Class

net.sansa_stack.ml.spark.classification.TDTInducer

TDTInducer

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class TDTInducer extends AnyRef

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Instance Constructors

  1. new TDTInducer(kb: KB, nConcepts: Int, 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. var cl: TDTClassifiers

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  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. final def isInstanceOf[T0]: Boolean

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  13. var kb: KB

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  14. var nConcepts: Int

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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 splitting(trainingExs: RDD[OWLIndividual], classifications: Array[Array[Int]], c: Int): (RDD[String], RDD[String], RDD[String])

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

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  21. def test(f: Int, testExs: RDD[OWLIndividual], testConcepts: Array[OWLClassExpression]): Array[Array[Int]]

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  22. def toString(): String

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  23. def training(results: Array[Array[Int]], trainingExs: RDD[OWLIndividual], testConcepts: Array[OWLClassExpression], negTestConcepts: Array[OWLClassExpression]): Unit

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    Function for training the algorithm

  24. var trees: Array[DLTree]

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  25. final def wait(): Unit

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

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

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