class AdadeltaGradientDescentDVD extends StochasticGradientDescent[DenseVector[Double]]
Linear Supertypes
Ordering
- Alphabetic
- By Inheritance
Inherited
- AdadeltaGradientDescentDVD
- StochasticGradientDescent
- FirstOrderMinimizer
- SerializableLogging
- Serializable
- Serializable
- Minimizer
- AnyRef
- Any
- Hide All
- Show All
Visibility
- Public
- All
Instance Constructors
- new AdadeltaGradientDescentDVD(maxIter: Int, rho: Double = 0.95, tolerance: Double = 1E-5, minImprovementWindow: Int = 50)
Type Members
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
adjust(newX: DenseVector[Double], newGrad: DenseVector[Double], newVal: Double): (Double, DenseVector[Double])
- Attributes
- protected
- Definition Classes
- AdadeltaGradientDescentDVD → FirstOrderMinimizer
-
def
adjustFunction(f: StochasticDiffFunction[DenseVector[Double]]): StochasticDiffFunction[DenseVector[Double]]
- Attributes
- protected
- Definition Classes
- FirstOrderMinimizer
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
calculateObjective(f: StochasticDiffFunction[DenseVector[Double]], x: DenseVector[Double], history: History): (Double, DenseVector[Double])
- Attributes
- protected
- Definition Classes
- FirstOrderMinimizer
-
def
chooseDescentDirection(state: State, fn: StochasticDiffFunction[DenseVector[Double]]): DenseVector[Double]
- Attributes
- protected
- Definition Classes
- StochasticGradientDescent → FirstOrderMinimizer
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
val
convergenceCheck: ConvergenceCheck[DenseVector[Double]]
- Definition Classes
- FirstOrderMinimizer
-
val
defaultStepSize: Double
- Definition Classes
- StochasticGradientDescent
- val delta: Double
-
def
determineStepSize(state: State, f: StochasticDiffFunction[DenseVector[Double]], dir: DenseVector[Double]): Double
- Definition Classes
- AdadeltaGradientDescentDVD → StochasticGradientDescent → FirstOrderMinimizer
- val epsilon: Double
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
-
def
infiniteIterations(f: StochasticDiffFunction[DenseVector[Double]], state: State): Iterator[State]
- Definition Classes
- FirstOrderMinimizer
-
def
initialHistory(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): History
- Definition Classes
- AdadeltaGradientDescentDVD → FirstOrderMinimizer
-
def
initialState(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): State
- Attributes
- protected
- Definition Classes
- FirstOrderMinimizer
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
def
iterations(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): Iterator[State]
- Definition Classes
- FirstOrderMinimizer
-
def
logger: LazyLogger
- Attributes
- protected
- Definition Classes
- SerializableLogging
-
val
maxIter: Int
- Definition Classes
- StochasticGradientDescent
-
def
minimize(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): DenseVector[Double]
- Definition Classes
- FirstOrderMinimizer → Minimizer
-
def
minimizeAndReturnState(f: StochasticDiffFunction[DenseVector[Double]], init: DenseVector[Double]): State
- Definition Classes
- FirstOrderMinimizer
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
takeStep(state: State, dir: DenseVector[Double], stepSize: Double): DenseVector[Double]
- Attributes
- protected
- Definition Classes
- AdadeltaGradientDescentDVD → StochasticGradientDescent → FirstOrderMinimizer
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
def
updateHistory(newX: DenseVector[Double], newGrad: DenseVector[Double], newValue: Double, f: StochasticDiffFunction[DenseVector[Double]], oldState: State): History
- Definition Classes
- AdadeltaGradientDescentDVD → FirstOrderMinimizer
-
implicit
val
vspace: NormedModule[DenseVector[Double], Double]
- Attributes
- protected
- Definition Classes
- StochasticGradientDescent
-
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( ... )