Uses of Enum Class
org.apache.sysds.common.Types.ValueType

Packages that use Types.ValueType

Package	Description
org.apache.sysds.api
org.apache.sysds.api.jmlc
org.apache.sysds.api.mlcontext
org.apache.sysds.common
org.apache.sysds.hops
org.apache.sysds.hops.codegen
org.apache.sysds.hops.rewrite
org.apache.sysds.lops
org.apache.sysds.parser
org.apache.sysds.runtime.controlprogram
org.apache.sysds.runtime.controlprogram.caching
org.apache.sysds.runtime.controlprogram.context
org.apache.sysds.runtime.data
org.apache.sysds.runtime.frame.data
org.apache.sysds.runtime.frame.data.columns
org.apache.sysds.runtime.frame.data.compress
org.apache.sysds.runtime.frame.data.iterators
org.apache.sysds.runtime.frame.data.lib
org.apache.sysds.runtime.instructions
org.apache.sysds.runtime.instructions.cp
org.apache.sysds.runtime.instructions.spark.data
org.apache.sysds.runtime.instructions.spark.utils
org.apache.sysds.runtime.io
org.apache.sysds.runtime.iogen
org.apache.sysds.runtime.iogen.codegen
org.apache.sysds.runtime.iogen.template
org.apache.sysds.runtime.transform.decode
org.apache.sysds.runtime.transform.encode
org.apache.sysds.runtime.transform.tokenize
org.apache.sysds.runtime.transform.tokenize.applier
org.apache.sysds.runtime.util

Uses of Types.ValueType in org.apache.sysds.api

Methods in org.apache.sysds.api with parameters of type Types.ValueType

Modifier and Type	Method	Description
void	PythonDMLScript.startReadingColFromPipe(int id, FrameBlock fb, int rows, int totalBytes, int col, Types.ValueType type, boolean any)
MatrixBlock	PythonDMLScript.startReadingMbFromPipe(int id, int rlen, int clen, Types.ValueType type)
MatrixBlock	PythonDMLScript.startReadingMbFromPipes(int[] blockSizes, int rlen, int clen, Types.ValueType type)

Uses of Types.ValueType in org.apache.sysds.api.jmlc

Method parameters in org.apache.sysds.api.jmlc with type arguments of type Types.ValueType

Modifier and Type	Method	Description
void	PreparedScript.setFrame(String varname, String[][] frame, List<Types.ValueType> schema)	Binds a frame object to a registered input variable.
void	PreparedScript.setFrame(String varname, String[][] frame, List<Types.ValueType> schema, boolean reuse)	Binds a frame object to a registered input variable.
void	PreparedScript.setFrame(String varname, String[][] frame, List<Types.ValueType> schema, List<String> colnames)	Binds a frame object to a registered input variable.
void	PreparedScript.setFrame(String varname, String[][] frame, List<Types.ValueType> schema, List<String> colnames, boolean reuse)	Binds a frame object to a registered input variable.

Uses of Types.ValueType in org.apache.sysds.api.mlcontext

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

Modifier and Type	Method	Description
List<Types.ValueType>	FrameSchema.getSchema()	Obtain the frame schema

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

Modifier and Type	Method	Description
void	FrameSchema.setSchema(List<Types.ValueType> schema)	Set the frame schema

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

Modifier	Constructor	Description
	FrameSchema(List<Types.ValueType> schema)	Constructor that specifies the schema as a list of ValueType values.

Uses of Types.ValueType in org.apache.sysds.common

Methods in org.apache.sysds.common that return Types.ValueType

Modifier and Type	Method	Description
static Types.ValueType	Types.ValueType.fromExternalString(String value)	Parse an external string representation to the internal Enum ValueTypes supported.
static Types.ValueType	Types.ValueType.getHighestCommonType(Types.ValueType a, Types.ValueType b)	Get the highest common type that both ValueTypes can be contained in.
static Types.ValueType	Types.ValueType.getHighestCommonTypeSafe(Types.ValueType a, Types.ValueType b)	Get the highest common type, where if one inout is UNKNOWN return the other.
static Types.ValueType	Types.ValueType.valueOf(String name)	Returns the enum constant of this class with the specified name.
static Types.ValueType[]	Types.ValueType.values()	Returns an array containing the constants of this enum class, in the order they are declared.

Methods in org.apache.sysds.common with parameters of type Types.ValueType

Modifier and Type	Method	Description
static Types.ValueType	Types.ValueType.getHighestCommonType(Types.ValueType a, Types.ValueType b)	Get the highest common type that both ValueTypes can be contained in.
static Types.ValueType	Types.ValueType.getHighestCommonTypeSafe(Types.ValueType a, Types.ValueType b)	Get the highest common type, where if one inout is UNKNOWN return the other.
static boolean	Types.ValueType.isSameTypeString(Types.ValueType vt1, Types.ValueType vt2)	Given two ValueTypes, would they both print and eternalize similarly.

Uses of Types.ValueType in org.apache.sysds.hops

Methods in org.apache.sysds.hops that return Types.ValueType

Modifier and Type	Method	Description
Types.ValueType	Hop.getValueType()

Methods in org.apache.sysds.hops with parameters of type Types.ValueType

Modifier and Type	Method	Description
static Lop	BinaryOp.constructSPAppendLop(Hop left, Hop right, Types.DataType dt, Types.ValueType vt, boolean cbind, Hop current)
static boolean	OptimizerUtils.isValidCPDimensions(Types.ValueType[] schema, String[] names)	Returns false if schema and names are not properly specified; other true Length to be > 0, and length of both to be equal.
void	Hop.setValueType(Types.ValueType vt)

Constructors in org.apache.sysds.hops with parameters of type Types.ValueType

Modifier	Constructor	Description
	AggBinaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp2 innOp, Types.AggOp outOp, Hop in1, Hop in2)
	AggUnaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.AggOp o, Types.Direction idx, Hop inp)
	BinaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp2 o, Hop inp1, Hop inp2)
	BinaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp2 o, Hop inp1, Hop inp2, boolean outer)
	DataOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOpData dop, String fname, long dim1, long dim2, long nnz, int blen)	READ operation for Matrix w/ dim1, dim2.
	DataOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOpData dop, String fname, long dim1, long dim2, long nnz, MatrixObject.UpdateType update, int blen)
	DataOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOpData dop, HashMap<String,Hop> params)	READ operation for Matrix / SQL operation for tensor This constructor supports expressions in parameters
	DataOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOpData dop, Hop in, HashMap<String,Hop> inputParameters)	WRITE operation for Matrix This constructor supports expression in parameters
	DataOp(String l, Types.DataType dt, Types.ValueType vt, Hop in, Types.OpOpData dop, String fname)
	DnnOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOpDnn o, ArrayList<Hop> inp)	Create a hop from the builtin expression
	Hop(String l, Types.DataType dt, Types.ValueType vt)
	IndexingOp(String l, Types.DataType dt, Types.ValueType vt, Hop inpMatrix, Hop inpRowL, Hop inpRowU, Hop inpColL, Hop inpColU, boolean passedRowsLEU, boolean passedColsLEU)
	LeftIndexingOp(String l, Types.DataType dt, Types.ValueType vt, Hop inpMatrixLeft, Hop inpMatrixRight, Hop inpRowL, Hop inpRowU, Hop inpColL, Hop inpColU, boolean passedRowsLEU, boolean passedColsLEU)
	MultiThreadedHop(String name, Types.DataType dt, Types.ValueType vt)
	NaryOp(String name, Types.DataType dataType, Types.ValueType valueType, Types.OpOpN op, Hop... inputs)	NaryOp constructor.
	ParameterizedBuiltinOp(String l, Types.DataType dt, Types.ValueType vt, Types.ParamBuiltinOp op, LinkedHashMap<String,Hop> inputParameters)	Creates a new HOP for a function call
	QuaternaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp4 o, Hop inX, Hop inU, Hop inV)
	QuaternaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp4 o, Hop inX, Hop inU, Hop inV, boolean flag1, boolean flag2)	Constructor for wsigmoid.
	QuaternaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp4 o, Hop inW, Hop inU, Hop inV, boolean umult, Types.OpOp1 uop, Types.OpOp2 sop)
	QuaternaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp4 o, Hop inX, Hop inU, Hop inV, Hop inW, boolean post)	Constructor for wsloss.
	QuaternaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp4 o, Hop inX, Hop inU, Hop inV, Hop inW, int baseType, boolean flag1, boolean flag2)
	ReorgOp(String l, Types.DataType dt, Types.ValueType vt, Types.ReOrgOp o, List<Hop> inp)
	ReorgOp(String l, Types.DataType dt, Types.ValueType vt, Types.ReOrgOp o, Hop inp)
	TernaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp3 o, Hop inp1, Hop inp2, Hop inp3)
	TernaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp3 o, Hop inp1, Hop inp2, Hop inp3, Hop inp4, Hop inp5, Hop inp6)
	UnaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp1 o, Hop inp)

Uses of Types.ValueType in org.apache.sysds.hops.codegen

Constructors in org.apache.sysds.hops.codegen with parameters of type Types.ValueType

Modifier	Constructor	Description
	SpoofFusedOp(String name, Types.DataType dt, Types.ValueType vt, Class<?> cla, SpoofCompiler.GeneratorAPI api, String genVarName, boolean dist, SpoofFusedOp.SpoofOutputDimsType type)

Uses of Types.ValueType in org.apache.sysds.hops.rewrite

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

Modifier and Type	Method	Description
static Hop	HopRewriteUtils.createDataGenOpByVal(Hop rowInput, Hop colInput, Hop dimsInput, Types.DataType dt, Types.ValueType vt, double value)

Uses of Types.ValueType in org.apache.sysds.lops

Methods in org.apache.sysds.lops that return Types.ValueType

Modifier and Type	Method	Description
Types.ValueType	Lop.getValueType()	get value type of the output that is produced by this lop

Methods in org.apache.sysds.lops with parameters of type Types.ValueType

Modifier and Type	Method	Description
static SortKeys	SortKeys.constructSortByValueLop(Lop input1, Lop input2, SortKeys.OperationTypes op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int numThreads)
static SortKeys	SortKeys.constructSortByValueLop(Lop input1, SortKeys.OperationTypes op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int numThreads)
static Data	Data.createLiteralLop(Types.ValueType vt, String literalValue)	Method to create literal LOPs.
void	Append.init(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt)
void	AppendG.init(Lop input1, Lop input2, Lop input3, Lop input4, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
void	AppendGAlignedSP.init(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt)
void	AppendM.init(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
void	AppendR.init(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
String	Lop.prepOperand(String label, Types.DataType dt, Types.ValueType vt)	Method to prepare instruction operand with given parameters.
String	Lop.prepOperand(String label, Types.DataType dt, Types.ValueType vt, boolean literal)	Method to prepare instruction operand with given parameters.
void	Lop.setValueType(Types.ValueType vt)	set value type of the output that is produced by this lop

Constructors in org.apache.sysds.lops with parameters of type Types.ValueType

Modifier	Constructor	Description
	Append(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, boolean cbind, Types.ExecType et)
	AppendG(Lop input1, Lop input2, Lop input3, Lop input4, Types.DataType dt, Types.ValueType vt, boolean cbind, Types.ExecType et)
	AppendGAlignedSP(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, boolean cbind)
	AppendM(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, boolean cbind, boolean partitioned, Types.ExecType et)
	AppendR(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, boolean cbind, Types.ExecType et)
	Binary(Lop input1, Lop input2, Types.OpOp2 op, Types.DataType dt, Types.ValueType vt, Types.ExecType et)	Constructor to perform a binary operation.
	Binary(Lop input1, Lop input2, Types.OpOp2 op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)
	Binary(Lop input1, Lop input2, Types.OpOp2 op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k, boolean inplace)
	BinaryM(Lop input1, Lop input2, Types.OpOp2 op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, boolean colVector)	Constructor to perform a binary operation.
	BinaryScalar(Lop input1, Lop input2, Types.OpOp2 op, Types.DataType dt, Types.ValueType vt)	Constructor to perform a scalar operation
	BinaryUAggChain(Lop input1, Types.OpOp2 bop, Types.AggOp uaop, Types.Direction uadir, Types.DataType dt, Types.ValueType vt, Types.ExecType et)	Constructor to setup a map mult chain without weights
	CentralMoment(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, int numThreads, Types.ExecType et)
	CentralMoment(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, int numThreads, Types.ExecType et)
	Checkpoint(Lop input, Types.DataType dt, Types.ValueType vt, String level)
	Checkpoint(Lop input, Types.DataType dt, Types.ValueType vt, String level, boolean isAsync)	TODO change string parameter storage.level to StorageLevel as soon as we can assume that Spark libraries are always available.
	Compression(Lop input, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int singletonLookupKey, int numThreads)
	CoVariance(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, int numThreads, Types.ExecType et)
	CoVariance(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, int numThreads, Types.ExecType et)
	CSVReBlock(Lop input, int blen, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
	Ctable(Lop[] inputLops, Ctable.OperationTypes op, Types.DataType dt, Types.ValueType vt, boolean ignoreZeros, boolean outputEmptyBlocks, Types.ExecType et, int k)
	Ctable(Lop[] inputLops, Ctable.OperationTypes op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)
	CumulativeOffsetBinary(Lop data, Lop offsets, Types.DataType dt, Types.ValueType vt, double init, boolean broadcast, Types.AggOp op, Types.ExecType et)
	CumulativeOffsetBinary(Lop data, Lop offsets, Types.DataType dt, Types.ValueType vt, Types.AggOp op, Types.ExecType et)
	CumulativePartialAggregate(Lop input, Types.DataType dt, Types.ValueType vt, Types.AggOp op, Types.ExecType et)
	Data(Types.OpOpData op, Lop input, HashMap<String,Lop> inputParametersLops, String name, String literal, Types.DataType dt, Types.ValueType vt, Types.FileFormat fmt)	Constructor to setup read or write LOP In case of write: input must be provided.
	DataGen(Types.OpOpDG op, DataIdentifier id, HashMap<String,Lop> inputParametersLops, String baseDir, Types.DataType dt, Types.ValueType vt, Types.ExecType et)	Creates a new Rand-LOP.
	DeCompression(Lop input, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
	DnnTransform(Lop input, Types.OpOpDnn op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k, double intermediateMemBudget)	Constructor when we have one input.
	DnnTransform(Lop input1, Lop input2, Types.OpOpDnn op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)
	DnnTransform(Lop input1, Lop input2, Lop input3, Types.OpOpDnn op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)
	Federated(HashMap<String,Lop> inputLops, Types.DataType dataType, Types.ValueType valueType)
	GroupedAggregate(HashMap<String,Lop> inputParameterLops, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
	GroupedAggregate(HashMap<String,Lop> inputParameterLops, Types.DataType dt, Types.ValueType vt, Types.ExecType et, boolean broadcastGroups)
	GroupedAggregate(HashMap<String,Lop> inputParameterLops, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)
	GroupedAggregateM(HashMap<String,Lop> inputParameterLops, Types.DataType dt, Types.ValueType vt, boolean partitioned, Types.ExecType et)
	LeftIndex(Lop lhsInput, Lop rhsInput, Lop rowL, Lop rowU, Lop colL, Lop colU, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
	LeftIndex(Lop lhsInput, Lop rhsInput, Lop rowL, Lop rowU, Lop colL, Lop colU, Types.DataType dt, Types.ValueType vt, Types.ExecType et, LeftIndex.LixCacheType type)
	Local(Lop input, Types.DataType dt, Types.ValueType vt)
	Lop(Lop.Type t, Types.DataType dt, Types.ValueType vt)	Constructor to be invoked by base class.
	MapMult(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, boolean rightCache, boolean partitioned, boolean emptyBlocks, AggBinaryOp.SparkAggType aggtype)	Constructor to setup a partial Matrix-Vector Multiplication for Spark
	MapMultChain(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, Types.ExecType et)	Constructor to setup a map mult chain without weights
	MapMultChain(Lop input1, Lop input2, Lop input3, MapMultChain.ChainType chain, Types.DataType dt, Types.ValueType vt, Types.ExecType et)	Constructor to setup a map mult chain with weights
	MatMultCP(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
	MatMultCP(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, Types.ExecType et, boolean isLeftTransposed, boolean isRightTransposed)
	MatMultCP(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)
	MatMultCP(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k, boolean isLeftTransposed, boolean isRightTransposed)
	MMCJ(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, boolean outputEmptyBlocks, AggBinaryOp.SparkAggType aggtype, Types.ExecType et)
	MMCJ(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, MMCJ.MMCJType type, Types.ExecType et)	Constructor to perform a cross product operation.
	MMRJ(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, Types.ExecType et)	Constructor to perform a cross product operation.
	MMTSJ(Lop input1, Types.DataType dt, Types.ValueType vt, Types.ExecType et, MMTSJ.MMTSJType type)
	MMTSJ(Lop input1, Types.DataType dt, Types.ValueType vt, Types.ExecType et, MMTSJ.MMTSJType type, boolean multiPass)
	MMTSJ(Lop input1, Types.DataType dt, Types.ValueType vt, Types.ExecType et, MMTSJ.MMTSJType type, boolean multiPass, int k)
	MMZip(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, boolean tRewrite, Types.ExecType et)
	Nary(Types.OpOpN operationType, Types.DataType dt, Types.ValueType vt, Lop[] inputLops, Types.ExecType et)
	ParameterizedBuiltin(HashMap<String,Lop> paramLops, Types.ParamBuiltinOp op, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
	ParameterizedBuiltin(HashMap<String,Lop> paramLops, Types.ParamBuiltinOp op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, boolean bRmEmptyBC)
	ParameterizedBuiltin(HashMap<String,Lop> paramLops, Types.ParamBuiltinOp op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)
	PartialAggregate(Lop input, Types.AggOp op, Types.Direction direct, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)
	PartialAggregate(Lop input, Types.AggOp op, Types.Direction direct, Types.DataType dt, Types.ValueType vt, AggBinaryOp.SparkAggType aggtype, Types.ExecType et)
	PickByCount(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, PickByCount.OperationTypes op, Types.ExecType et)
	PickByCount(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, PickByCount.OperationTypes op, Types.ExecType et, boolean inMemoryInput)
	PMapMult(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt)
	PMMJ(Lop pminput, Lop rightinput, Lop nrow, Types.DataType dt, Types.ValueType vt, boolean partitioned, boolean emptyBlocks, Types.ExecType et)	Constructor to setup a Permutation Matrix Multiplication
	ReBlock(Lop input, int blen, Types.DataType dt, Types.ValueType vt, boolean outputEmptyBlocks, Types.ExecType et)
	RightIndex(Lop input, Lop rowL, Lop rowU, Lop colL, Lop colU, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
	RightIndex(Lop input, Lop rowL, Lop rowU, Lop colL, Lop colU, Types.DataType dt, Types.ValueType vt, Types.ExecType et, boolean forleft)
	RightIndex(Lop input, Lop rowL, Lop rowU, Lop colL, Lop colU, Types.DataType dt, Types.ValueType vt, AggBinaryOp.SparkAggType aggtype, Types.ExecType et)
	SortKeys(Lop input, boolean desc, SortKeys.OperationTypes op, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
	SortKeys(Lop input1, Lop input2, SortKeys.OperationTypes op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int numThreads)
	SortKeys(Lop input, SortKeys.OperationTypes op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int numThreads)
	SpoofFused(ArrayList<Lop> inputs, Types.DataType dt, Types.ValueType vt, Class<?> cla, SpoofCompiler.GeneratorAPI api, String genVarName, int k, Types.ExecType etype)
	Sql(HashMap<String,Lop> inputParametersLops, Types.DataType dt, Types.ValueType vt)
	Tee(Lop input1, Types.DataType dt, Types.ValueType vt)	Constructor to be invoked by base class.
	Ternary(Types.OpOp3 op, Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int numThreads)
	TernaryAggregate(Lop input1, Lop input2, Lop input3, Types.AggOp aggOp, Types.OpOp2 binOp, Types.Direction direction, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)
	Transform(Lop[] inputs, Types.ReOrgOp op, Types.DataType dt, Types.ValueType vt, boolean outputEmptyBlock, Types.ExecType et)
	Transform(Lop[] inputs, Types.ReOrgOp op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, boolean bSortIndInMem)
	Transform(Lop[] inputs, Types.ReOrgOp op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, boolean bSortIndInMem, int k)
	Transform(Lop[] inputs, Types.ReOrgOp op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)
	Transform(Lop input, Types.ReOrgOp op, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
	Transform(Lop input, Types.ReOrgOp op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, boolean bSortIndInMem)
	Transform(Lop input, Types.ReOrgOp op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)
	UAggOuterChain(Lop input1, Lop input2, Types.AggOp uaop, Types.Direction uadir, Types.OpOp2 bop, Types.DataType dt, Types.ValueType vt, Types.ExecType et)	Constructor to setup a unaryagg outer chain
	Unary(Lop input1, Types.OpOp1 op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int numThreads, boolean inplace)	Constructor to perform a unary operation with 1 input.
	Unary(Lop input1, Lop input2, Types.OpOp1 op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int numThreads)	Constructor to perform a unary operation with 2 inputs
	UnaryCP(Lop input, Types.OpOp1 op, Types.DataType dt, Types.ValueType vt)
	UnaryCP(Lop input, Types.OpOp1 op, Types.DataType dt, Types.ValueType vt, int k)
	UnaryCP(Lop input, Types.OpOp1 op, Types.DataType dt, Types.ValueType vt, Types.ExecType et)
	UnaryCP(Lop input, Types.OpOp1 op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k)	Constructor to perform a scalar operation
	WeightedCrossEntropy(Lop input1, Lop input2, Lop input3, Lop input4, Types.DataType dt, Types.ValueType vt, WeightedCrossEntropy.WCeMMType wt, Types.ExecType et)
	WeightedCrossEntropyR(Lop input1, Lop input2, Lop input3, Lop input4, Types.DataType dt, Types.ValueType vt, WeightedCrossEntropy.WCeMMType wt, boolean cacheU, boolean cacheV, Types.ExecType et)
	WeightedDivMM(Lop input1, Lop input2, Lop input3, Lop input4, Types.DataType dt, Types.ValueType vt, WeightedDivMM.WDivMMType wt, Types.ExecType et)
	WeightedDivMMR(Lop input1, Lop input2, Lop input3, Lop input4, Types.DataType dt, Types.ValueType vt, WeightedDivMM.WDivMMType wt, boolean cacheU, boolean cacheV, Types.ExecType et)
	WeightedSigmoid(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, WeightedSigmoid.WSigmoidType wt, Types.ExecType et)
	WeightedSigmoidR(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, WeightedSigmoid.WSigmoidType wt, boolean cacheU, boolean cacheV, Types.ExecType et)
	WeightedSquaredLoss(Lop input1, Lop input2, Lop input3, Lop input4, Types.DataType dt, Types.ValueType vt, WeightedSquaredLoss.WeightsType wt, Types.ExecType et)
	WeightedSquaredLossR(Lop input1, Lop input2, Lop input3, Lop input4, Types.DataType dt, Types.ValueType vt, WeightedSquaredLoss.WeightsType wt, boolean cacheU, boolean cacheV, Types.ExecType et)
	WeightedUnaryMM(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, WeightedUnaryMM.WUMMType wt, Types.OpOp1 op, Types.ExecType et)
	WeightedUnaryMMR(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, WeightedUnaryMM.WUMMType wt, Types.OpOp1 op, boolean cacheU, boolean cacheV, Types.ExecType et)

Uses of Types.ValueType in org.apache.sysds.parser

Methods in org.apache.sysds.parser that return Types.ValueType

Modifier and Type	Method	Description
static Types.ValueType	Expression.computeValueType(Expression expr1, Types.ValueType v1, Types.ValueType v2, boolean cast)
static Types.ValueType	Expression.computeValueType(Expression expression1, Expression expression2, boolean cast)	Compute value type based on expressions.
static Types.ValueType	Expression.computeValueType(Identifier identifier1, Identifier identifier2, boolean cast)	Compute value type based on identifiers.
Types.ValueType	Identifier.getValueType()

Methods in org.apache.sysds.parser with parameters of type Types.ValueType

Modifier and Type	Method	Description
static Types.ValueType	Expression.computeValueType(Expression expr1, Types.ValueType v1, Types.ValueType v2, boolean cast)
static Builtins	BuiltinFunctionExpression.getValueTypeCastOperator(Types.ValueType vt)	Convert a value type (double, int, or boolean) to a built-in function operator.
void	Identifier.setValueType(Types.ValueType vt)

Constructors in org.apache.sysds.parser with parameters of type Types.ValueType

Modifier	Constructor	Description
	DataIdentifier(String name, Types.DataType dt, Types.ValueType vt)

Uses of Types.ValueType in org.apache.sysds.runtime.controlprogram

Methods in org.apache.sysds.runtime.controlprogram with parameters of type Types.ValueType

Modifier and Type	Method	Description
ScalarObject	ProgramBlock.executePredicate(ArrayList<Instruction> inst, Hop hops, boolean requiresRecompile, Types.ValueType retType, ExecutionContext ec)	Executes given predicate instructions (incl recompilation if required)

Uses of Types.ValueType in org.apache.sysds.runtime.controlprogram.caching

Methods in org.apache.sysds.runtime.controlprogram.caching that return Types.ValueType

Modifier and Type	Method	Description
Types.ValueType[]	FrameObject.getSchema()
Types.ValueType[]	FrameObject.getSchema(int cl, int cu)	Obtain schema of value types
Types.ValueType[]	FrameObject.mergeSchemas(FrameObject fo)	Creates a new collection which contains the schema of the current frame object concatenated with the schema of the passed frame object.
static Types.ValueType[]	FrameObject.parseSchema(String schema)

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

Modifier and Type	Method	Description
void	FrameObject.setSchema(Types.ValueType[] schema)

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

Modifier	Constructor	Description
	FrameObject(String fname, MetaData meta, Types.ValueType[] schema)
	MatrixObject(Types.ValueType vt, String file)	Constructor that takes the value type and the HDFS filename.
	MatrixObject(Types.ValueType vt, String file, MetaData mtd)	Constructor that takes the value type, HDFS filename and associated metadata.
	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
	TensorObject(Types.ValueType vt, String fname)

Uses of Types.ValueType in org.apache.sysds.runtime.controlprogram.context

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

Modifier and Type	Method	Description
ScalarObject	ExecutionContext.getScalarInput(String name, Types.ValueType vt, boolean isLiteral)
static FrameBlock	SparkExecutionContext.toFrameBlock(org.apache.spark.api.java.JavaPairRDD<Long,FrameBlock> rdd, Types.ValueType[] schema, int rlen, int clen)
static FrameBlock	SparkExecutionContext.toFrameBlock(RDDObject rdd, Types.ValueType[] schema, int rlen, int clen)

Constructors in org.apache.sysds.runtime.controlprogram.context with parameters of type Types.ValueType

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

Uses of Types.ValueType in org.apache.sysds.runtime.data

Fields in org.apache.sysds.runtime.data declared as Types.ValueType

Modifier and Type	Field	Description
static final Types.ValueType	TensorBlock.DEFAULT_VTYPE

Methods in org.apache.sysds.runtime.data that return Types.ValueType

Modifier and Type	Method	Description
Types.ValueType	DataTensorBlock.getColValueType(int col)
Types.ValueType[]	DataTensorBlock.getSchema()
Types.ValueType[]	TensorBlock.getSchema()	Get the schema if this TensorBlock is heterogeneous.
Types.ValueType	BasicTensorBlock.getValueType()
Types.ValueType	TensorBlock.getValueType()	Get the ValueType if this TensorBlock is homogeneous.
static Types.ValueType	TensorBlock.resultValueType(Types.ValueType in1, Types.ValueType in2)

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

Modifier and Type	Method	Description
static DenseBlock	DenseBlockFactory.createDenseBlock(Types.ValueType vt, int[] dims)
static DenseBlock	DenseBlockFactory.createDenseBlock(Types.ValueType vt, int[] dims, boolean dedup)
static DenseBlock	DenseBlockFactory.createDenseBlock(Types.ValueType vt, DenseBlock.Type type, int[] dims, boolean dedup)
abstract boolean	DenseBlock.isNumeric(Types.ValueType vt)	Indicates if the dense block is a specific numeric value type.
boolean	DenseBlockBool.isNumeric(Types.ValueType vt)
boolean	DenseBlockFP32.isNumeric(Types.ValueType vt)
boolean	DenseBlockFP64.isNumeric(Types.ValueType vt)
boolean	DenseBlockFP64DEDUP.isNumeric(Types.ValueType vt)
boolean	DenseBlockInt32.isNumeric(Types.ValueType vt)
boolean	DenseBlockInt64.isNumeric(Types.ValueType vt)
boolean	DenseBlockLBool.isNumeric(Types.ValueType vt)
boolean	DenseBlockLFP32.isNumeric(Types.ValueType vt)
boolean	DenseBlockLFP64.isNumeric(Types.ValueType vt)
boolean	DenseBlockLFP64DEDUP.isNumeric(Types.ValueType vt)
boolean	DenseBlockLInt32.isNumeric(Types.ValueType vt)
boolean	DenseBlockLInt64.isNumeric(Types.ValueType vt)
boolean	DenseBlockLString.isNumeric(Types.ValueType vt)
boolean	DenseBlockString.isNumeric(Types.ValueType vt)
void	DataTensorBlock.reset(int[] dims, Types.ValueType[] schema)
static Types.ValueType	TensorBlock.resultValueType(Types.ValueType in1, Types.ValueType in2)

Constructors in org.apache.sysds.runtime.data with parameters of type Types.ValueType

Modifier	Constructor	Description
	BasicTensorBlock(int[] dims, Types.ValueType vt, double val)
	BasicTensorBlock(Types.ValueType vt, int[] dims)
	BasicTensorBlock(Types.ValueType vt, int[] dims, boolean sp)
	BasicTensorBlock(Types.ValueType vt, int[] dims, boolean sp, long estnnz)
	DataTensorBlock(int ncols, Types.ValueType vt)
	DataTensorBlock(Types.ValueType[] schema)
	DataTensorBlock(Types.ValueType[] schema, int[] dims)
	DataTensorBlock(Types.ValueType[] schema, int[] dims, String[][] data)
	DataTensorBlock(Types.ValueType vt, int[] dims)
	TensorBlock(Types.ValueType[] schema, int[] dims)	Create a data TensorBlock with the given schema and the given dimensions.
	TensorBlock(Types.ValueType vt, int[] dims)	Create a basic TensorBlock with the given ValueType and the given dimensions.

Uses of Types.ValueType in org.apache.sysds.runtime.frame.data

Methods in org.apache.sysds.runtime.frame.data that return Types.ValueType

Modifier and Type	Method	Description
Types.ValueType	FrameBlock.getColumnType(int c)
Types.ValueType[]	FrameBlock.getSchema()	Returns the schema of the frame block.

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

Modifier and Type	Method	Description
static FrameBlock	FrameBlock.convertToFrameBlock(MatrixBlock mb, Types.ValueType[] schema, int k)
void	FrameBlock.setSchema(Types.ValueType[] schema)	Sets the schema of the frame block.

Constructors in org.apache.sysds.runtime.frame.data with parameters of type Types.ValueType

Modifier	Constructor	Description
	FrameBlock(int ncols, Types.ValueType vt)
	FrameBlock(Types.ValueType[] schema)
	FrameBlock(Types.ValueType[] schema, int rlen)
	FrameBlock(Types.ValueType[] schema, String[] names)
	FrameBlock(Types.ValueType[] schema, String[][] data)
	FrameBlock(Types.ValueType[] schema, String[] names, int rlen)
	FrameBlock(Types.ValueType[] schema, String[] names, String[][] data)	allocate a FrameBlock with the given data arrays.
	FrameBlock(Types.ValueType[] schema, String[] colNames, ColumnMetadata[] meta, Array<?>[] data)
	FrameBlock(Types.ValueType[] schema, String constant, int nRow)	FrameBlock constructor with constant

Uses of Types.ValueType in org.apache.sysds.runtime.frame.data.columns

Methods in org.apache.sysds.runtime.frame.data.columns that return Types.ValueType

Modifier and Type	Method	Description
abstract Types.ValueType	Array.getValueType()	Get the current value type of this array.
Types.ValueType	BitSetArray.getValueType()
Types.ValueType	BooleanArray.getValueType()
Types.ValueType	CharArray.getValueType()
Types.ValueType	DDCArray.getValueType()
Types.ValueType	DoubleArray.getValueType()
Types.ValueType	FloatArray.getValueType()
Types.ValueType	HashIntegerArray.getValueType()
Types.ValueType	HashLongArray.getValueType()
Types.ValueType	IntegerArray.getValueType()
Types.ValueType	LongArray.getValueType()
Types.ValueType	OptionalArray.getValueType()
Types.ValueType	RaggedArray.getValueType()
Types.ValueType	StringArray.getValueType()

Methods in org.apache.sysds.runtime.frame.data.columns that return types with arguments of type Types.ValueType

Modifier and Type	Method	Description
final Pair<Types.ValueType,Boolean>	Array.analyzeValueType()	Analyze the column to figure out if the value type can be refined to a better type.
abstract Pair<Types.ValueType,Boolean>	Array.analyzeValueType(int maxCells)	Analyze the column to figure out if the value type can be refined to a better type.
Pair<Types.ValueType,Boolean>	BitSetArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	BooleanArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	CharArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	DDCArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	DoubleArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	FloatArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	HashIntegerArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	HashLongArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	IntegerArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	LongArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	OptionalArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	RaggedArray.analyzeValueType(int maxCells)
Pair<Types.ValueType,Boolean>	StringArray.analyzeValueType(int maxCells)

Methods in org.apache.sysds.runtime.frame.data.columns with parameters of type Types.ValueType

Modifier and Type	Method	Description
static Array<?>	ArrayFactory.allocate(Types.ValueType v, int nRow)
static Array<?>	ArrayFactory.allocate(Types.ValueType v, int nRow, boolean optional)
static Array<?>	ArrayFactory.allocate(Types.ValueType v, int nRow, String val)
static Object	ArrayFactory.allocateBacking(Types.ValueType vt, int nRow)	Allocate the raw backing array for a column of the given value type: the inverse of ArrayFactory.create(ValueType, Object).
static Array<?>	ArrayFactory.allocateOptional(Types.ValueType v, int nRow)
abstract Array<?>	ACompressedArray.changeType(Types.ValueType t)
Array<?>	Array.changeType(Types.ValueType t)	Change the allocated array to a different type.
Array<?>	Array.changeType(Types.ValueType t, boolean containsNull)	Change type taking into consideration if the target type must be able to contain Null.
Array<?>	DDCArray.changeType(Types.ValueType t)
Array<?>	OptionalArray.changeType(Types.ValueType t)
Array<?>	Array.changeTypeWithNulls(Types.ValueType t)
Array<?>	DDCArray.changeTypeWithNulls(Types.ValueType t)
Array<?>	RaggedArray.changeTypeWithNulls(Types.ValueType t)
static Array<?>	ArrayFactory.create(Types.ValueType vt, Object col)	Wrap a fully populated raw typed column array into an Array of the given value type.
static Object	ArrayFactory.defaultNullValue(Types.ValueType v)
static long	ArrayFactory.getInMemorySize(Types.ValueType type, int _numRows, boolean containsNull)
Array<K>	HashMapToInt.inverse(Types.ValueType t)
static Object	ArrayFactory.parseString(String s, Types.ValueType v)

Constructors in org.apache.sysds.runtime.frame.data.columns with parameters of type Types.ValueType

Modifier	Constructor	Description
	OptionalArray(T[] a, Types.ValueType vt)

Uses of Types.ValueType in org.apache.sysds.runtime.frame.data.compress

Fields in org.apache.sysds.runtime.frame.data.compress declared as Types.ValueType

Modifier and Type	Field	Description
final Types.ValueType	ArrayCompressionStatistics.valueType

Constructors in org.apache.sysds.runtime.frame.data.compress with parameters of type Types.ValueType

Modifier	Constructor	Description
	ArrayCompressionStatistics(int bytePerValue, int nUnique, boolean shouldCompress, Types.ValueType valueType, boolean containsNull, ArrayFactory.FrameArrayType bestType, long originalSize, long compressedSizeEstimate, boolean sampledAllRows)

Uses of Types.ValueType in org.apache.sysds.runtime.frame.data.iterators

Methods in org.apache.sysds.runtime.frame.data.iterators with parameters of type Types.ValueType

Modifier and Type	Method	Description
static RowIterator<Object>	IteratorFactory.getObjectRowIterator(FrameBlock fb, Types.ValueType[] schema)	Get a row iterator over the frame where all fields are encoded as boxed objects according to the value types of the provided target schema.

Uses of Types.ValueType in org.apache.sysds.runtime.frame.data.lib

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

Modifier and Type	Method	Description
static Types.ValueType	FrameUtil.isFloatType(String val, int len)
static Types.ValueType	FrameUtil.isHash(String val, int len)
static Types.ValueType	FrameUtil.isIntType(String val, int len)
static Types.ValueType	FrameUtil.isType(double val)
static Types.ValueType	FrameUtil.isType(double val, Types.ValueType min)
static Types.ValueType	FrameUtil.isType(String val)
static Types.ValueType	FrameUtil.isType(String val, Types.ValueType minType)	Get type type subject to minimum another type.

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

Modifier and Type	Method	Description
static FrameBlock	FrameLibApplySchema.applySchema(FrameBlock fb, Types.ValueType[] schema)	Method to create a new FrameBlock where the given schema is applied.
static FrameBlock	FrameLibApplySchema.applySchema(FrameBlock fb, Types.ValueType[] schema, boolean[] nulls, int k)	Method to create a new FrameBlock where the given schema is applied, k is the parallelization degree.
static FrameBlock	FrameLibApplySchema.applySchema(FrameBlock fb, Types.ValueType[] schema, int k)	Method to create a new FrameBlock where the given schema is applied, k is the parallelization degree.
static FrameBlock	FrameFromMatrixBlock.convertToFrameBlock(MatrixBlock mb, Types.ValueType[] schema, int k)
static FrameBlock	FrameFromMatrixBlock.convertToFrameBlock(MatrixBlock mb, Types.ValueType vt, int k)
static boolean	FrameUtil.isDefault(String v, Types.ValueType t)
static Types.ValueType	FrameUtil.isType(double val, Types.ValueType min)
static Types.ValueType	FrameUtil.isType(String val, Types.ValueType minType)	Get type type subject to minimum another type.

Uses of Types.ValueType in org.apache.sysds.runtime.instructions

Methods in org.apache.sysds.runtime.instructions with parameters of type Types.ValueType

Modifier and Type	Method	Description
static String	InstructionUtils.createLiteralOperand(String val, Types.ValueType vt)

Uses of Types.ValueType in org.apache.sysds.runtime.instructions.cp

Methods in org.apache.sysds.runtime.instructions.cp that return Types.ValueType

Modifier and Type	Method	Description
Types.ValueType	CPOperand.getValueType()
Types.ValueType	Data.getValueType()

Methods in org.apache.sysds.runtime.instructions.cp with parameters of type Types.ValueType

Modifier and Type	Method	Description
static LiteralOp	ScalarObjectFactory.createLiteralOp(Types.ValueType vt, String value)
static ScalarObject	ScalarObjectFactory.createScalarObject(Types.ValueType vt, double value)
static ScalarObject	ScalarObjectFactory.createScalarObject(Types.ValueType vt, Object obj)
static ScalarObject	ScalarObjectFactory.createScalarObject(Types.ValueType vt, String value)
static ScalarObject	ScalarObjectFactory.createScalarObject(Types.ValueType vt, LiteralOp lit)
static ScalarObject	ScalarObjectFactory.createScalarObject(Types.ValueType vt, ScalarObject so)

Constructors in org.apache.sysds.runtime.instructions.cp with parameters of type Types.ValueType

Modifier	Constructor	Description
	CPOperand(String name, Types.ValueType vt, Types.DataType dt)
	CPOperand(String name, Types.ValueType vt, Types.DataType dt, boolean literal)
	ScalarObject(Types.ValueType vt)

Uses of Types.ValueType in org.apache.sysds.runtime.instructions.spark.data

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

Modifier	Constructor	Description
	FrameReblockBuffer(int buffersize, long rlen, long clen, Types.ValueType[] schema)

Uses of Types.ValueType in org.apache.sysds.runtime.instructions.spark.utils

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

Modifier and Type	Method	Description
static org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>	FrameRDDConverterUtils.binaryBlockToDataFrame(org.apache.spark.sql.SparkSession sparkSession, org.apache.spark.api.java.JavaPairRDD<Long,FrameBlock> in, DataCharacteristics mc, Types.ValueType[] schema)
static org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>	FrameRDDConverterUtils.binaryBlockToDataFrame(org.apache.spark.sql.SQLContext sqlContext, org.apache.spark.api.java.JavaPairRDD<Long,FrameBlock> in, DataCharacteristics mc, Types.ValueType[] schema)	Deprecated.
static int	FrameRDDConverterUtils.convertDFSchemaToFrameSchema(org.apache.spark.sql.types.StructType dfschema, String[] colnames, Types.ValueType[] fschema, boolean containsID)	NOTE: regarding the support of vector columns, we make the following schema restriction: single vector column, which allows inference of the vector length without data access and covers the common case.
static org.apache.spark.sql.types.StructType	FrameRDDConverterUtils.convertFrameSchemaToDFSchema(Types.ValueType[] fschema, boolean containsID)	This function will convert Frame schema into DataFrame schema
static org.apache.spark.api.java.JavaPairRDD<Long,FrameBlock>	FrameRDDConverterUtils.csvToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaPairRDD<org.apache.hadoop.io.LongWritable,org.apache.hadoop.io.Text> input, DataCharacteristics mc, Types.ValueType[] schema, boolean hasHeader, String delim, boolean fill, double fillValue, Set<String> naStrings)
static org.apache.spark.api.java.JavaPairRDD<Long,FrameBlock>	FrameRDDConverterUtils.csvToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaRDD<String> input, DataCharacteristics mcOut, Types.ValueType[] schema, boolean hasHeader, String delim, boolean fill, double fillValue, Set<String> naStrings)
static org.apache.spark.api.java.JavaRDD<org.apache.spark.sql.Row>	FrameRDDConverterUtils.csvToRowRDD(org.apache.spark.api.java.JavaSparkContext sc, String fnameIn, String delim, Types.ValueType[] schema)
static org.apache.spark.api.java.JavaRDD<org.apache.spark.sql.Row>	FrameRDDConverterUtils.csvToRowRDD(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaRDD<String> dataRdd, String delim, Types.ValueType[] schema)
static org.apache.spark.api.java.JavaPairRDD<Long,FrameBlock>	FrameRDDConverterUtils.textCellToBinaryBlock(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaPairRDD<org.apache.hadoop.io.LongWritable,org.apache.hadoop.io.Text> in, DataCharacteristics mcOut, Types.ValueType[] schema)
static org.apache.spark.api.java.JavaPairRDD<Long,FrameBlock>	FrameRDDConverterUtils.textCellToBinaryBlockLongIndex(org.apache.spark.api.java.JavaSparkContext sc, org.apache.spark.api.java.JavaPairRDD<Long,org.apache.hadoop.io.Text> input, DataCharacteristics mc, Types.ValueType[] schema)

Uses of Types.ValueType in org.apache.sysds.runtime.io

Methods in org.apache.sysds.runtime.io that return Types.ValueType

Modifier and Type	Method	Description
Types.ValueType[]	FrameReader.getDefSchema(long clen)

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

Modifier and Type	Method	Description
FrameBlock	FrameReader.readFrameFromHDFS(String fname, Types.ValueType[] schema, long rlen, long clen)
abstract FrameBlock	FrameReader.readFrameFromHDFS(String fname, Types.ValueType[] schema, String[] names, long rlen, long clen)
final FrameBlock	FrameReaderBinaryBlock.readFrameFromHDFS(String fname, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameReaderDelta.readFrameFromHDFS(String fname, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameReaderDeltaParallel.readFrameFromHDFS(String fname, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameReaderJSONL.readFrameFromHDFS(String fname, Types.ValueType[] schema, Map<String,Integer> schemaMap, long rlen, long clen)
FrameBlock	FrameReaderParquet.readFrameFromHDFS(String fname, Types.ValueType[] schema, String[] names, long rlen, long clen)	Reads a Parquet file from HDFS and converts it into a FrameBlock.
FrameBlock	FrameReaderProto.readFrameFromHDFS(String fname, Types.ValueType[] schema, String[] names, long rlen, long clen)
final FrameBlock	FrameReaderTextCell.readFrameFromHDFS(String fname, Types.ValueType[] schema, String[] names, long rlen, long clen)
final FrameBlock	FrameReaderTextCSV.readFrameFromHDFS(String fname, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameReader.readFrameFromInputStream(InputStream is, Types.ValueType[] schema, long rlen, long clen)
abstract FrameBlock	FrameReader.readFrameFromInputStream(InputStream is, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameReaderBinaryBlock.readFrameFromInputStream(InputStream is, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameReaderDelta.readFrameFromInputStream(InputStream is, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameReaderParquet.readFrameFromInputStream(InputStream is, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameReaderProto.readFrameFromInputStream(InputStream is, Types.ValueType[] schema, String[] names, long rlen, long clen)
final FrameBlock	FrameReaderTextCell.readFrameFromInputStream(InputStream is, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameReaderTextCSV.readFrameFromInputStream(InputStream is, Types.ValueType[] schema, String[] names, long rlen, long clen)
abstract TensorBlock	TensorReader.readTensorFromHDFS(String fname, long[] dims, int blen, Types.ValueType[] schema)
TensorBlock	TensorReaderBinaryBlock.readTensorFromHDFS(String fname, long[] dims, int blen, Types.ValueType[] schema)
TensorBlock	TensorReaderTextCell.readTensorFromHDFS(String fname, long[] dims, int blen, Types.ValueType[] schema)

Uses of Types.ValueType in org.apache.sysds.runtime.iogen

Methods in org.apache.sysds.runtime.iogen that return Types.ValueType

Modifier and Type	Method	Description
Types.ValueType	MappingProperties.getPatternValueType()
Types.ValueType[]	CustomProperties.getSchema()

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

Modifier and Type	Method	Description
Pair<Integer,Integer>	RawIndex.findValue(Object value, Types.ValueType valueType)
void	MappingProperties.setPatternRepresentation(Types.ValueType valueType, Object value)
void	CustomProperties.setSchema(Types.ValueType[] schema)

Uses of Types.ValueType in org.apache.sysds.runtime.iogen.codegen

Methods in org.apache.sysds.runtime.iogen.codegen that return Types.ValueType

Modifier and Type	Method	Description
Types.ValueType	CodeGenTrieNode.getValueType()

Methods in org.apache.sysds.runtime.iogen.codegen with parameters of type Types.ValueType

Modifier and Type	Method	Description
void	CodeGenTrieNode.setValueType(Types.ValueType valueType)

Constructors in org.apache.sysds.runtime.iogen.codegen with parameters of type Types.ValueType

Modifier	Constructor	Description
	CodeGenTrieNode(boolean endOfCondition, String colIndex, Types.ValueType valueType, String key, HashSet<String> naStrings, CodeGenTrieNode.NodeType type)

Uses of Types.ValueType in org.apache.sysds.runtime.iogen.template

Methods in org.apache.sysds.runtime.iogen.template with parameters of type Types.ValueType

Modifier and Type	Method	Description
FrameBlock	FrameGenerateReader.readFrameFromHDFS(String fname, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameGenerateReaderParallel.readFrameFromHDFS(String fname, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameGenerateReader.readFrameFromInputStream(InputStream is, Types.ValueType[] schema, String[] names, long rlen, long clen)
FrameBlock	FrameGenerateReaderParallel.readFrameFromInputStream(InputStream is, Types.ValueType[] schema, String[] names, long rlen, long clen)

Uses of Types.ValueType in org.apache.sysds.runtime.transform.decode

Methods in org.apache.sysds.runtime.transform.decode that return Types.ValueType

Modifier and Type	Method	Description
Types.ValueType[]	Decoder.getSchema()

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

Modifier and Type	Method	Description
static Decoder	DecoderFactory.createDecoder(String spec, String[] colnames, Types.ValueType[] schema, FrameBlock meta)
static Decoder	DecoderFactory.createDecoder(String spec, String[] colnames, Types.ValueType[] schema, FrameBlock meta, int clen)
static Decoder	DecoderFactory.createDecoder(String spec, String[] colnames, Types.ValueType[] schema, FrameBlock meta, int minCol, int maxCol)
static Decoder	DecoderFactory.createDecoder(String spec, String[] colnames, Types.ValueType[] schema, FrameBlock meta, int clen, int minCol, int maxCol)

Uses of Types.ValueType in org.apache.sysds.runtime.transform.encode

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

Modifier and Type	Method	Description
static MultiColumnEncoder	EncoderFactory.createEncoder(String spec, String[] colnames, Types.ValueType[] schema, int clen, FrameBlock meta)
static MultiColumnEncoder	EncoderFactory.createEncoder(String spec, String[] colnames, Types.ValueType[] schema, int clen, FrameBlock meta, MatrixBlock embeddings)
static MultiColumnEncoder	EncoderFactory.createEncoder(String spec, String[] colnames, Types.ValueType[] schema, FrameBlock meta)
static MultiColumnEncoder	EncoderFactory.createEncoder(String spec, String[] colnames, Types.ValueType[] schema, FrameBlock meta, int minCol, int maxCol)
static MultiColumnEncoder	EncoderFactory.createEncoder(String spec, String[] colnames, Types.ValueType[] schema, FrameBlock meta, MatrixBlock embeddings)

Uses of Types.ValueType in org.apache.sysds.runtime.transform.tokenize

Methods in org.apache.sysds.runtime.transform.tokenize that return Types.ValueType

Modifier and Type	Method	Description
Types.ValueType[]	Tokenizer.getSchema()

Uses of Types.ValueType in org.apache.sysds.runtime.transform.tokenize.applier

Methods in org.apache.sysds.runtime.transform.tokenize.applier that return Types.ValueType

Modifier and Type	Method	Description
abstract Types.ValueType[]	TokenizerApplier.getOutSchema()
Types.ValueType[]	TokenizerApplierCount.getOutSchema()
Types.ValueType[]	TokenizerApplierHash.getOutSchema()
Types.ValueType[]	TokenizerApplierPosition.getOutSchema()

Uses of Types.ValueType in org.apache.sysds.runtime.util

Methods in org.apache.sysds.runtime.util that return Types.ValueType

Modifier and Type	Method	Description
static Types.ValueType[]	UtilFunctions.copyOf(Types.ValueType[] schema1, Types.ValueType[] schema2)
static Types.ValueType[]	UtilFunctions.nCopies(int n, Types.ValueType vt)
static Types.ValueType[]	UtilFunctions.stringToValueType(String[] schemaValues)	Generates a ValueType array from a String array

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

Modifier and Type	Method	Description
static int	UtilFunctions.compareTo(Types.ValueType vt, Object in1, Object in2)
static Array<?>	Py4jConverterUtils.convert(byte[] data, int numElements, Types.ValueType valueType)
static Array<?>[]	Py4jConverterUtils.convertFused(byte[] data, int numElements, Types.ValueType[] valueTypes)
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 Object[]	Py4jConverterUtils.convertRow(byte[] data, int numElements, Types.ValueType valueType)
static FrameBlock	DataConverter.convertToFrameBlock(String[][] data, Types.ValueType[] schema)
static FrameBlock	DataConverter.convertToFrameBlock(String[][] data, Types.ValueType[] schema, String[] colnames)
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 TensorBlock	DataConverter.convertToTensorBlock(MatrixBlock mb, Types.ValueType vt, boolean toBasicTensor)
static Types.ValueType[]	UtilFunctions.copyOf(Types.ValueType[] schema1, Types.ValueType[] schema2)
static Object	UtilFunctions.doubleToObject(Types.ValueType vt, double in)
static Object	UtilFunctions.doubleToObject(Types.ValueType vt, double in, boolean sparse)
static int	UtilFunctions.frequency(Types.ValueType[] schema, Types.ValueType vt)
static FrameBlock	UtilFunctions.generateRandomFrameBlock(int rows, int cols, Types.ValueType[] schema, Random random)	Generates a random FrameBlock with given parameters.
static Object	UtilFunctions.generateRandomValueFromValueType(Types.ValueType valueType, Random random)	Generates a random value for a given Value Type
static int	UnixPipeUtils.getElementSize(Types.ValueType type)
static String	HDFSTool.metaDataToString(Types.ValueType vt, Types.ValueType[] schema, Types.DataType dt, DataCharacteristics dc, Types.FileFormat fmt, FileFormatProperties formatProperties)
static String	HDFSTool.metaDataToString(Types.ValueType vt, Types.ValueType[] schema, Types.DataType dt, DataCharacteristics dc, Types.FileFormat fmt, FileFormatProperties formatProperties, String privacyConstraints)
static Types.ValueType[]	UtilFunctions.nCopies(int n, Types.ValueType vt)
static boolean	UtilFunctions.objectToBoolean(Types.ValueType vt, Object in)
static char	UtilFunctions.objectToCharacter(Types.ValueType vt, Object in)
static double	UtilFunctions.objectToDouble(Types.ValueType vt, Object in)
static double	UtilFunctions.objectToDoubleSafe(Types.ValueType vt, Object in)
static float	UtilFunctions.objectToFloat(Types.ValueType vt, Object in)
static int	UtilFunctions.objectToInteger(Types.ValueType vt, Object in)
static long	UtilFunctions.objectToLong(Types.ValueType vt, Object in)
static Object	UtilFunctions.objectToObject(Types.ValueType vt, Object in)
static Object	UtilFunctions.objectToObject(Types.ValueType vt, Object in, boolean ignoreNull)
static Array<?>	UnixPipeUtils.readFrameColumnFromPipe(BufferedInputStream in, int id, int rows, int totalBytes, int batchSize, Types.ValueType type)
static long	UnixPipeUtils.readNumpyArrayInBatches(BufferedInputStream in, int id, int batchSize, int numElem, Types.ValueType type, double[] out, int offsetOut)
static Object	HDFSTool.readObjectFromHDFSFile(String filename, Types.ValueType vt)
static ScalarObject	HDFSTool.readScalarObjectFromHDFSFile(String fname, Types.ValueType vt)
static TensorBlock	DataConverter.readTensorFromHDFS(String dir, Types.FileFormat fmt, long[] dims, int blen, Types.ValueType[] schema)
static Object	UtilFunctions.stringToObject(Types.ValueType vt, String in)
static long	UnixPipeUtils.writeFrameColumnToPipe(BufferedOutputStream out, int id, int batchSize, Array<?> array, Types.ValueType type)	Symmetric with readFrameColumnFromPipe — writes FrameBlock column data to pipe.
static void	HDFSTool.writeMetaDataFile(String mtdfile, Types.ValueType vt, Types.ValueType[] schema, Types.DataType dt, DataCharacteristics mc, Types.FileFormat fmt)
static void	HDFSTool.writeMetaDataFile(String mtdfile, Types.ValueType vt, Types.ValueType[] schema, Types.DataType dt, DataCharacteristics dc, Types.FileFormat fmt, FileFormatProperties formatProperties)
static void	HDFSTool.writeMetaDataFile(String mtdfile, Types.ValueType vt, Types.ValueType[] schema, Types.DataType dt, DataCharacteristics dc, Types.FileFormat fmt, FileFormatProperties formatProperties, String privacyConstraints)
static void	HDFSTool.writeMetaDataFile(String mtdfile, Types.ValueType vt, DataCharacteristics mc, Types.FileFormat fmt)
static void	HDFSTool.writeMetaDataFile(String mtdfile, Types.ValueType vt, DataCharacteristics dc, Types.FileFormat fmt, FileFormatProperties formatProperties)
static void	HDFSTool.writeMetaDataFileFrame(String mtdfile, Types.ValueType[] schema, DataCharacteristics dc, Types.FileFormat fmt)
static long	UnixPipeUtils.writeNumpyArrayInBatches(BufferedOutputStream out, int id, int batchSize, int numElem, Types.ValueType type, MatrixBlock mb)	Symmetric with readNumpyArrayInBatches — writes data in batches with handshake.
static void	HDFSTool.writeScalarMetaDataFile(String mtdfile, Types.ValueType vt)