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

   @native() @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[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

    FileBasedEstimator → Estimator

    Annotations

    @throws( ... )

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

15.  val evaluationMetrics: Seq[Metric[EvalIn, ops.Output[Float]]]
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

    Annotations

    @native()

18.  def getOrCreateSaver(): Option[Saver]

    Attributes

    protected

    Definition Classes

    Estimator

19.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

20.  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

    FileBasedEstimator → Estimator

21.  val inferHooks: Set[Hook]
22.  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( ... )

23.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

24.  val modelFunction: ModelFunction[In, TrainIn, Out, TrainOut, Loss, EvalIn]

    Attributes

    protected

    Definition Classes

    FileBasedEstimator → Estimator

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

    Definition Classes

    AnyRef

26.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

27.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

28.  def randomSeed: Option[Int]

    Definition Classes

    Estimator

29.  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

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[TrainInD, TrainInS](data: () ⇒ Dataset[TrainIn], stopCriteria: StopCriteria = this.stopCriteria)(implicit evOutputToDataType: Aux[TrainIn, TrainInD], evOutputToShape: Aux[TrainIn, TrainInS]): Unit

    Definition Classes

    FileBasedEstimator → Estimator

36.  val trainChiefOnlyHooks: Set[Hook]
37.  val trainHooks: Set[Hook]
38.  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
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

    @native() @throws( ... )

42.  def workingDir: Option[Path]

    Definition Classes

    Estimator