Class LocalGraphRecall

java.lang.Object
edu.cmu.tetrad.algcomparison.statistic.LocalGraphRecall
All Implemented Interfaces:
Statistic, Serializable

public class LocalGraphRecall extends Object implements Statistic
LocalGraphRecall implements the Statistic interface and represents the local graph recall statistic. It calculates the recall of the estimated graph with respect to the true graph. The recall is defined as the ratio of true positives (TP) to the sum of true positives and false negatives (TP + FN).
See Also:
  • Constructor Details

    • LocalGraphRecall

      public LocalGraphRecall()
      The default constructor of the LocalGraphRecall class.
  • Method Details

    • getAbbreviation

      public String getAbbreviation()
      Description copied from interface: Statistic
      The abbreviation for the statistic. This will be printed at the top of each column.
      Specified by:
      getAbbreviation in interface Statistic
      Returns:
      This abbreviation.
    • getDescription

      public String getDescription()
      Description copied from interface: Statistic
      Returns a short one-line description of this statistic. This will be printed at the beginning of the report.
      Specified by:
      getDescription in interface Statistic
      Returns:
      This description.
    • getValue

      public double getValue(Graph trueGraph, Graph estGraph, DataModel dataModel)
      Description copied from interface: Statistic
      Returns the value of this statistic, given the true graph and the estimated graph.
      Specified by:
      getValue in interface Statistic
      Parameters:
      trueGraph - The true graph (DAG, CPDAG, PAG_of_the_true_DAG).
      estGraph - The estimated graph (same type).
      dataModel - The data model.
      Returns:
      The value of the statistic.
    • getNormValue

      public double getNormValue(double value)
      Description copied from interface: Statistic
      Returns a mapping of the statistic to the interval [0, 1], with higher being better. This is used for a calculation of a utility for an algorithm. If the statistic is already between 0 and 1, you can just return the statistic.
      Specified by:
      getNormValue in interface Statistic
      Parameters:
      value - The value of the statistic.
      Returns:
      The weight of the statistic, 0 to 1, higher is better.