edu.cmu.tetrad.algcomparison.statistic.AdjacencyTn Maven / Gradle / Ivy
package edu.cmu.tetrad.algcomparison.statistic;
import edu.cmu.tetrad.algcomparison.statistic.utils.AdjacencyConfusion;
import edu.cmu.tetrad.data.DataModel;
import edu.cmu.tetrad.graph.Graph;
/**
* The adjacency precision. The true positives are the number of adjacencies in both the true and estimated graphs.
*
* @author josephramsey
*/
public class AdjacencyTn implements Statistic {
private static final long serialVersionUID = 23L;
/**
* Constructs the statistic.
*/
public AdjacencyTn() {
}
/**
* Returns the name of the statistic.
* @return The name.
*/
@Override
public String getAbbreviation() {
return "ATN";
}
/**
* Returns the description of the statistic.
* @return The description.
*/
@Override
public String getDescription() {
return "Adjacency True Negatives";
}
/**
* Returns the value of the statistic, given the true graph and the estimated graph.
* @param trueGraph The true graph (DAG, CPDAG, PAG_of_the_true_DAG).
* @param estGraph The estimated graph (same type).
* @param dataModel The data model.
* @return The value of the statistic.
*/
@Override
public double getValue(Graph trueGraph, Graph estGraph, DataModel dataModel) {
AdjacencyConfusion adjConfusion = new AdjacencyConfusion(trueGraph, estGraph);
return adjConfusion.getTn();
}
/**
* Returns a mapping of the statistic to the interval [0, 1], with higher being better. This is used for a
* @param value The value of the statistic.
* @return The normalized value.
*/
@Override
public double getNormValue(double value) {
return value;
}
}