case class Exponential(decayStep: Int, decayRate: Double, stairCase: Boolean = false) extends LearningRateSchedule with Product with Serializable
Exponential is a learning rate schedule, which rescale the learning rate by
lr_{n + 1} = lr * decayRate ^ (iter / decayStep)
- decayStep
the inteval for lr decay
- decayRate
decay rate
- stairCase
if true, iter / decayStep is an integer division and the decayed learning rate follows a staircase function.
Linear Supertypes
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Instance Constructors
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new
Exponential(decayStep: Int, decayRate: Double, stairCase: Boolean = false)
- decayStep
the inteval for lr decay
- decayRate
decay rate
- stairCase
if true, iter / decayStep is an integer division and the decayed learning rate follows a staircase function.
Value Members
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final
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val
currentRate: Double
- Definition Classes
- LearningRateSchedule
- val decayRate: Double
- val decayStep: Int
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- val stairCase: Boolean
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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
- Exponential → LearningRateSchedule
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final
def
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Deprecated Value Members
-
def
updateHyperParameter(config: Table, state: Table): Unit
- Definition Classes
- LearningRateSchedule
- Annotations
- @deprecated
- Deprecated
(Since version 0.2.0) Please input SGD instead of Table