Uses of Class org.apache.sysds.runtime.matrix.data.MatrixBlock (Apache SystemDS 3.1.0 API)

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.offset
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.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.gpu.context
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.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.privacy.propagation
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.`aggregateTernaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret, AggregateTernaryOperator op, boolean inCP)`
`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)`
`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.`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, boolean complementary)`

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.`aggregateTernaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret, AggregateTernaryOperator op, boolean inCP)`
`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)`
`void`	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)`
`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 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)`
`static void`	DictLibMatrixMult.`MMDicts(ADictionary left, ADictionary 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
`static void`	DictLibMatrixMult.`MMDictsWithScaling(ADictionary left, ADictionary right, IColIndex leftRows, IColIndex rightColumns, MatrixBlock result, int[] counts)`	Matrix multiply with scaling (left side transposed)
`static void`	DictLibMatrixMult.`TSMMDictionaryWithScaling(ADictionary dict, int[] counts, IColIndex rows, IColIndex cols, MatrixBlock ret)`	Perform the full tsmm with the dictionary (allocating into the entire output matrix.)
`static void`	DictLibMatrixMult.`TSMMToUpperTriangle(ADictionary left, ADictionary right, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)`	Does two matrix multiplications in one go but only add to the upper triangle.
`static void`	DictLibMatrixMult.`TSMMToUpperTriangleScaling(ADictionary left, ADictionary 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.

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.
`void`	AMapToData.`preAggregateDense(MatrixBlock m, double[] preAV, int rl, int ru, int cl, int cu, AOffset indexes)`	PreAggregate a Dense Matrix at index offsets.

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

Methods in org.apache.sysds.runtime.compress.colgroup.offset with parameters of type MatrixBlock
Modifier and Type	Method	Description
`void`	AOffset.`preAggregateDenseMap(MatrixBlock m, double[] preAV, int rl, int ru, int cl, int cu, int nVal, AMapToData data)`

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`	ConstScheme.`encode(MatrixBlock data)`
`AColGroup`	ConstScheme.`encode(MatrixBlock data, IColIndex columns)`
`AColGroup`	DDCScheme.`encode(MatrixBlock data)`
`AColGroup`	DDCScheme.`encode(MatrixBlock data, IColIndex columns)`
`AColGroup`	EmptyScheme.`encode(MatrixBlock data)`
`AColGroup`	EmptyScheme.`encode(MatrixBlock data, IColIndex columns)`
`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.

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)`
`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 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`	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`	CLALibCombine.`combine(Map<MatrixIndexes,MatrixBlock> m, int k)`
`static MatrixBlock`	CLALibCombine.`combine(Map<MatrixIndexes,MatrixBlock> m, int rlen, int clen, int blen, int k)`
`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`	CLALibMMChain.`mmChain(CompressedMatrixBlock x, MatrixBlock v, MatrixBlock w, MatrixBlock out, MapMultChain.ChainType ctype, int k)`
`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`	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 List<MatrixBlock>`	CLALibSlice.`sliceBlocks(CompressedMatrixBlock cmb, int blen)`	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`	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 void`	CLALibDecompress.`decompressTo(CompressedMatrixBlock cmb, MatrixBlock ret, int rowOffset, int colOffset, 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 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`	CLALibMMChain.`mmChain(CompressedMatrixBlock x, MatrixBlock v, MatrixBlock w, MatrixBlock out, MapMultChain.ChainType ctype, int k)`
`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)`

Method parameters in org.apache.sysds.runtime.compress.lib with type arguments of type MatrixBlock
Modifier and Type	Method	Description
`static MatrixBlock`	CLALibCombine.`combine(Map<MatrixIndexes,MatrixBlock> m, int k)`
`static MatrixBlock`	CLALibCombine.`combine(Map<MatrixIndexes,MatrixBlock> m, int rlen, int clen, int blen, int k)`

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
`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)`

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)`
`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)`	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.gpu.context

Methods in org.apache.sysds.runtime.instructions.gpu.context that return MatrixBlock
Modifier and Type	Method	Description
`MatrixBlock`	GPUObject.`evictFromDeviceToHostMB(String instName, boolean eagerDelete)`

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<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<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
`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 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<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)`
`void`	ReaderTextCellParallel.CellBuffer.`flushCellBufferToMatrixBlock(MatrixBlock dest)`
`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()`
`MatrixBlock`	MatrixGenerateReader.`readMatrixFromHDFS(String fname, long rlen, long clen, int blen, long estnnz)`
`MatrixBlock`	MatrixGenerateReader.`readMatrixFromInputStream(InputStream is, long rlen, long clen, int blen, long estnnz)`

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
`GenerateReaderMatrix(String sampleRaw, MatrixBlock sampleMatrix)`
`MatrixReaderMapping(String raw, MatrixBlock matrix)`
`SampleProperties(String sampleRaw, MatrixBlock sampleMatrix)`

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.`output`

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)`
`MatrixBlock`	MatrixBlock.`aggregateTernaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret, AggregateTernaryOperator op, boolean inCP)`
`MatrixBlock`	MatrixBlock.`aggregateUnaryOperations(AggregateUnaryOperator op, MatrixValue result, int blen, MatrixIndexes indexesIn)`
`MatrixBlock`	MatrixBlock.`aggregateUnaryOperations(AggregateUnaryOperator op, MatrixValue result, int blen, MatrixIndexes indexesIn, boolean inCP)`
`MatrixBlock`	MatrixBlock.`allocateBlock()`
`MatrixBlock`	MatrixBlock.`allocateDenseBlock()`
`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.`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
`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.`colMin()`	Wrapper method for reduceall-colMin of a matrix.
`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`	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)`
`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.
`static MatrixBlock[]`	LibCommonsMath.`multiReturnOperations(MatrixBlock in, String opcode)`
`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`	MatrixBlock.`naryOperations(Operator op, MatrixBlock[] matrices, ScalarObject[] scalars, MatrixBlock ret)`
`MatrixBlock`	MatrixBlock.`pickValues(MatrixValue quantiles, MatrixValue ret)`
`MatrixBlock`	MatrixBlock.`prepareAggregateUnaryOutput(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, 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.`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)`
`MatrixBlock`	MatrixBlock.`replaceOperations(MatrixValue result, double pattern, double replacement)`
`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.`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)`
`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, 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, MatrixValue result)`
`static MatrixBlock`	LibMatrixBincell.`uncellOp(MatrixBlock m1, MatrixBlock ret, UnaryOperator op)`
`MatrixBlock`	MatrixBlock.`zeroOutOperations(MatrixValue result, IndexRange range, boolean complementary)`

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)`
`MatrixBlock`	MatrixBlock.`aggregateTernaryOperations(MatrixBlock m1, MatrixBlock m2, MatrixBlock m3, MatrixBlock ret, AggregateTernaryOperator op, boolean inCP)`
`static void`	LibMatrixAgg.`aggregateUnaryMatrix(MatrixBlock in, MatrixBlock out, AggregateUnaryOperator uaop)`
`static void`	LibMatrixAgg.`aggregateUnaryMatrix(MatrixBlock in, MatrixBlock out, AggregateUnaryOperator uaop, 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=HoutWout) output = input + matrix(bias %% ones, rows=1, cols=FHoutWout) 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=HoutWout) output = input matrix(bias %% ones, rows=1, cols=FHout*Wout) This operation is often followed by conv2d and hence we have introduced bias_multiply(input, bias) built-in function
`static void`	LibMatrixBincell.`bincellOp(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, BinaryOperator op)`	matrix-matrix binary operations, MM, MV
`static void`	LibMatrixBincell.`bincellOp(MatrixBlock m1, MatrixBlock m2, MatrixBlock ret, BinaryOperator op, int k)`
`static void`	LibMatrixBincell.`bincellOp(MatrixBlock m1, MatrixBlock ret, ScalarOperator op)`	matrix-scalar, scalar-matrix binary operations.
`static void`	LibMatrixBincell.`bincellOp(MatrixBlock m1, MatrixBlock ret, ScalarOperator 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
`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)`
`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)`	Used for all version of TSMM where the result is known to be symmetric.
`static 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 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 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 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`	LibMatrixBincell.`isAllDense(MatrixBlock... mb)`
`static boolean`	LibMatrixMult.`isSparseOutputMatrixMult(MatrixBlock m1, MatrixBlock m2)`
`static boolean`	LibMatrixBincell.`isSparseSafeDivide(BinaryOperator op, MatrixBlock rhs)`
`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 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)`
`void`	MatrixBlock.`merge(MatrixBlock that, boolean appendOnly)`	Merge disjoint: merges all non-zero values of the given input into the current matrix block.
`void`	MatrixBlock.`merge(MatrixBlock that, boolean appendOnly, boolean par)`
`void`	MatrixBlock.`merge(MatrixBlock that, boolean appendOnly, boolean par, boolean deep)`
`static MatrixBlock[]`	LibCommonsMath.`multiReturnOperations(MatrixBlock in, String opcode)`
`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`	MatrixBlock.`naryOperations(Operator op, MatrixBlock[] matrices, ScalarObject[] scalars, MatrixBlock ret)`
`static void`	OperationsOnMatrixValues.`performCtable(MatrixIndexes indexesIn1, MatrixValue valueIn1, double scalarIn2, boolean left, int blen, CTableMap resultMap, MatrixBlock resultBlock, Operator op)`
`static void`	OperationsOnMatrixValues.`performCtable(MatrixIndexes indexesIn1, MatrixValue valueIn1, double scalarIn2, double scalarIn3, CTableMap resultMap, MatrixBlock resultBlock, Operator op)`
`static void`	OperationsOnMatrixValues.`performCtable(MatrixIndexes indexesIn1, MatrixValue valueIn1, double scalarIn2, MatrixIndexes indexesIn3, MatrixValue valueIn3, CTableMap resultMap, MatrixBlock resultBlock, Operator op)`
`static void`	OperationsOnMatrixValues.`performCtable(MatrixIndexes indexesIn1, MatrixValue valueIn1, MatrixIndexes indexesIn2, MatrixValue valueIn2, double scalarIn3, CTableMap resultMap, MatrixBlock resultBlock, Operator op)`
`static void`	OperationsOnMatrixValues.`performCtable(MatrixIndexes indexesIn1, MatrixValue valueIn1, MatrixIndexes indexesIn2, MatrixValue valueIn2, MatrixIndexes indexesIn3, MatrixValue valueIn3, CTableMap resultMap, MatrixBlock resultBlock, Operator op)`
`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`	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)`
`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 void`	LibMatrixOuterAgg.`resetOutputMatrix(MatrixIndexes in1Ix, MatrixBlock in1Val, MatrixIndexes outIx, MatrixBlock outVal, AggregateUnaryOperator uaggOp)`	ReSet output matrix
`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.`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`	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, 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)`

Constructors in org.apache.sysds.runtime.matrix.data with parameters of type MatrixBlock
Constructor	Description
`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.privacy.propagation

Methods in org.apache.sysds.runtime.privacy.propagation with parameters of type MatrixBlock
Modifier and Type	Method	Description
`void`	AppendPropagator.`setFields(MatrixBlock input1, PrivacyConstraint privacyConstraint1, MatrixBlock input2, PrivacyConstraint privacyConstraint2)`
`void`	MatrixMultiplicationPropagator.`setFields(MatrixBlock input1, PrivacyConstraint privacyConstraint1, MatrixBlock input2, PrivacyConstraint privacyConstraint2)`	Sets all fields of propagator.

Constructors in org.apache.sysds.runtime.privacy.propagation with parameters of type MatrixBlock
Constructor	Description
`AppendPropagator(MatrixBlock input1, PrivacyConstraint privacyConstraint1, MatrixBlock input2, PrivacyConstraint privacyConstraint2)`
`CBindPropagator(MatrixBlock input1, PrivacyConstraint privacyConstraint1, MatrixBlock input2, PrivacyConstraint privacyConstraint2)`
`MatrixMultiplicationPropagator(MatrixBlock input1, PrivacyConstraint privacyConstraint1, MatrixBlock input2, PrivacyConstraint privacyConstraint2)`	Constructs the propagator and initializes the fields used for propagation.
`MatrixMultiplicationPropagatorNaive(MatrixBlock input1, PrivacyConstraint privacyConstraint1, MatrixBlock input2, PrivacyConstraint privacyConstraint2)`
`MatrixMultiplicationPropagatorPrivateFirst(MatrixBlock input1, PrivacyConstraint privacyConstraint1, MatrixBlock input2, PrivacyConstraint privacyConstraint2)`
`RBindPropagator(MatrixBlock input1, PrivacyConstraint privacyConstraint1, MatrixBlock input2, PrivacyConstraint privacyConstraint2)`

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`	DecoderComposite.`decode(MatrixBlock in, FrameBlock out)`
`FrameBlock`	DecoderDummycode.`decode(MatrixBlock in, FrameBlock out)`
`FrameBlock`	DecoderPassThrough.`decode(MatrixBlock in, FrameBlock out)`
`FrameBlock`	DecoderRecode.`decode(MatrixBlock in, FrameBlock out)`

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)`
`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.

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, boolean localFS)`
`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, boolean localFS)`
`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 that return types with arguments of type MatrixBlock
Modifier and Type	Method	Description
`org.apache.hadoop.mapred.RecordReader<MatrixIndexes,MatrixBlock>`	BinaryBlockInputFormat.`getRecordReader(org.apache.hadoop.mapred.InputSplit split, org.apache.hadoop.mapred.JobConf job, org.apache.hadoop.mapred.Reporter reporter)`

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)`
`boolean`	BinaryBlockRecordReader.`next(MatrixIndexes key, MatrixBlock value)`
`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)`

Uses of Classorg.apache.sysds.runtime.matrix.data.MatrixBlock

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Uses of MatrixBlock in org.apache.sysds.runtime.instructions.gpu.context

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

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

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

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

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

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

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

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

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

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

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

Uses of MatrixBlock in org.apache.sysds.runtime.privacy.propagation

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

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

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

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