case class MultiStep(stepSizes: Array[Int], gamma: Double) extends LearningRateSchedule with Product with Serializable
similar to step but it allows non uniform steps defined by stepSizes
- stepSizes
the series of step sizes used for lr decay
- gamma
coefficient of decay
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new
MultiStep(stepSizes: Array[Int], gamma: Double)
- stepSizes
the series of step sizes used for lr decay
- gamma
coefficient of decay
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val
currentRate: Double
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- val gamma: Double
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- val stepSizes: Array[Int]
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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.
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- MultiStep → LearningRateSchedule
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def
updateHyperParameter(config: Table, state: Table): Unit
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