edu.knowitall.ollie.confidence

OllieConfidenceFunction

object OllieConfidenceFunction

An implementation of logistic regression of features that can be represented as a double.

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Type Members

  1. type OllieIndependentConfFunction = LogisticRegression[OllieExtractionInstance]

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  8. val defaultModelUrl: URL

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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  12. def fromUrl(featureSet: FeatureSet[OllieExtractionInstance, Double], url: URL): OllieIndependentConfFunction

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. def loadDefaultClassifier(): OllieIndependentConfFunction

  17. val logger: Logger

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

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  22. def toString(): String

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  23. final def wait(): Unit

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

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

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