breeze.sequences.CRF

Calibration

class Calibration extends AnyRef

A calibration is a class that represents the CRF being conditioned on some input.

You can get marginals and expected counts from it.

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Instance Constructors

  1. new Calibration(words: W, length: Int, forward: Array[Vector[Double]], backward: Array[Vector[Double]])

    Attributes
    protected[breeze.sequences.CRF]

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. def edgeMarginalAt(pos: Int): DenseMatrix[Double]

    Returns the edge marginal for (pos-1,pos).

    Returns the edge marginal for (pos-1,pos). pos <= length

  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. final def getClass(): Class[_]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. lazy val logPartition: Double

    returns the value of the log partition function for this sequence of words.

  16. def marginalAt(pos: Int): Vector[Double]

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def partition: Double

    returns the value of the partition function for this sequence of words.

    returns the value of the partition function for this sequence of words. This is the normalizer for the distribution.

  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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  26. val words: W

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