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object Estimator

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Type Members

  1. class ModelFunction[In, TrainIn, Out, TrainOut, Loss, EvalIn] extends AnyRef
  2. case class SupervisedModelFunction[In, TrainIn, Out, TrainOut, Loss](function: (Configuration) ⇒ SupervisedTrainableModel[In, TrainIn, Out, TrainOut, Loss]) extends ModelFunction[In, (In, TrainIn), Out, TrainOut, Loss, (Out, (In, TrainIn))] with Product with Serializable
  3. trait SupportedInferInput[In, InV, OutV, InferIn, InferOut] extends AnyRef
  4. case class UnsupervisedModelFunction[In, Out, Loss](function: (Configuration) ⇒ UnsupervisedTrainableModel[In, Out, Loss]) extends ModelFunction[In, In, Out, Out, Loss, Out] with Product with Serializable

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(arg0: Any): Boolean
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  8. def finalize(): Unit
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  9. final def getClass(): Class[_]
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  10. def getReplicaDeviceSetter(configuration: Configuration): Option[ReplicaDevicePlacer]
  11. def hashCode(): Int
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  12. final def isInstanceOf[T0]: Boolean
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  13. def monitoredTrainingSession(configuration: Configuration = Configuration(), hooks: Set[Hook] = Set.empty, chiefOnlyHooks: Set[Hook] = Set.empty, sessionScaffold: SessionScaffold = SessionScaffold()): MonitoredSession
  14. final def ne(arg0: AnyRef): Boolean
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  15. final def notify(): Unit
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  16. final def notifyAll(): Unit
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  17. final def synchronized[T0](arg0: ⇒ T0): T0
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  18. def toString(): String
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  19. final def wait(): Unit
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  20. final def wait(arg0: Long, arg1: Int): Unit
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  21. final def wait(arg0: Long): Unit
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  22. object SupportedInferInput

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