SimpleSGD
class SimpleSGD[T](initialStepSize: Double, maxIter: Int)(implicit vs: NormedModule[T, Double]) extends StochasticGradientDescent[T]
class StochasticGradientDescent[T]
trait SerializableLogging
trait Serializable
class Object
trait Matchable
class Any
Type members
Types
Inherited types
Value members
Concrete methods
def updateHistory(newX: T, newGrad: T, newValue: Double, f: StochasticDiffFunction[T], oldState: State): History
Inherited methods
Choose a step size scale for this iteration.
Choose a step size scale for this iteration.
Default is eta / math.pow(state.iter + 1,2.0 / 3.0)
- Inherited from
- StochasticGradientDescent