Class

net.sansa_stack.ml.spark.classification.TDTClassifiers

TDTClassifiers

Related Doc: package TDTClassifiers

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class TDTClassifiers extends AnyRef

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Instance Constructors

  1. new TDTClassifiers(k: KB, sc: SparkSession)

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Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def classify(ind: OWLIndividual, tree: DLTree): Int

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    recursive down through the tree model

  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. def induceDLTree(father: OWLClassExpression, posExs: RDD[String], negExs: RDD[String], undExs: RDD[String], nRefs: Int, prPos: Double, prNeg: Double): DLTree

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    TDT induction algorithm implementation

    TDT induction algorithm implementation

    father

    father concept

    posExs

    positive examples

    negExs

    negative examples

    undExs

    unlabeled examples

  13. final def isInstanceOf[T0]: Boolean

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  14. var k: KB

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. var sc: SparkSession

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  19. def selectBestConcept(know: KB, concepts: RDD[OWLClassExpression], posExs: RDD[String], negExs: RDD[String], undExs: RDD[String], prPos: Double, prNeg: Double): OWLClassExpression

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    Selecting the best in a list (RDD) of refinements

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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