object Estimator
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Type Members
- class ModelFunction[In, TrainIn, Out, TrainOut, Loss, EvalIn] extends AnyRef
- 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
- trait SupportedInferInput[In, InV, OutV, InferIn, InferOut] extends AnyRef
- case class UnsupervisedModelFunction[In, Out, Loss](function: (Configuration) => UnsupervisedTrainableModel[In, Out, Loss]) extends ModelFunction[In, In, Out, Out, Loss, Out] with Product with Serializable
Value Members
- final def !=(arg0: Any): Boolean
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- protected[lang]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- final def getClass(): Class[_ <: AnyRef]
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- def getReplicaDeviceSetter(configuration: Configuration): Option[ReplicaDevicePlacer]
- def hashCode(): Int
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- final def isInstanceOf[T0]: Boolean
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- def monitoredTrainingSession(configuration: Configuration = Configuration(), hooks: Set[Hook] = Set.empty, chiefOnlyHooks: Set[Hook] = Set.empty, sessionScaffold: SessionScaffold = SessionScaffold()): MonitoredSession
- final def ne(arg0: AnyRef): Boolean
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- final def notify(): Unit
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- final def notifyAll(): Unit
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- final def synchronized[T0](arg0: => T0): T0
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- def toString(): String
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- final def wait(arg0: Long, arg1: Int): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
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- final def wait(): Unit
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- object SupportedInferInput