weka.classifiers.timeseries

Interface PrimingDataLearner

All Known Implementing Classes:

HoltWinters

public interface PrimingDataLearner

Interface to a forecaster that learns from the priming data

Version:

$Revision: $

Author:

Mark Hall (mhall{[at]}pentaho{[dot]}com)

Method Summary

Methods

Modifier and Type	Method and Description
int	getMinRequiredTrainingPoints() Return the minimum number of training/priming data points required before a forecast can be made
void	reset() Reset this forecaster ready to learn from a new set of priming data
void	updateForecaster(double primingOrPredictedTargetValue) Update the forecaster on a priming instance or predicted value (for closed-loop projection)

Method Detail

reset

void reset()

Reset this forecaster ready to learn from a new set of priming data

getMinRequiredTrainingPoints

int getMinRequiredTrainingPoints()

Return the minimum number of training/priming data points required before a forecast can be made

Returns:

the minimum number of training/priming data points required

updateForecaster

void updateForecaster(double primingOrPredictedTargetValue)

Update the forecaster on a priming instance or predicted value (for closed-loop projection)

Parameters:

primingOrPredictedTargetValue - the instance to update from