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.  var additionalLocalInitOps: Set[ops.UntypedOp]

   Attributes

   protected

5.  var allTrainChiefOnlyHooks: Set[Hook]

   Attributes

   protected

6.  var allTrainHooks: Set[Hook]

   Attributes

   protected

7.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

8.  def checkpointConfig: CheckpointConfig

   Definition Classes

   Estimator

9.  def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @native() @throws( ... )

10.  val configuration: Configuration

    Definition Classes

    Estimator

11.  val configurationBase: Configuration

    Attributes

    protected

    Definition Classes

    InMemoryEstimator → Estimator

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

    Definition Classes

    Estimator

13.  final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

14.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

15.  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]]

    Definition Classes

    InMemoryEstimator → Estimator

    Annotations

    @throws( ... )

16.  val evaluateHooks: Set[Hook]
17.  val evaluationMetrics: Seq[Metric[EvalIn, ops.Output[Float]]]
18.  val evaluationOps: EvalOps[TrainIn, Out]

    Attributes

    protected

19.  val evaluationUpdateOps: ops.Op[Unit, Unit]

    Attributes

    protected

20.  def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

21.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

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

    Attributes

    protected

    Definition Classes

    Estimator

23.  val globalStep: ops.variables.Variable[Long]

    Attributes

    protected

24.  val graph: core.Graph

    Attributes

    protected

25.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

26.  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

    InMemoryEstimator → Estimator

27.  val inferHooks: Set[Hook]
28.  val inferenceOps: InferOps[In, Out]

    Attributes

    protected

29.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

30.  def localInitFunction(session: core.client.Session, builtSessionScaffold: BuiltSessionScaffold): Unit

    Attributes

    protected

31.  val model: TrainableModel[In, TrainIn, Out, TrainOut, Loss, EvalIn]

    Attributes

    protected

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

    Attributes

    protected

    Definition Classes

    InMemoryEstimator → Estimator

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

    Definition Classes

    AnyRef

34.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

35.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

36.  def randomSeed: Option[Int]

    Definition Classes

    Estimator

37.  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

38.  val session: MonitoredSession

    Attributes

    protected

39.  def sessionConfig: Option[SessionConfig]

    Definition Classes

    Estimator

40.  val stopCriteria: StopCriteria
41.  val stopHook: Stopper

    Attributes

    protected

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

    Definition Classes

    AnyRef

43.  val tensorBoardConfig: TensorBoardConfig
44.  def toString(): String

    Definition Classes

    AnyRef → Any

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

    Definition Classes

    InMemoryEstimator → Estimator

46.  val trainChiefOnlyHooks: Set[Hook]
47.  val trainHooks: Set[Hook]
48.  val trainingOps: TrainOps[TrainIn, TrainOut, Loss]

    Attributes

    protected

49.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

51.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @native() @throws( ... )

52.  def workingDir: Option[Path]

    Definition Classes

    Estimator