Packages

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

Linear Supertypes
Estimator[In, TrainIn, Out, TrainOut, Loss, EvalIn], AnyRef, Any
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Inherited
  1. FileBasedEstimator
  2. Estimator
  3. AnyRef
  4. Any
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Visibility
  1. Public
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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[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  7. val configuration: Configuration
    Definition Classes
    Estimator
  8. val configurationBase: Configuration
    Attributes
    protected
    Definition Classes
    FileBasedEstimatorEstimator
  9. val deviceFunction: Option[(OpSpecification) => String]
    Definition Classes
    Estimator
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  12. def evaluate[TrainInD, TrainInS](data: () => Dataset[TrainIn], metrics: Seq[Metric[EvalIn, ops.Output[Float]]] = this.evaluationMetrics, maxSteps: Long = -1L, saveSummaries: Boolean = true, name: String = null)(implicit evOutputToDataType: Aux[TrainIn, TrainInD], evOutputToShape: Aux[TrainIn, TrainInS]): Seq[tensors.Tensor[Float]]
    Definition Classes
    FileBasedEstimatorEstimator
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  13. val evaluateHooks: Set[Hook]
  14. def evaluateWithHooks[TrainInD, TrainInS](data: () => Dataset[TrainIn], metrics: Seq[Metric[EvalIn, ops.Output[Float]]] = this.evaluationMetrics, maxSteps: Long = -1L, hooks: Set[Hook] = evaluateHooks, checkpointPath: Path = null, saveSummaries: Boolean = true, name: String = null)(implicit evOutputToDataType: Aux[TrainIn, TrainInD], evOutputToShape: Aux[TrainIn, TrainInS]): Seq[tensors.Tensor[Float]]
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.CheckpointNotFoundException]) @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  15. val evaluationMetrics: Seq[Metric[EvalIn, ops.Output[Float]]]
  16. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  17. def getOrCreateSaver(): Option[Saver]
    Attributes
    protected
    Definition Classes
    Estimator
  18. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  19. def infer[InV, InD, InS, OutV, OutD, OutS, InferIn, InferOut](input: () => InferIn)(implicit evOutputToDataTypeIn: Aux[In, InD], evOutputToDataTypeOut: Aux[Out, OutD], evOutputToShapeIn: Aux[In, InS], evOutputToShapeOut: Aux[Out, OutS], evOutputToTensorIn: Aux[In, InV], evOutputToTensorOut: Aux[Out, OutV], ev: SupportedInferInput[In, InV, OutV, InferIn, InferOut], evOutputToTensorInOut: Aux[(In, Out), (InV, OutV)]): InferOut
    Definition Classes
    FileBasedEstimatorEstimator
  20. val inferHooks: Set[Hook]
  21. def inferWithHooks[InV, InD, InS, OutV, OutD, OutS, InferIn, InferOut](input: () => InferIn, hooks: Set[Hook] = inferHooks, checkpointPath: Path = null)(implicit evOutputToDataTypeIn: Aux[In, InD], evOutputToDataTypeOut: Aux[Out, OutD], evOutputToShapeIn: Aux[In, InS], evOutputToShapeOut: Aux[Out, OutS], evOutputToTensorIn: Aux[In, InV], evOutputToTensorOut: Aux[Out, OutV], ev: SupportedInferInput[In, InV, OutV, InferIn, InferOut], evOutputToTensorInOut: Aux[(In, Out), (InV, OutV)]): InferOut
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.CheckpointNotFoundException])
  22. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  23. val modelFunction: ModelFunction[In, TrainIn, Out, TrainOut, Loss, EvalIn]
    Attributes
    protected
    Definition Classes
    FileBasedEstimatorEstimator
  24. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  25. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  26. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  27. def randomSeed: Option[Int]
    Definition Classes
    Estimator
  28. def saveEvaluationSummaries(step: Long, metrics: Seq[Metric[EvalIn, ops.Output[Float]]], metricValues: Seq[tensors.Tensor[Float]], name: String = null): Unit
    Attributes
    protected
    Definition Classes
    Estimator
  29. def sessionConfig: Option[SessionConfig]
    Definition Classes
    Estimator
  30. val stopCriteria: StopCriteria
  31. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  32. val tensorBoardConfig: TensorBoardConfig
  33. def toString(): String
    Definition Classes
    AnyRef → Any
  34. def train[TrainInD, TrainInS](data: () => Dataset[TrainIn], stopCriteria: StopCriteria = this.stopCriteria)(implicit evOutputToDataType: Aux[TrainIn, TrainInD], evOutputToShape: Aux[TrainIn, TrainInS]): Unit
    Definition Classes
    FileBasedEstimatorEstimator
  35. val trainChiefOnlyHooks: Set[Hook]
  36. val trainHooks: Set[Hook]
  37. def trainWithHooks[TrainInD, TrainInS](data: () => Dataset[TrainIn], stopCriteria: StopCriteria = this.stopCriteria, hooks: Set[Hook] = trainHooks, chiefOnlyHooks: Set[Hook] = trainChiefOnlyHooks, tensorBoardConfig: TensorBoardConfig = this.tensorBoardConfig)(implicit evOutputToDataType: Aux[TrainIn, TrainInD], evOutputToShape: Aux[TrainIn, TrainInS]): Unit
  38. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  39. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  40. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  41. def workingDir: Option[Path]
    Definition Classes
    Estimator

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated @deprecated
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

Inherited from Estimator[In, TrainIn, Out, TrainOut, Loss, EvalIn]

Inherited from AnyRef

Inherited from Any

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