InductiveClassifier

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. val alg: A

   

   an underlying algorithm

5. val alphas: Seq[Seq[Double]]

   

   nonconformity scores computed from a calibration set (which is unseen to the underlying algorithm)

6. final def asInstanceOf[T0]: T0

   

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7. def clone(): AnyRef

   

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   protected[java.lang]

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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

    

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12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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14. def mondrianPv(features: Seq[Double]): IndexedSeq[Double]

    

    Given a feature sequence returns a p-value for each class.

    Given a feature sequence returns a p-value for each class.

    returns

    a sequence of p-values (one for each class)

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. def predict(features: Seq[Double], significance: Double): Set[Double]

    

    Computes a prediction set for a feature sequence.

    Computes a prediction set for a feature sequence.

    features

    a feature sequence

    significance

    a significance level bigger than 0 and smaller than 1

    returns

    prediction set

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

    

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20. def toString(): String

    

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21. final def wait(): Unit

    

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

    

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

    

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