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abstract class Estimator[In, TrainIn, Out, TrainOut, Loss, EvalIn] extends AnyRef

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AnyRef, Any
Known Subclasses
FileBasedEstimator, InMemoryEstimator
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Abstract Value Members

  1. abstract def evaluate[TrainInD, TrainInS](data: () ⇒ Dataset[TrainIn], metrics: Seq[Metric[EvalIn, ops.Output[Float]]], maxSteps: Long = -1L, saveSummaries: Boolean = true, name: String = null)(implicit evOutputToDataType: Aux[TrainIn, TrainInD], evOutputToShape: Aux[TrainIn, TrainInS]): Seq[tensors.Tensor[Float]]
    Annotations
    @throws( ... )
  2. abstract def infer[InV, InD, InS, OutV, OutD, OutS, InferIn, InferOut](input: () ⇒ InferIn)(implicit evOutputToDataTypeIn: Aux[In, InD], evOutputToDataTypeOut: Aux[Out, OutD], evOutputToShapeIn: Aux[In, InS], evOutputToShapeOut: Aux[Out, OutS], evOutputToTensorIn: Aux[In, InV], evOutputToTensorOut: Aux[Out, OutV], ev: SupportedInferInput[In, InV, OutV, InferIn, InferOut], evOutputToTensorInOut: Aux[(In, Out), (InV, OutV)]): InferOut
  3. abstract def train[TrainInD, TrainInS](data: () ⇒ Dataset[TrainIn], stopCriteria: StopCriteria = StopCriteria())(implicit evOutputToDataType: Aux[TrainIn, TrainInD], evOutputToShape: Aux[TrainIn, TrainInS]): Unit

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def checkpointConfig: CheckpointConfig
  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  7. val configuration: Configuration
  8. val configurationBase: Configuration
    Attributes
    protected
  9. val deviceFunction: Option[(OpSpecification) ⇒ String]
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
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  12. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
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    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. def getOrCreateSaver(): Option[Saver]
    Attributes
    protected
  15. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. val modelFunction: ModelFunction[In, TrainIn, Out, TrainOut, Loss, EvalIn]
    Attributes
    protected
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
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    Annotations
    @native()
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. def randomSeed: Option[Int]
  22. def saveEvaluationSummaries(step: Long, metrics: Seq[Metric[EvalIn, ops.Output[Float]]], metricValues: Seq[tensors.Tensor[Float]], name: String = null): Unit
    Attributes
    protected
  23. def sessionConfig: Option[SessionConfig]
  24. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  25. def toString(): String
    Definition Classes
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  26. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  29. def workingDir: Option[Path]

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