c
org.platanios.tensorflow.api.learn.estimators
FileBasedEstimator
Companion object FileBasedEstimator
class FileBasedEstimator[In, TrainIn, Out, TrainOut, Loss, EvalIn] extends Estimator[In, TrainIn, Out, TrainOut, Loss, EvalIn]
Linear Supertypes
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- FileBasedEstimator
- Estimator
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- final def !=(arg0: Any): Boolean
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- final def ##: Int
- Definition Classes
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- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def checkpointConfig: CheckpointConfig
- Definition Classes
- Estimator
- def clone(): AnyRef
- Attributes
- protected[lang]
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- AnyRef
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- val configuration: Configuration
- Definition Classes
- Estimator
- val configurationBase: Configuration
- Attributes
- protected
- Definition Classes
- FileBasedEstimator → Estimator
- val deviceFunction: Option[(OpSpecification) => String]
- Definition Classes
- Estimator
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- 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(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
- val evaluateHooks: Set[Hook]
- def evaluateWithHooks[TrainInD, TrainInS](data: () => Dataset[TrainIn], metrics: Seq[Metric[EvalIn, ops.Output[Float]]] = this.evaluationMetrics, maxSteps: Long = -1L, hooks: Set[Hook] = evaluateHooks, checkpointPath: Path = null, saveSummaries: Boolean = true, name: String = null)(implicit evOutputToDataType: Aux[TrainIn, TrainInD], evOutputToShape: Aux[TrainIn, TrainInS]): Seq[tensors.Tensor[Float]]
- Annotations
- @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.CheckpointNotFoundException]) @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
- val evaluationMetrics: Seq[Metric[EvalIn, ops.Output[Float]]]
- final def getClass(): Class[_ <: AnyRef]
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- AnyRef → Any
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- @native() @HotSpotIntrinsicCandidate()
- def getOrCreateSaver(): Option[Saver]
- Attributes
- protected
- Definition Classes
- Estimator
- def hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def infer[InV, InD, InS, OutV, OutD, OutS, InferIn, InferOut](input: () => InferIn)(implicit evOutputToDataTypeIn: Aux[In, InD], evOutputToDataTypeOut: Aux[Out, OutD], evOutputToShapeIn: Aux[In, InS], evOutputToShapeOut: Aux[Out, OutS], evOutputToTensorIn: Aux[In, InV], evOutputToTensorOut: Aux[Out, OutV], ev: SupportedInferInput[In, InV, OutV, InferIn, InferOut], evOutputToTensorInOut: Aux[(In, Out), (InV, OutV)]): InferOut
- Definition Classes
- FileBasedEstimator → Estimator
- val inferHooks: Set[Hook]
- def inferWithHooks[InV, InD, InS, OutV, OutD, OutS, InferIn, InferOut](input: () => InferIn, hooks: Set[Hook] = inferHooks, checkpointPath: Path = null)(implicit evOutputToDataTypeIn: Aux[In, InD], evOutputToDataTypeOut: Aux[Out, OutD], evOutputToShapeIn: Aux[In, InS], evOutputToShapeOut: Aux[Out, OutS], evOutputToTensorIn: Aux[In, InV], evOutputToTensorOut: Aux[Out, OutV], ev: SupportedInferInput[In, InV, OutV, InferIn, InferOut], evOutputToTensorInOut: Aux[(In, Out), (InV, OutV)]): InferOut
- Annotations
- @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.CheckpointNotFoundException])
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- val modelFunction: ModelFunction[In, TrainIn, Out, TrainOut, Loss, EvalIn]
- Attributes
- protected
- Definition Classes
- FileBasedEstimator → Estimator
- final def ne(arg0: AnyRef): Boolean
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- final def notify(): Unit
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- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
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- @native() @HotSpotIntrinsicCandidate()
- def randomSeed: Option[Int]
- Definition Classes
- Estimator
- 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
- def sessionConfig: Option[SessionConfig]
- Definition Classes
- Estimator
- val stopCriteria: StopCriteria
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- val tensorBoardConfig: TensorBoardConfig
- def toString(): String
- Definition Classes
- AnyRef → Any
- 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
- val trainChiefOnlyHooks: Set[Hook]
- val trainHooks: Set[Hook]
- 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
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
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- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- def workingDir: Option[Path]
- Definition Classes
- Estimator