Poly

A learning rate decay policy, where the effective learning rate follows a polynomial decay, to be zero by the max_iteration. Calculation: base_lr (1 - iter/maxIteration) ^ (power)

power: coeffient of decay, refer to calculation formula
maxIteration: max iteration when lr becomes zero

Linear Supertypes

Serializable, Serializable, Product, Equals, LearningRateSchedule, AnyRef, Any

Instance Constructors

new Poly(power: Double, maxIteration: Int)

power
coeffient of decay, refer to calculation formula
maxIteration
max iteration when lr becomes zero

Value Members

final def !=(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def !=(arg0: Any): Boolean

Definition Classes
Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def ==(arg0: Any): Boolean

Definition Classes
Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
var currentRate: Double

Definition Classes
LearningRateSchedule
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val maxIteration: Int

max iteration when lr becomes zero
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val power: Double

coeffient of decay, refer to calculation formula
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
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
Poly → LearningRateSchedule
def updateHyperParameter(config: Table, state: Table): Unit

Definition Classes
Poly → LearningRateSchedule
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

case class Poly(power: Double, maxIteration: Int) extends LearningRateSchedule with Product with Serializable

Instance Constructors

new Poly(power: Double, maxIteration: Int)

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

var currentRate: Double

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

final def getClass(): Class[_]

final def isInstanceOf[T0]: Boolean

val maxIteration: Int

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val power: Double

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

def updateHyperParameter[T](optimMethod: SGD[T]): Unit

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

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from LearningRateSchedule

Inherited from AnyRef

Inherited from Any

Ungrouped