com.intel.analytics.bigdl.optim

Validator

abstract class Validator[T, D] extends AnyRef

Validator is an abstract class which is used to test a model automatically with some certain validation methods such as Top1Accuracy, as an argument of its test method.

T

numeric type, which can be Float or Double

D

the type of elements in DataSet, such as MiniBatch

Linear Supertypes
AnyRef, Any
Known Subclasses
DistriValidator, LocalValidator
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Instance Constructors

  1. new Validator(model: Module[T], dataSet: DataSet[D])

    model

    the model to be validated

    dataSet

    the data set used to validate a model

Abstract Value Members

  1. abstract def test(vMethods: Array[ValidationMethod[T]]): Array[(ValidationResult, ValidationMethod[T])]

Concrete 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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  7. def clone(): AnyRef

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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  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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  19. final def wait(): Unit

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

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

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