrixBlock mb, Types.ValueType[] schema, int k)	Converts a matrix block into a frame block of with the given schema
static FrameBlock	DataConverter.convertToFrameBlock(MatrixBlock mb, Types.ValueType vt, int k)	Converts a matrix block into a frame block of a given value type.
static int[]	DataConverter.convertToIntVector(MatrixBlock mb)
static long[]	DataConverter.convertToLongVector(MatrixBlock mb)
static MatrixBlock[]	DataConverter.convertToMatrixBlockPartitions(MatrixBlock mb, boolean colwise)
static TensorBlock	DataConverter.convertToTensorBlock(MatrixBlock mb, Types.ValueType vt, boolean toBasicTensor)
static int[]	DataConverter.convertVectorToIndexList(MatrixBlock mb)
static void	DataConverter.copyToDoubleVector(MatrixBlock mb, double[] dest, int destPos)
static void	DnnUtils.fillBias(MatrixBlock bias, double[] outputArray, int src_rl, int src_ru, int N, int K, int PQ)
static boolean	SortUtils.isSorted(MatrixBlock in)
static MatrixBlock	LocalFileUtils.readMatrixBlockFromLocal(String fname, MatrixBlock reuse)	Reads a matrix block from local file system.
static String	DataConverter.toString(MatrixBlock mb)
static String	DataConverter.toString(MatrixBlock mb, boolean sparse, String separator, String lineseparator, int rowsToPrint, int colsToPrint, int decimal)	Returns a string representation of a matrix
static void	LocalFileUtils.writeMatrixBlockToLocal(String fname, MatrixBlock mb)	Writes a matrix block to local file system.
static void	DataConverter.writeMatrixToHDFS(MatrixBlock mat, String dir, Types.FileFormat fmt, DataCharacteristics dc)
static void	DataConverter.writeMatrixToHDFS(MatrixBlock mat, String dir, Types.FileFormat fmt, DataCharacteristics dc, int replication, FileFormatProperties formatProperties)
static void	DataConverter.writeMatrixToHDFS(MatrixBlock mat, String dir, Types.FileFormat fmt, DataCharacteristics dc, int replication, FileFormatProperties formatProperties, boolean diag)