scalation/scalation/scalation.optimization/StoppingRule

StoppingRule

scalation.optimization.StoppingRule

trait StoppingRule(upLimit: Int)

The StoppingRule trait provides stopping rules for early termination in iterative optimization algorithms.

Value parameters

upLimit: the number upward (loss increasing) steps allowed

Attributes

Graph
Supertypes: class Object

trait Matchable

class Any
Known subtypes: class GradientDescent_Adam

class GradientDescent_Mo

class GradientDescent_Mo2

class GradientDescent_NoLS

Members list

Value members

Concrete methods

Return the best solution found.

Attributes

Stop when too many steps have the loss function (e.g., sse) increasing. Signal a stopping condition by returning the best parameter vector, else null.

Value parameters

loss: the current value of the loss function (e.g., sum of squared errors)
x: the current value of the parameter vector

Attributes

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