Class

com.intel.analytics.bigdl.optim

PrecisionRecallAUC

Related Doc: package optim

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class PrecisionRecallAUC[T] extends ValidationMethod[T]

Precision Recall Area Under Curve will compute the precision-recall pairs and get the area under the curve.

Note: It will gather all output probabilities and targets to driver and will compute the precision, recall and the auc every calling of result()

T

class tag for tensor numeric

Linear Supertypes
ValidationMethod[T], Serializable, Serializable, AnyRef, Any
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  1. PrecisionRecallAUC
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Visibility
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Instance Constructors

  1. new PrecisionRecallAUC()(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

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    ev

    tensor numeric environments

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. def apply(output: Activity, target: Activity): ValidationResult

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    Definition Classes
    PrecisionRecallAUC → ValidationMethod

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): ValidationMethod[T]

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    Definition Classes
    ValidationMethod → AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

  10. def format(): String

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    Attributes
    protected
    Definition Classes
    PrecisionRecallAUC → ValidationMethod

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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    ValidationMethod → AnyRef → Any

  19. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from ValidationMethod[T]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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