Class ImpliedOrientationRatioEst
java.lang.Object
edu.cmu.tetrad.algcomparison.statistic.ImpliedOrientationRatioEst
- All Implemented Interfaces:
Statistic,Serializable
The Implied Arrow Orientation Ratio Est statistic calculates the ratio of the number of implied arrows to the number
of arrows in unshielded colliders in the estimated graph. Implied Arrow Orientation Ratio in the Estimated Graph =
(numImpliedArrows - numArrowsInUnshieldedColliders) / numArrowsInUnshieldedColliders. It implements the Statistic
interface.
- See Also:
-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionThe abbreviation for the statistic.A 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 trueGraph, Graph estGraph, DataModel dataModel, Parameters parameters) Returns the value of this statistic, given the true graph and the estimated graph.
-
Constructor Details
-
ImpliedOrientationRatioEst
public ImpliedOrientationRatioEst()Constructs the statistic.
-
-
Method Details
-
getAbbreviation
The abbreviation for the statistic. This will be printed at the top of each column.- Specified by:
getAbbreviationin interfaceStatistic- Returns:
- This abbreviation.
-
getDescription
A 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.
-
getValue
Returns the value of this statistic, given the true graph and the estimated graph. -
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.
-