weka.estimators.UnivariateIntervalEstimator Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of weka-stable Show documentation
Show all versions of weka-stable Show documentation
The Waikato Environment for Knowledge Analysis (WEKA), a machine
learning workbench. This is the stable version. Apart from bugfixes, this version
does not receive any other updates.
/*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
/*
* UnivariateIntervalEstimator.java
* Copyright (C) 2009-2012 University of Waikato, Hamilton, New Zealand
*
*/
package weka.estimators;
/**
* Interface that can be implemented by simple weighted univariate
* interval estimators.
*
* @author Eibe Frank ([email protected])
* @version $Revision: 8034 $
*/
public interface UnivariateIntervalEstimator {
/**
* Adds a value to the interval estimator.
*
* @param value the value to add
* @param weight the weight of the value
*/
void addValue(double value, double weight);
/**
* Returns the intervals at the given confidence value. Each row has
* one interval. The first element in each row is the lower bound,
* the second element the upper one.
*
* @param confidenceValue the value at which to evaluate
* @return the interval
*/
double[][] predictIntervals(double confidenceValue);
}