Packages

case class Yogi(parameters: Seq[(STen, PTag)], weightDecay: OptimizerHyperparameter, learningRate: OptimizerHyperparameter = simple(0.01), beta1: OptimizerHyperparameter = simple(0.9), beta2: OptimizerHyperparameter = simple(0.999), eps: Double = 1e-3, clip: Option[Double] = None, debias: Boolean = true) extends Optimizer with Product with Serializable

The Yogi optimizer algorithm I added the decoupled weight decay term following https://arxiv.org/pdf/1711.05101.pdf

See also

https://papers.nips.cc/paper/2018/file/90365351ccc7437a1309dc64e4db32a3-Paper.pdf Algorithm 2

Linear Supertypes
Serializable, Product, Equals, Optimizer, AnyRef, Any
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  1. Yogi
  2. Serializable
  3. Product
  4. Equals
  5. Optimizer
  6. AnyRef
  7. Any
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Visibility
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  2. Protected

Instance Constructors

  1. new Yogi(parameters: Seq[(STen, PTag)], weightDecay: OptimizerHyperparameter, learningRate: OptimizerHyperparameter = simple(0.01), beta1: OptimizerHyperparameter = simple(0.9), beta2: OptimizerHyperparameter = simple(0.999), eps: Double = 1e-3, clip: Option[Double] = None, debias: Boolean = true)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. val beta1: OptimizerHyperparameter
  6. val beta2: OptimizerHyperparameter
  7. val clip: Option[Double]
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @IntrinsicCandidate()
  9. val debias: Boolean
  10. val eps: Double
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @IntrinsicCandidate()
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  14. val learningRate: OptimizerHyperparameter
  15. def load(tensors: Seq[STen]): Unit
    Definition Classes
    Yogi → Optimizer
  16. val mt: List[STen]
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @IntrinsicCandidate()
  20. val parameters: Seq[(STen, PTag)]
  21. def productElementNames: Iterator[String]
    Definition Classes
    Product
  22. def release(): Unit
    Definition Classes
    Yogi → Optimizer
  23. val scope: Scope
  24. def state: List[STen]
    Definition Classes
    Yogi → Optimizer
  25. def step(gradients: Seq[Option[STen]], scheduleFactor: Double): Unit
    Definition Classes
    Yogi → Optimizer
  26. var stepCount: Long
  27. val stepCountSTen: STen
  28. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  29. val vt: List[STen]
  30. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  31. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  32. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  33. val weightDecay: OptimizerHyperparameter

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Optimizer

Inherited from AnyRef

Inherited from Any

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