Class

com.intel.analytics.bigdl.models.autoencoder.Utils

TrainParams

Related Doc: package Utils

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case class TrainParams(folder: String = "./", checkpoint: Option[String] = None, modelSnapshot: Option[String] = None, stateSnapshot: Option[String] = None, batchSize: Int = 150, maxEpoch: Int = 10, graphModel: Boolean = false, optimizerVersion: Option[String] = None) extends Product with Serializable

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Instance Constructors

  1. new TrainParams(folder: String = "./", checkpoint: Option[String] = None, modelSnapshot: Option[String] = None, stateSnapshot: Option[String] = None, batchSize: Int = 150, maxEpoch: Int = 10, graphModel: Boolean = false, optimizerVersion: Option[String] = None)

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Value Members

  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. val batchSize: Int

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  6. val checkpoint: Option[String]

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  7. def clone(): AnyRef

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  8. final def eq(arg0: AnyRef): Boolean

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  9. def finalize(): Unit

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  10. val folder: String

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  11. final def getClass(): Class[_]

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  12. val graphModel: Boolean

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  13. final def isInstanceOf[T0]: Boolean

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  14. val maxEpoch: Int

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  15. val modelSnapshot: Option[String]

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  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. val optimizerVersion: Option[String]

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  20. val stateSnapshot: Option[String]

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

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  22. final def wait(): Unit

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

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  24. final def wait(arg0: Long): Unit

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