Package org.apache.sysds.lops

Class CoVariance

java.lang.Object

org.apache.sysds.lops.Lop

org.apache.sysds.lops.CoVariance

public class CoVariance
extends Lop

Lop to compute covariance between two 1D matrices

Nested Class Summary

Nested classes/interfaces inherited from class org.apache.sysds.lops.Lop

Lop.SimpleInstType, Lop.Type, Lop.VisitStatus

Field Summary

Fields inherited from class org.apache.sysds.lops.Lop

_beginColumn, _beginLine, _endColumn, _endLine, _filename, CP_CHILD_THREAD, CP_ROOT_THREAD_ID, DATATYPE_PREFIX, FILE_SEPARATOR, FRAME_VAR_NAME_PREFIX, INSTRUCTION_DELIMITOR, LITERAL_PREFIX, MATRIX_VAR_NAME_PREFIX, NAME_VALUE_SEPARATOR, OPERAND_DELIMITOR, PROCESS_PREFIX, SCALAR_VAR_NAME_PREFIX, UPDATE_INPLACE_PREFIX, VALUETYPE_PREFIX, VARIABLE_NAME_PLACEHOLDER

Constructor Summary

Constructors

Constructor	Description
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)

Method Summary

Modifier and Type	Method	Description
String	getInstructions(String input1, String input2, String output)	Function two generate CP instruction to compute unweighted covariance.
String	getInstructions(String input1, String input2, String input3, String output)	Function two generate CP instruction to compute weighted covariance.
String	toString()	Method to have Lops print their state.

Methods inherited from class org.apache.sysds.lops.Lop

activatePrefetch, addInput, addOutput, addToDag, createReachable, getAggType, getBeginColumn, getBeginLine, getBroadcastInput, getComputeEstimate, getDataType, getEndColumn, getEndLine, getExecType, getFederatedOutput, getFilename, getID, getInput, getInputs, getInstructions, getInstructions, getInstructions, getInstructions, getInstructions, getInstructions, getInstructions, getInstructions, getInstructions, getInstructions, getLevel, getNnz, getNumCols, getNumRows, getOutputMemoryEstimate, getOutputParameters, getOutputs, getPipelineID, getProducesIntermediateOutput, getReachable, getSimpleInstructionType, getTotalMemoryEstimate, getType, getValueType, getVisited, isAllOutputsCP, isAllOutputsGPU, isAsynchronousOp, isDataExecLocation, isExecCP, isExecGPU, isExecSpark, isVariable, isVisited, prefetchActivated, prepInputOperand, prepInputOperand, prepOperand, prepOperand, prepOutputOperand, prepOutputOperand, prepOutputOperand, prepScalarInputOperand, prepScalarInputOperand, prepScalarLabel, prepScalarOperand, printErrorLocation, removeConsumer, removeInput, removeOutput, replaceAllInputs, replaceAllOutputs, replaceInput, resetVisitStatus, setAllPositions, setAsynchronous, setBeginColumn, setBeginLine, setComputeEstimate, setConsumerCount, setDataType, setEndColumn, setEndLine, setExecType, setFederatedOutput, setFilename, setMemoryEstimates, setNewID, setPipelineID, setValueType, setVisited, setVisited

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Details

CoVariance

public CoVariance(Lop input1,
 Lop input2,
 Types.DataType dt,
 Types.ValueType vt,
 int numThreads,
 Types.ExecType et)

CoVariance

public CoVariance(Lop input1,
 Lop input2,
 Lop input3,
 Types.DataType dt,
 Types.ValueType vt,
 int numThreads,
 Types.ExecType et)

Method Details

toString

public String toString()

Description copied from class: Lop

Method to have Lops print their state. This is for debugging purposes.

Specified by:

toString in class Lop

getInstructions

public String getInstructions(String input1,
 String input2,
 String output)

Function two generate CP instruction to compute unweighted covariance. input1 -> input column 1 input2 -> input column 2

Overrides:

getInstructions in class Lop

Parameters:

input1 - input 1

input2 - input 2

output - output

Returns:

instructions as string

getInstructions

public String getInstructions(String input1,
 String input2,
 String input3,
 String output)

Function two generate CP instruction to compute weighted covariance. input1 -> input column 1 input2 -> input column 2 input3 -> weights

Overrides:

getInstructions in class Lop

Parameters:

input1 - input 1

input2 - input 2

input3 - input 3

output - output

Returns:

instructions as string