Class

com.enriquegrodrigo.spark.crowd.types

GladModel

Related Doc: package types

Permalink

class GladModel extends Model[BinarySoftLabel]

Glad model returned by the Glad method

Version

0.1

Linear Supertypes
Model[BinarySoftLabel], AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. GladModel
  2. Model
  3. AnyRef
  4. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

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

    Permalink

    mu

    label estimation returned from the model.

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  5. def clone(): AnyRef

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

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

    Permalink
    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

  8. def finalize(): Unit

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

  9. def getAnnotatorPrecision(): Array[Double]

    Permalink

    Method that returns the annotator precision information

    Method that returns the annotator precision information

    returns

    Double

    Version

    0.1

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

    Permalink
    Definition Classes
    AnyRef → Any

  11. def getInstanceDifficulty(): Dataset[GladInstanceDifficulty]

    Permalink

    Method that returns information about instance difficulty

    Method that returns information about instance difficulty

    returns

    Double

    Version

    0.1

  12. def getMu(): Dataset[BinarySoftLabel]

    Permalink

    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

  13. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any

  14. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

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

    Permalink
    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

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

    Permalink
    Definition Classes
    AnyRef

  19. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any

  20. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Model[BinarySoftLabel]

Inherited from AnyRef

Inherited from Any

Ungrouped