Class

com.intel.analytics.bigdl.models.inception.Options

TrainParams

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case class TrainParams(folder: String = "./", checkpoint: Option[String] = None, modelSnapshot: Option[String] = None, stateSnapshot: Option[String] = None, classNumber: Int = 1000, batchSize: Int = 1, learningRate: Double = 0.01, env: String = "local", overWriteCheckpoint: Boolean = false, maxEpoch: Option[Int] = None, maxIteration: Int = 62000, weightDecay: Double = 0.0001, checkpointIteration: Int = 620, graphModel: Boolean = false, maxLr: Option[Double] = None, warmupEpoch: Option[Int] = None, gradientL2NormThreshold: Option[Double] = None, gradientMin: Option[Double] = None, gradientMax: Option[Double] = None, 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, classNumber: Int = 1000, batchSize: Int = 1, learningRate: Double = 0.01, env: String = "local", overWriteCheckpoint: Boolean = false, maxEpoch: Option[Int] = None, maxIteration: Int = 62000, weightDecay: Double = 0.0001, checkpointIteration: Int = 620, graphModel: Boolean = false, maxLr: Option[Double] = None, warmupEpoch: Option[Int] = None, gradientL2NormThreshold: Option[Double] = None, gradientMin: Option[Double] = None, gradientMax: Option[Double] = None, 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. val checkpointIteration: Int

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  8. val classNumber: Int

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  9. def clone(): AnyRef

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  10. val env: String

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

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  12. def finalize(): Unit

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  13. val folder: String

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

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  15. val gradientL2NormThreshold: Option[Double]

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  16. val gradientMax: Option[Double]

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  17. val gradientMin: Option[Double]

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  18. val graphModel: Boolean

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  19. final def isInstanceOf[T0]: Boolean

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  20. val learningRate: Double

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  21. val maxEpoch: Option[Int]

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  22. val maxIteration: Int

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  23. val maxLr: Option[Double]

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  24. val modelSnapshot: Option[String]

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

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  26. final def notify(): Unit

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  27. final def notifyAll(): Unit

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  28. val optimizerVersion: Option[String]

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  29. val overWriteCheckpoint: Boolean

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  30. val stateSnapshot: Option[String]

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

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  32. final def wait(): Unit

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

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

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  35. val warmupEpoch: Option[Int]

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  36. val weightDecay: Double

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