Class NumDefinitelyDirected
java.lang.Object
edu.cmu.tetrad.algcomparison.statistic.NumDefinitelyDirected
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Statistic, Serializable
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionThe abbreviation for the statistic.Returns a short one-line description of this statistic.doublegetNormValue(double value) Returns a mapping of the statistic to the interval [0, 1], with higher being better.doublegetValue(Graph trueDag, Graph trueGraph, Graph estGraph, DataModel dataModel, Parameters parameters) Calculates and returns the value of the statistic based on the provided graphs, data model, and parameters.booleanThis method does not use the truth so is suitable for analyzing empirical data.
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Constructor Details
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NumDefinitelyDirected
public NumDefinitelyDirected()Constructs a new instance of the statistic.
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Method Details
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getAbbreviation
The abbreviation for the statistic. This will be printed at the top of each column.- Specified by:
getAbbreviationin interfaceStatistic- Returns:
- This abbreviation.
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getDescription
Returns a short one-line description of this statistic. This will be printed at the beginning of the report.- Specified by:
getDescriptionin interfaceStatistic- Returns:
- This description.
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getValue
public double getValue(Graph trueDag, Graph trueGraph, Graph estGraph, DataModel dataModel, Parameters parameters) Calculates and returns the value of the statistic based on the provided graphs, data model, and parameters.- Specified by:
getValuein interfaceStatistic- Parameters:
trueDag- The true directed acyclic graph (DAG).trueGraph- The true graph, which could be a DAG, a CPDAG, or a PAG derived from the true DAG.estGraph- The estimated graph, which corresponds to the same type as the trueGraph.dataModel- The data model, which may be null.parameters- The parameters for the calculation, which may be null.- Returns:
- The computed value of the statistic as a double.
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getNormValue
public double getNormValue(double value) 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:
getNormValuein interfaceStatistic- Parameters:
value- The value of the statistic.- Returns:
- The weight of the statistic, 0 to 1, higher is better.
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usesTruth
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