Module datarush.analytics

Package com.pervasive.datarush.analytics.regression

Class LogisticRegressionPredictor

java.lang.Object

com.pervasive.datarush.operators.AbstractLogicalOperator

com.pervasive.datarush.operators.StreamingOperator

com.pervasive.datarush.operators.ExecutableOperator

com.pervasive.datarush.analytics.util.AbstractPredictor

com.pervasive.datarush.analytics.regression.LogisticRegressionPredictor

All Implemented Interfaces:

LogicalOperator

public class LogisticRegressionPredictor
extends AbstractPredictor

Constructor Summary

Constructors

Constructor	Description
LogisticRegressionPredictor()

Method Summary

Modifier and Type	Method	Description
protected void	execute(PMMLModel pmml, RecordValued input, ScalarSettable[] predictedFields)	Called to perform prediction.
String	getWinnerField()	Gets the name of the winner field to output.
protected RecordTokenType	predictedType(PMMLModelSpec modelSpec)	Given the model spec, returns the predicted type.
void	setWinnerField(String name)	Sets the name of the winner field to output.

Methods inherited from class com.pervasive.datarush.analytics.util.AbstractPredictor

computeMetadata, execute, getInput, getModel, getOutput, pushPrediction, stepNext

Methods inherited from class com.pervasive.datarush.operators.ExecutableOperator

cloneForExecution, getNumInputCopies, getPortSettings, handleInactiveOutput

Methods inherited from class com.pervasive.datarush.operators.AbstractLogicalOperator

disableParallelism, getInputPorts, getOutputPorts, newInput, newInput, newOutput, newRecordInput, newRecordInput, newRecordOutput, notifyError

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LogisticRegressionPredictor

public LogisticRegressionPredictor()

Method Detail

predictedType

protected RecordTokenType predictedType(PMMLModelSpec modelSpec)

Description copied from class: AbstractPredictor

Given the model spec, returns the predicted type. This should not include the input type ( the input is automatically prepended to the type that is returned )

Specified by:

predictedType in class AbstractPredictor

Parameters:

modelSpec - the model metadata

Returns:

the predicted type

getWinnerField

public String getWinnerField()

Gets the name of the winner field to output. This is "winner" by-default.

Returns:

the name of the winner field to output.

setWinnerField

public void setWinnerField(String name)

Sets the name of the winner field to output. This is "winner" by-default.

Parameters:

winnerField - the name of the winner field to output.

execute

protected void execute(PMMLModel pmml,
                       RecordValued input,
                       ScalarSettable[] predictedFields)

Description copied from class: AbstractPredictor

Called to perform prediction. Subclasses are expected to loop over the input by calling AbstractPredictor.stepNext(). For each row of input, subclasses should first set the predicted values in the predictedFields array and then invoke AbstractPredictor.pushPrediction(). Subclasses should not invoke pushEndOfData since that is automatically handled by the base class.

Specified by:

execute in class AbstractPredictor

Parameters:

pmml - The input PMML model

input - The input data

predictedFields - An array of fields that reference the predicted field locations. The array positionally corresponds to the type returned by AbstractPredictor.predictedType(PMMLModelSpec).