Class

net.sansa_stack.inference.spark.forwardchaining

ForwardRuleReasonerOptimizedNative

Related Doc: package forwardchaining

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class ForwardRuleReasonerOptimizedNative extends ForwardRuleReasonerOptimized[RDD[RDFTriple], RDFGraphNative]

An optimized implementation of the forward chaining based reasoner using Spark data structures and operations.

Linear Supertypes
ForwardRuleReasonerOptimized[RDD[RDFTriple], RDFGraphNative], AbstractForwardRuleReasoner[RDD[RDFTriple], RDFGraphNative], AnyRef, Any
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  1. ForwardRuleReasonerOptimizedNative
  2. ForwardRuleReasonerOptimized
  3. AbstractForwardRuleReasoner
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Instance Constructors

  1. new ForwardRuleReasonerOptimizedNative(sparkSession: SparkSession, rules: Set[Rule])

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
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  4. def apply(graph: RDFGraphNative): RDFGraphNative

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    Applies forward chaining to the given RDF graph and returns a new RDF graph that contains all additional triples based on the underlying set of rules.

    Applies forward chaining to the given RDF graph and returns a new RDF graph that contains all additional triples based on the underlying set of rules.

    graph

    the RDF graph

    returns

    the materialized RDF graph

    Definition Classes
    ForwardRuleReasonerOptimized → AbstractForwardRuleReasoner

  5. def applyRule(rule: Rule, graph: RDFGraphNative): RDFGraphNative

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    Apply a single rule on the given graph.

    Apply a single rule on the given graph.

    rule

    the rule

    graph

    the graph

    Definition Classes
    ForwardRuleReasonerOptimized

  6. def applyRules(rules: Seq[Rule], graph: RDFGraphNative): RDFGraphNative

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    Apply the set of rules on the given graph by doing fix-point iteration.

    Apply the set of rules on the given graph by doing fix-point iteration.

    rules

    the rules

    graph

    the graph

    Definition Classes
    ForwardRuleReasonerOptimized

  7. def applyRulesOnce(rules: Seq[Rule], graph: RDFGraphNative): RDFGraphNative

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    Apply the set of rules on the given graph once.

    Apply the set of rules on the given graph once.

    rules

    the rules

    graph

    the graph

    Definition Classes
    ForwardRuleReasonerOptimized

  8. final def asInstanceOf[T0]: T0

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  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )

  10. var countCnt: Int

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    Definition Classes
    ForwardRuleReasonerOptimized

  11. var distinctCnt: Int

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    Definition Classes
    ForwardRuleReasonerOptimized

  12. final def eq(arg0: AnyRef): Boolean

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    AnyRef

  13. def equals(arg0: Any): Boolean

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  14. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  15. final def getClass(): Class[_]

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  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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  18. final def ne(arg0: AnyRef): Boolean

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def reset(): Unit

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    Definition Classes
    ForwardRuleReasonerOptimized

  22. var ruleExecutionCnt: Int

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    Definition Classes
    ForwardRuleReasonerOptimized

  23. def showExecutionStats(): Unit

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    Definition Classes
    ForwardRuleReasonerOptimized

  24. final def synchronized[T0](arg0: ⇒ T0): T0

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  25. def toString(): String

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  26. var unionCnt: Int

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    Definition Classes
    ForwardRuleReasonerOptimized

  27. final def wait(): Unit

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    @throws( ... )

  28. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )

  29. final def wait(arg0: Long): Unit

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    Definition Classes
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    @throws( ... )

Inherited from ForwardRuleReasonerOptimized[RDD[RDFTriple], RDFGraphNative]

Inherited from AbstractForwardRuleReasoner[RDD[RDFTriple], RDFGraphNative]

Inherited from AnyRef

Inherited from Any

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