FileBasedEstimator

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

   

   Definition Classes

   Estimator

6. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

7. val configuration: Configuration

   

   Definition Classes

   Estimator

8. val configurationBase: Configuration

   

   Attributes

   protected

   Definition Classes

   FileBasedEstimator → Estimator

9. val deviceFunction: Option[(OpSpecification) ⇒ String]

   

   Definition Classes

   Estimator

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

    

    Definition Classes

    AnyRef

11. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

12. def evaluate(data: () ⇒ Dataset[TT, TO, TD, TS], metrics: Seq[Metric[EI, ops.Output]] = this.evaluationMetrics, maxSteps: Long = 1L, saveSummaries: Boolean = true, name: String = null): Seq[tensors.Tensor]

    

    Definition Classes

    FileBasedEstimator → Estimator

    Annotations

    @throws( ... )

13. val evaluateHooks: Set[Hook]

    

14. def evaluateWithHooks(data: () ⇒ Dataset[TT, TO, TD, TS], metrics: Seq[Metric[EI, ops.Output]] = this.evaluationMetrics, maxSteps: Long = 1L, hooks: Set[Hook] = evaluateHooks, checkpointPath: Path = null, saveSummaries: Boolean = true, name: String = null): Seq[tensors.Tensor]

    

    Annotations

    @throws( ... ) @throws( ... )

15. val evaluationMetrics: Seq[Metric[EI, ops.Output]]

    

16. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnyRef → Any

18. def getOrCreateSaver(): Option[Saver]

    

    Attributes

    protected

    Definition Classes

    Estimator

19. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

20. def infer[InferInput, InferOutput, ModelInferenceOutput](input: () ⇒ InferInput)(implicit evFetchableIO: Aux[IO, IT], evFetchableI: Aux[I, ModelInferenceOutput], evFetchableIIO: Aux[(IO, I), (IT, ModelInferenceOutput)], ev: SupportedInferInput[InferInput, InferOutput, IT, IO, ID, IS, ModelInferenceOutput]): InferOutput

    

    Definition Classes

    FileBasedEstimator → Estimator

21. val inferHooks: Set[Hook]

    

22. def inferWithHooks[InferInput, InferOutput, ModelInferenceOutput](input: () ⇒ InferInput, hooks: Set[Hook] = inferHooks, checkpointPath: Path = null)(implicit evFetchableIO: Aux[IO, IT], evFetchableI: Aux[I, ModelInferenceOutput], evFetchableIIO: Aux[(IO, I), (IT, ModelInferenceOutput)], ev: SupportedInferInput[InferInput, InferOutput, IT, IO, ID, IS, ModelInferenceOutput]): InferOutput

    

    Annotations

    @throws( ... )

23. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

24. val modelFunction: ModelFunction[IT, IO, ID, IS, I, TT, TO, TD, TS, EI]

    

    Attributes

    protected

    Definition Classes

    FileBasedEstimator → Estimator

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

    

    Definition Classes

    AnyRef

26. final def notify(): Unit

    

    Definition Classes

    AnyRef

27. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

28. def randomSeed: Option[Int]

    

    Definition Classes

    Estimator

29. def saveEvaluationSummaries(step: Long, metrics: Seq[Metric[EI, ops.Output]], metricValues: Seq[tensors.Tensor], name: String = null): Unit

    

    Attributes

    protected

    Definition Classes

    Estimator

30. def sessionConfig: Option[SessionConfig]

    

    Definition Classes

    Estimator

31. val stopCriteria: StopCriteria

    

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

    

    Definition Classes

    AnyRef

33. val tensorBoardConfig: TensorBoardConfig

    

34. def toString(): String

    

    Definition Classes

    AnyRef → Any

35. def train(data: () ⇒ Dataset[TT, TO, TD, TS], stopCriteria: StopCriteria = this.stopCriteria): Unit

    

    Definition Classes

    FileBasedEstimator → Estimator

36. val trainChiefOnlyHooks: Set[Hook]

    

37. val trainHooks: Set[Hook]

    

38. def trainWithHooks(data: () ⇒ Dataset[TT, TO, TD, TS], stopCriteria: StopCriteria = this.stopCriteria, hooks: Set[Hook] = trainHooks, chiefOnlyHooks: Set[Hook] = trainChiefOnlyHooks, tensorBoardConfig: TensorBoardConfig = this.tensorBoardConfig): Unit

    

39. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

42. def workingDir: Option[Path]

    

    Definition Classes

    Estimator