public class LogisticRegressionPredictor extends AbstractPredictor
Constructor and Description |
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LogisticRegressionPredictor() |
Modifier and Type | Method and Description |
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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.
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void |
setWinnerField(String name)
Sets the name of the winner field to output.
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computeMetadata, execute, getInput, getModel, getOutput, pushPrediction, stepNext
cloneForExecution, getNumInputCopies, getPortSettings, handleInactiveOutput
disableParallelism, getInputPorts, getOutputPorts, newInput, newInput, newOutput, newRecordInput, newRecordInput, newRecordOutput, notifyError
protected RecordTokenType predictedType(PMMLModelSpec modelSpec)
AbstractPredictor
predictedType
in class AbstractPredictor
modelSpec
- the model metadatapublic String getWinnerField()
public void setWinnerField(String name)
winnerField
- the name of the winner field to output.protected void execute(PMMLModel pmml, RecordValued input, ScalarSettable[] predictedFields)
AbstractPredictor
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.execute
in class AbstractPredictor
pmml
- The input PMML modelinput
- The input datapredictedFields
- An array of fields that reference the predicted field locations. The
array positionally corresponds to the type returned by AbstractPredictor.predictedType(PMMLModelSpec)
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