State
case class State[+T, +ConvergenceInfo, +History](x: T, value: Double, grad: T, adjustedValue: Double, adjustedGradient: T, iter: Int, initialAdjVal: Double, history: History, convergenceInfo: ConvergenceInfo, searchFailed: Boolean, var convergenceReason: Option[ConvergenceReason])
Tracks the information about the optimizer, including the current point, its value, gradient, and then any history. Also includes information for checking convergence.
- Value Params
- adjustedGradient
f'(x) + r'(x), where r is any regularization added to the objective. For LBFGS, this is f'(x).
- adjustedValue
f(x) + r(x), where r is any regularization added to the objective. For LBFGS, this is f(x).
- convergenceReason
the convergence reason
- grad
f.gradientAt(x)
- history
any information needed by the optimizer to do updates.
- initialAdjVal
f(x_0) + r(x_0), used for checking convergence
- iter
what iteration number we are on.
- searchFailed
did the line search fail?
- value
f(x)
- x
the current point being considered
trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any