Package edu.cmu.tetrad.search.score

Interface Score

All Known Subinterfaces:

DiscreteScore, HasPenaltyDiscount

All Known Implementing Classes:

BasisFunctionBicScore, BdeScore, BdeuScore, ConditionalGaussianScore, DegenerateGaussianScore, DiscreteBicScore, DiscreteBicScoreAdTree, EbicScore, GicScores, GraphScore, ImagesScore, IndTestScore, MagCgBicScore, MagDgBicScore, MagSemBicScore, MnlrScore, MvpScore, PoissonPriorScore, SemBicScore, SemBicScoreDeterministic, ZsbScore

public interface Score

Interface for a score. Most methods are given defaults so that such a score will be easy to implement in Python usign JPype.

Version:

$Id: $Id

Author:

josephramsey

Method Summary

Modifier and Type	Method	Description
default int[]	append(int[] parents, int extra)	Appends an extra int to a list of ints.
default boolean	determines(List<Node> z, Node y)	Returns true iff the score determines the edge between x and y.
default int	getMaxDegree()	Returns the max degree, by default 1000.
int	getSampleSize()	The sample size of the data.
default Node	getVariable(String targetName)	Returns the variable with the given name.
List<Node>	getVariables()	The variables of the score.
default boolean	isEffectEdge(double bump)	Returns true iff the edge between x and y is an effect edge.
default double	localScore(int node)	Returns the local score of the gien node in the graph.
default double	localScore(int node, int parent)	Returns the local score of the graph.
double	localScore(int node, int... parents)	The score of a node given its parents.
default double	localScoreDiff(int x, int y)	Returns the local score difference of the graph.
default double	localScoreDiff(int x, int y, int[] z)	Returns the score difference of the graph.
String	toString()	A string representation of the score.

Method Details

localScore

double localScore(int node,
 int... parents)

The score of a node given its parents.

Parameters:

node - The node.

parents - The parents.

Returns:

The score.

getVariables

List<Node> getVariables()

The variables of the score.

Returns:

This list.

getSampleSize

int getSampleSize()

The sample size of the data.

Returns:

This size.

toString

String toString()

A string representation of the score.

Overrides:

toString in class Object

Returns:

This string.

localScoreDiff

default double localScoreDiff(int x,
 int y,
 int[] z)
                       throws InterruptedException

Returns the score difference of the graph.

Parameters:

x - A node.

y - TAhe node.

z - A set of nodes.

Returns:

The score difference.

Throws:

InterruptedException

append

default int[] append(int[] parents,
 int extra)

Appends an extra int to a list of ints.

Parameters:

parents - The list of ints.

extra - The extra int.

Returns:

The new list of ints.

localScoreDiff

default double localScoreDiff(int x,
 int y)

Returns the local score difference of the graph.

Parameters:

x - A node.

y - The node.

Returns:

The local score difference.

localScore

default double localScore(int node,
 int parent)

Returns the local score of the graph.

Parameters:

node - A node.

parent - A parent.

Returns:

The local score.

localScore

default double localScore(int node)

Returns the local score of the gien node in the graph.

Parameters:

node - A node.

Returns:

The local score.

getVariable

default Node getVariable(String targetName)

Returns the variable with the given name.

Parameters:

targetName - The name.

Returns:

The variable.

isEffectEdge

default boolean isEffectEdge(double bump)

Returns true iff the edge between x and y is an effect edge.

Parameters:

bump - The bump.

Returns:

True iff the edge between x and y is an effect edge.

getMaxDegree

default int getMaxDegree()

Returns the max degree, by default 1000.

Returns:

The max degree.

determines

default boolean determines(List<Node> z,
 Node y)

Returns true iff the score determines the edge between x and y.

Parameters:

z - The set of nodes.

y - The node.

Returns:

True iff the score determines the edge between x and y.