case class Step(stepSize: Int, gamma: Double) extends LearningRateSchedule with Product with Serializable
A learning rate decay policy, where the effective learning rate
is calculated as base_lr * gamma ^ (floor(iter / stepSize))
- stepSize
the inteval for lr decay
- gamma
coefficient of decay, refer to calculation formula
Linear Supertypes
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Instance Constructors
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new
Step(stepSize: Int, gamma: Double)
- stepSize
the inteval for lr decay
- gamma
coefficient of decay, refer to calculation formula
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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val
currentRate: Double
- Definition Classes
- LearningRateSchedule
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final
def
eq(arg0: AnyRef): Boolean
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def
finalize(): Unit
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- val gamma: Double
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final
def
notifyAll(): Unit
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- val stepSize: Int
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
updateHyperParameter[T](optimMethod: SGD[T]): Unit
update learning rate by config table and state table
update learning rate by config table and state table
- optimMethod
init optiMethod.
- Definition Classes
- Step → LearningRateSchedule
-
def
updateHyperParameter(config: Table, state: Table): Unit
- Definition Classes
- Step → LearningRateSchedule
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final
def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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final
def
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