Class

com.enriquegrodrigo.spark.crowd.types

CGladModel

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class CGladModel extends Model[BinarySoftLabel]

CGlad model returned by the CGlad method

Version

0.2.1

Linear Supertypes
Model[BinarySoftLabel], AnyRef, Any
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Visibility
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Instance Constructors

  1. new CGladModel(mu: Dataset[BinarySoftLabel], prec: Array[Double], diffic: Array[Double], clusters: Dataset[ExampleCluster], ranks: Dataset[ExampleRanks])

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    mu

    label estimation returned from the model.

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. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    protected[java.lang]
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    @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
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  11. def getClusterDifficulty(): Array[Double]

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    Method that returns information about difficulty for each cluster

    Method that returns information about difficulty for each cluster

    returns

    Double

    Version

    0.2.1

  12. def getClusters(): Dataset[ExampleCluster]

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    Method that returns information about clusters

    Method that returns information about clusters

    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
    CGladModel → Model
    Version

    0.1

  14. def getRankData(): Dataset[ExampleRanks]

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    Method that returns information about ranks

    Method that returns information about ranks

    returns

    Double

    Version

    0.2.1

  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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Inherited from Model[BinarySoftLabel]

Inherited from AnyRef

Inherited from Any

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