SGD

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. def clearHistory(state: Table): Table

   

   Clear the history information in the state

   Clear the history information in the state

   Definition Classes

   SGD → OptimMethod

6. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def finalize(): Unit

   

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   protected[java.lang]

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

    

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11. def getHyperParameter(config: Table): String

    

    return an string of current hyperParameter.

    return an string of current hyperParameter.

    config

    a table contains the hyper parameter.

    Definition Classes

    SGD → OptimMethod

12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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

    

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15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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17. def optimize(feval: (Tensor[T]) ⇒ (T, Tensor[T]), x: Tensor[T], config: Table, state: Table = null): (Tensor[T], Array[T])

    
    feval

    a function that takes a single input (X), the point of a evaluation, and returns f(X) and df/dX

    x

    the initial point

    config

    a table with configuration parameters for the optimizer learningRate: learning rate learningRateDecay: learning rate decay weightDecay: weight decay weightDecays: 1D tensor of individual weight decays momentum: momentum dampening: dampening for momentum nesterov: enables Nesterov momentum learningRates: 1D tensor of individual learning rates

    state

    a table describing the state of the optimizer; after each call the state is modified

    returns

    the new x 1D tensor and the function list, evaluated before the update

    Definition Classes

    SGD → OptimMethod

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

    

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19. def toString(): String

    

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20. def updateHyperParameter(config: Table, state: Table): Unit

    

    Update hyper parameter.

    Update hyper parameter. We have updated hyper parameter in method optimize(). But in DistriOptimizer, the method optimize() is only called on the executor side, the driver's hyper parameter is unchanged. So this method is using to update hyper parameter on the driver side.

    config

    config table.

    state

    state Table.

    returns

    A string.

    Definition Classes

    SGD → OptimMethod

21. final def wait(): Unit

    

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

    

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

    

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