Class

com.enriquegrodrigo.spark.crowd.types

GladModel

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class GladModel extends Model[BinarySoftLabel]

Glad model returned by the Glad method

Version

0.1

Linear Supertypes
Model[BinarySoftLabel], AnyRef, Any
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  1. GladModel
  2. Model
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Visibility
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Instance Constructors

  1. new GladModel(mu: Dataset[BinarySoftLabel], prec: Array[Double], diffic: Dataset[GladInstanceDifficulty], logLikelihood: Double)

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    mu

    label estimation returned from the model.

    logLikelihood

    logLikelihood of the final estimation of the model.

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

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

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  4. final def asInstanceOf[T0]: T0

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    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    AnyRef

  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  9. def getAnnotatorPrecision(): Array[Double]

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    Method that returns the annotator precision information

    Method that returns the annotator precision information

    returns

    Double

    Version

    0.1

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

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    Definition Classes
    AnyRef → Any

  11. def getInstanceDifficulty(): Dataset[GladInstanceDifficulty]

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    Method that returns information about instance difficulty

    Method that returns information about instance difficulty

    returns

    Double

    Version

    0.1

  12. def getLogLikelihood(): Double

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    Method that returns the likelihood of the model

    Method that returns the likelihood of the model

    returns

    Double

    Version

    0.1

  13. def getMu(): Dataset[BinarySoftLabel]

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    Method that returns the probabilistic estimation of the true label

    Method that returns the probabilistic estimation of the true label

    returns

    org.apache.spark.sql.Dataset

    Definition Classes
    GladModel → Model
    Version

    0.1

  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

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    Any

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

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    AnyRef

  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  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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    @throws( ... )

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

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

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Inherited from Model[BinarySoftLabel]

Inherited from AnyRef

Inherited from Any

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