Estimator

Type Members

class ModelFunction[IT, IO, ID, IS, I, TT, TO, TD, TS, EI] extends AnyRef
case class SupervisedModelFunction[IT, IO, ID, IS, I, TT, TO, TD, TS, T](function: (Configuration) ⇒ SupervisedTrainableModel[IT, IO, ID, IS, I, TT, TO, TD, TS, T]) extends ModelFunction[IT, IO, ID, IS, I, (IT, TT), (IO, TO), (ID, TD), (IS, TS), (I, T)] with Product with Serializable
trait SupportedInferInput[InferInput, InferOutput, T, O, D, S, ModelInferenceOutput] extends AnyRef
case class UnsupervisedModelFunction[IT, IO, ID, IS, I](function: (Configuration) ⇒ UnsupervisedTrainableModel[IT, IO, ID, IS, I]) extends ModelFunction[IT, IO, ID, IS, I, IT, IO, ID, IS, I] with Product with Serializable

Value Members

final def !=(arg0: Any): Boolean

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final def ##(): Int

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final def ==(arg0: Any): Boolean

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object SupportedInferInput
final def asInstanceOf[T0]: T0

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def clone(): AnyRef

Attributes
protected[java.lang]
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@throws( ... )
final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

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def finalize(): Unit

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protected[java.lang]
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@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

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def getReplicaDeviceSetter(configuration: Configuration): Option[ReplicaDevicePlacer]

Creates a replica device setter, if required, to be used as a default device function.
Creates a replica device setter, if required, to be used as a default device function.
Estimators use a ReplicaDevicePlacer as a default device placer. It sets the distributed related arguments such as the number of parameter server replicas based on the provided run configuration.
configuration
Configuration.
returns
Constructed replica device placer.
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

Creates a MonitoredSession to be used for training.
Creates a MonitoredSession to be used for training.
For a chief, this utility sets proper session initializers, savers, and restorers. It also creates hooks related to checkpoint and summary saving. For workers, this utility method sets the proper session creator which waits for the chief to initialize or restore the session. Please refer to MonitoredSession for more information.
NOTE: If you provide any summary saver or checkpoint saver hooks in hooks or chiefOnlyHooks, then the checkpoint configuration in configuration will be ignored for the chief and those hooks will be used instead.
configuration
Configuration to use for this session. Contains information related to the session configuration, the cluster configuration, etc.
hooks
Hooks to use while training.
chiefOnlyHooks
Hooks to use for the chief. These will only be used if isChief is true.
sessionScaffold
Session scaffold used for gathering and/or building supportive ops. If not specified, a default one is created. The session scaffold is used to finalize the graph.
returns
Created monitored session.
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(): Unit

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@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

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final def wait(arg0: Long): Unit

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@throws( ... )

Related Docs: class Estimator | package estimators

object Estimator

Type Members

class ModelFunction[IT, IO, ID, IS, I, TT, TO, TD, TS, EI] extends AnyRef

case class SupervisedModelFunction[IT, IO, ID, IS, I, TT, TO, TD, TS, T](function: (Configuration) ⇒ SupervisedTrainableModel[IT, IO, ID, IS, I, TT, TO, TD, TS, T]) extends ModelFunction[IT, IO, ID, IS, I, (IT, TT), (IO, TO), (ID, TD), (IS, TS), (I, T)] with Product with Serializable

trait SupportedInferInput[InferInput, InferOutput, T, O, D, S, ModelInferenceOutput] extends AnyRef

case class UnsupervisedModelFunction[IT, IO, ID, IS, I](function: (Configuration) ⇒ UnsupervisedTrainableModel[IT, IO, ID, IS, I]) extends ModelFunction[IT, IO, ID, IS, I, IT, IO, ID, IS, I] with Product with Serializable

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

object SupportedInferInput

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def getReplicaDeviceSetter(configuration: Configuration): Option[ReplicaDevicePlacer]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

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

final def notify(): Unit

final def notifyAll(): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

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Inherited from Any

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