Model

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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. def clone(): AnyRef

   

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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

   

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10. def hashCode(): Int

    

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11. final def isInstanceOf[T0]: Boolean

    

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12. def loadCheckpoint(prefix: String, epoch: Int): (Symbol, Map[String, NDArray], Map[String, NDArray])

    

    Load model checkpoint from file.

    Load model checkpoint from file.

    prefix

    Prefix of model name.

    epoch

    Epoch number of model we would like to load.

    returns

    symbol : The symbol configuration of computation network. argParams : Model parameter, dict of name to NDArray of net's weights. auxParams : Model parameter, dict of name to NDArray of net's auxiliary states.

    Note

    - symbol will be loaded from prefix-symbol.json. - parameters will be loaded from prefix-epoch.params.

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

    

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14. final def notify(): Unit

    

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15. final def notifyAll(): Unit

    

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16. def saveCheckpoint(prefix: String, epoch: Int, symbol: Symbol, argParams: Map[String, NDArray], auxParams: Map[String, NDArray]): Unit

    

    Checkpoint the model data into file.

    Checkpoint the model data into file.

    prefix

    Prefix of model name.

    epoch

    The epoch number of the model.

    symbol

    The input symbol

    argParams

    Model parameter, dict of name to NDArray of net's weights.

    auxParams

    Model parameter, dict of name to NDArray of net's auxiliary states.

    Note

    - prefix-symbol.json will be saved for symbol. - prefix-epoch.params will be saved for parameters.

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

    

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18. def toString(): String

    

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19. final def wait(): Unit

    

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

    

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

    

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