Package edu.cmu.tetrad.search.utils
Class GraphSearchUtils
java.lang.Object
edu.cmu.tetrad.search.utils.GraphSearchUtils
Provides some graph utilities for search algorithm.
- Version:
- $Id: $Id
- Author:
- josephramsey
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic enumGives the options for triple type for a conservative unshielded collider orientation, which may be "collider" or "noncollider" or "ambiguous". -
Method Summary
Modifier and TypeMethodDescriptionstatic voidarrangeByKnowledgeTiers(Graph graph) arrangeByKnowledgeTiers.static voidarrangeByKnowledgeTiers(Graph graph, Knowledge knowledge) arrangeByKnowledgeTiers.static voidbasicCpdag(Graph graph) Get a graph and direct only the unshielded colliders.static voidbasicCpdagRestricted2(Graph graph, Node node) basicCpdagRestricted2.getAllRows(int sampleSize) Returns a list of rows 1...sampleSize.getCpcTripleType(Node x, Node y, Node z, IndependenceTest test, int depth, Graph graph) getCpcTripleType.static StringgetEdgewiseComparisonString(String trueGraphName, Graph trueGraph, String targetGraphName, Graph targetGraph) getEdgewiseComparisonString.static GraphUtils.GraphComparisongetGraphComparison(Graph trueGraph, Graph targetGraph) Just counts arrowhead errors--for cyclic edges counts an arrowhead at each node.getReachableNodes(List<Node> initialNodes, LegalPairs legalPairs, List<Node> c, List<Node> d, Graph graph, int maxPathLength) getReachableNodes.static int[][]graphComparison(Graph trueCpdag, Graph estCpdag, PrintStream out) graphComparison.static booleanisArrowheadAllowed(Object from, Object to, Knowledge knowledge) Checks if an arrowhead is allowed by background knowledge.static booleanisLatentVariableAlgorithmByAnnotation(Algorithm algorithm) Checks if the provided algorithm is a latent variable algorithm by inspecting the associated annotation.static voidorientCollidersUsingSepsets(SepsetMap set, Knowledge knowledge, Graph graph, boolean verbose, boolean enforceCpdag) Step C of PC; orients colliders using specified sepset.static voidpcdOrientC(IndependenceTest test, Knowledge knowledge, Graph graph) Performs step C of the algorithm, as indicated on page xxx of CPS, with the modification that X--W--Y is oriented as X-->W<--Y if W is *determined by* the sepset of (X, Y), rather than W just being *in* the sepset of (X, Y).static voidpcOrientbk(Knowledge bk, Graph graph, List<Node> nodes, boolean verbose) Orients according to background knowledge.powerSet.static <T> TrunWithTimeout(Callable<T> task, long timeout, TimeUnit unit) Runs the given task with the given timeout.static intstructuralhammingdistance(Graph trueGraph, Graph estGraph, boolean useTrueCpdag) Originally, Tsamardinos, I., Brown, L.static Nodetranslate.
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Method Details
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pcOrientbk
Orients according to background knowledge. -
pcdOrientC
public static void pcdOrientC(IndependenceTest test, Knowledge knowledge, Graph graph) throws InterruptedException Performs step C of the algorithm, as indicated on page xxx of CPS, with the modification that X--W--Y is oriented as X-->W<--Y if W is *determined by* the sepset of (X, Y), rather than W just being *in* the sepset of (X, Y).- Parameters:
test- aIndependenceTestobjectknowledge- aKnowledgeobjectgraph- aGraphobject- Throws:
InterruptedException- if any.
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orientCollidersUsingSepsets
public static void orientCollidersUsingSepsets(SepsetMap set, Knowledge knowledge, Graph graph, boolean verbose, boolean enforceCpdag) Step C of PC; orients colliders using specified sepset. That is, orients x *-* y *-* z as x *-> y <-* z just in case y is in Sepset({x, z}). -
isArrowheadAllowed
Checks if an arrowhead is allowed by background knowledge. -
basicCpdag
Get a graph and direct only the unshielded colliders.- Parameters:
graph- aGraphobject
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basicCpdagRestricted2
basicCpdagRestricted2.
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arrangeByKnowledgeTiers
arrangeByKnowledgeTiers.
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arrangeByKnowledgeTiers
arrangeByKnowledgeTiers.
- Parameters:
graph- aGraphobject
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getReachableNodes
public static Set<Node> getReachableNodes(List<Node> initialNodes, LegalPairs legalPairs, List<Node> c, List<Node> d, Graph graph, int maxPathLength) getReachableNodes.
- Parameters:
initialNodes- The nodes that reachability undirectedPaths start from.legalPairs- Specifies initial edges (given initial nodes) and legal edge pairs.c- a set of vertices (intuitively, the set of variables to be conditioned on.d- a set of vertices (intuitively to be used in tests of legality, for example, the set of ancestors of c).graph- the graph with respect to which reachability ismaxPathLength- the maximum length of a path to be considered.- Returns:
- the set of nodes reachable from the given set of initial nodes in the given graph according to the
criteria in the given legal pairs object.
A variable v is reachable from initialNodes iff for some variable X in initialNodes thers is a path U [X, Y1, ..., v] such that legalPairs.isLegalFirstNode(X, Y1) and for each [H1, H2, H3] as subpaths of U, legalPairs.isLegalPairs(H1, H2, H3).
The algorithm used is a variant of Algorithm 1 from Geiger, Verma, and Pearl (1990).
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translate
translate.
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powerSet
powerSet.
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getCpcTripleType
public static GraphSearchUtils.CpcTripleType getCpcTripleType(Node x, Node y, Node z, IndependenceTest test, int depth, Graph graph) throws InterruptedException getCpcTripleType.
- Parameters:
x- aNodeobjecty- aNodeobjectz- aNodeobjecttest- aIndependenceTestobjectdepth- a intgraph- aGraphobject- Returns:
- a
GraphSearchUtils.CpcTripleTypeobject - Throws:
InterruptedException- if any.
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structuralhammingdistance
Originally, Tsamardinos, I., Brown, L. E., and Aliferis, C. F. (2006). The max-min hill-climbing Bayesian network structure learning algorithm. Machine learning, 65(1), 31-78.But using the formulation in Peters, J., & Bühlmann, P. (2015). Structural intervention distance for evaluating causal graphs. Neural computation, 27(3), 771-799.
Converts each graph (DAG or CPDAG) into its CPDAG before scoring.
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getGraphComparison
Just counts arrowhead errors--for cyclic edges counts an arrowhead at each node.- Parameters:
trueGraph- aGraphobjecttargetGraph- aGraphobject- Returns:
- a
GraphUtils.GraphComparisonobject
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getEdgewiseComparisonString
public static String getEdgewiseComparisonString(String trueGraphName, Graph trueGraph, String targetGraphName, Graph targetGraph) getEdgewiseComparisonString.
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graphComparison
graphComparison.
- Parameters:
trueCpdag- aGraphobjectestCpdag- aGraphobjectout- aPrintStreamobject- Returns:
- an array of objects
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isLatentVariableAlgorithmByAnnotation
Checks if the provided algorithm is a latent variable algorithm by inspecting the associated annotation.- Parameters:
algorithm- The algorithm to check.- Returns:
- true if the algorithm is a latent variable algorithm, false otherwise.
- Throws:
NullPointerException- if the algorithm is null.RuntimeException- if there is an error in getting the algorithm type from the annotation.
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runWithTimeout
Runs the given task with the given timeout.- Type Parameters:
T- The type of the result.- Parameters:
task- The task to run.timeout- The timeout.unit- The time unit of the timeout.- Returns:
- The result of the task, or null if the task times out.
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getAllRows
Returns a list of rows 1...sampleSize.- Parameters:
sampleSize- the number of rows in the dataset.- Returns:
- a list of rows 1...sampleSize.
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